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diff --git a/main/_modules/torchaudio/models/emformer.html b/main/_modules/torchaudio/models/emformer.html index aec93ef2f94..5f352cd79e0 100644 --- a/main/_modules/torchaudio/models/emformer.html +++ b/main/_modules/torchaudio/models/emformer.html @@ -9,7 +9,7 @@ - torchaudio.models.emformer — Torchaudio 2.2.0.dev20240424 documentation + torchaudio.models.emformer — Torchaudio 2.2.0.dev20240503 documentation @@ -221,7 +221,7 @@
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diff --git a/main/_modules/torchaudio/models/rnnt.html b/main/_modules/torchaudio/models/rnnt.html index c4a130bcee3..e73b577df1f 100644 --- a/main/_modules/torchaudio/models/rnnt.html +++ b/main/_modules/torchaudio/models/rnnt.html @@ -9,7 +9,7 @@ - torchaudio.models.rnnt — Torchaudio 2.2.0.dev20240424 documentation + torchaudio.models.rnnt — Torchaudio 2.2.0.dev20240503 documentation @@ -221,7 +221,7 @@
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diff --git a/main/_modules/torchaudio/models/rnnt_decoder.html b/main/_modules/torchaudio/models/rnnt_decoder.html index c3b2e23c50d..f184092dae0 100644 --- a/main/_modules/torchaudio/models/rnnt_decoder.html +++ b/main/_modules/torchaudio/models/rnnt_decoder.html @@ -9,7 +9,7 @@ - torchaudio.models.rnnt_decoder — Torchaudio 2.2.0.dev20240424 documentation + torchaudio.models.rnnt_decoder — Torchaudio 2.2.0.dev20240503 documentation @@ -221,7 +221,7 @@
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diff --git a/main/_modules/torchaudio/models/squim/objective.html b/main/_modules/torchaudio/models/squim/objective.html index 7fa29bbf1c7..3f886a4826f 100644 --- a/main/_modules/torchaudio/models/squim/objective.html +++ b/main/_modules/torchaudio/models/squim/objective.html @@ -9,7 +9,7 @@ - torchaudio.models.squim.objective — Torchaudio 2.2.0.dev20240424 documentation + torchaudio.models.squim.objective — Torchaudio 2.2.0.dev20240503 documentation @@ -221,7 +221,7 @@
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diff --git a/main/_modules/torchaudio/models/squim/subjective.html b/main/_modules/torchaudio/models/squim/subjective.html index 7e915d0d4ea..aac67ff451a 100644 --- a/main/_modules/torchaudio/models/squim/subjective.html +++ b/main/_modules/torchaudio/models/squim/subjective.html @@ -9,7 +9,7 @@ - torchaudio.models.squim.subjective — Torchaudio 2.2.0.dev20240424 documentation + torchaudio.models.squim.subjective — Torchaudio 2.2.0.dev20240503 documentation @@ -221,7 +221,7 @@
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diff --git a/main/_modules/torchaudio/models/tacotron2.html b/main/_modules/torchaudio/models/tacotron2.html index 57187ae93b4..dfd43539d9d 100644 --- a/main/_modules/torchaudio/models/tacotron2.html +++ b/main/_modules/torchaudio/models/tacotron2.html @@ -9,7 +9,7 @@ - torchaudio.models.tacotron2 — Torchaudio 2.2.0.dev20240424 documentation + torchaudio.models.tacotron2 — Torchaudio 2.2.0.dev20240503 documentation @@ -221,7 +221,7 @@
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diff --git a/main/_modules/torchaudio/models/wav2letter.html b/main/_modules/torchaudio/models/wav2letter.html index 91c114efcb3..6c2dadbc46b 100644 --- a/main/_modules/torchaudio/models/wav2letter.html +++ b/main/_modules/torchaudio/models/wav2letter.html @@ -9,7 +9,7 @@ - torchaudio.models.wav2letter — Torchaudio 2.2.0.dev20240424 documentation + torchaudio.models.wav2letter — Torchaudio 2.2.0.dev20240503 documentation @@ -221,7 +221,7 @@
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diff --git a/main/_modules/torchaudio/models/wav2vec2/model.html b/main/_modules/torchaudio/models/wav2vec2/model.html index 4a8be4fdc5a..e8b84dc6be8 100644 --- a/main/_modules/torchaudio/models/wav2vec2/model.html +++ b/main/_modules/torchaudio/models/wav2vec2/model.html @@ -9,7 +9,7 @@ - torchaudio.models.wav2vec2.model — Torchaudio 2.2.0.dev20240424 documentation + torchaudio.models.wav2vec2.model — Torchaudio 2.2.0.dev20240503 documentation @@ -221,7 +221,7 @@
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diff --git a/main/_modules/torchaudio/models/wav2vec2/utils/import_fairseq.html b/main/_modules/torchaudio/models/wav2vec2/utils/import_fairseq.html index 85bf9f22f11..e25611c37b6 100644 --- a/main/_modules/torchaudio/models/wav2vec2/utils/import_fairseq.html +++ b/main/_modules/torchaudio/models/wav2vec2/utils/import_fairseq.html @@ -9,7 +9,7 @@ - torchaudio.models.wav2vec2.utils.import_fairseq — Torchaudio 2.2.0.dev20240424 documentation + torchaudio.models.wav2vec2.utils.import_fairseq — Torchaudio 2.2.0.dev20240503 documentation @@ -221,7 +221,7 @@
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diff --git a/main/_modules/torchaudio/models/wav2vec2/utils/import_huggingface.html b/main/_modules/torchaudio/models/wav2vec2/utils/import_huggingface.html index 39f7198a725..be22d77b2d9 100644 --- a/main/_modules/torchaudio/models/wav2vec2/utils/import_huggingface.html +++ b/main/_modules/torchaudio/models/wav2vec2/utils/import_huggingface.html @@ -9,7 +9,7 @@ - torchaudio.models.wav2vec2.utils.import_huggingface — Torchaudio 2.2.0.dev20240424 documentation + torchaudio.models.wav2vec2.utils.import_huggingface — Torchaudio 2.2.0.dev20240503 documentation @@ -221,7 +221,7 @@
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diff --git a/main/_modules/torchaudio/models/wavernn.html b/main/_modules/torchaudio/models/wavernn.html index dbbbf5cce67..d27c8844a54 100644 --- a/main/_modules/torchaudio/models/wavernn.html +++ b/main/_modules/torchaudio/models/wavernn.html @@ -9,7 +9,7 @@ - torchaudio.models.wavernn — Torchaudio 2.2.0.dev20240424 documentation + torchaudio.models.wavernn — Torchaudio 2.2.0.dev20240503 documentation @@ -221,7 +221,7 @@
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diff --git a/main/_modules/torchaudio/pipelines/_source_separation_pipeline.html b/main/_modules/torchaudio/pipelines/_source_separation_pipeline.html index e7edb4bfd4c..e0cb9d72970 100644 --- a/main/_modules/torchaudio/pipelines/_source_separation_pipeline.html +++ b/main/_modules/torchaudio/pipelines/_source_separation_pipeline.html @@ -9,7 +9,7 @@ - torchaudio.pipelines._source_separation_pipeline — Torchaudio 2.2.0.dev20240424 documentation + torchaudio.pipelines._source_separation_pipeline — Torchaudio 2.2.0.dev20240503 documentation @@ -221,7 +221,7 @@
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diff --git a/main/_modules/torchaudio/pipelines/_squim_pipeline.html b/main/_modules/torchaudio/pipelines/_squim_pipeline.html index 9775602b694..7528361f706 100644 --- a/main/_modules/torchaudio/pipelines/_squim_pipeline.html +++ b/main/_modules/torchaudio/pipelines/_squim_pipeline.html @@ -9,7 +9,7 @@ - torchaudio.pipelines._squim_pipeline — Torchaudio 2.2.0.dev20240424 documentation + torchaudio.pipelines._squim_pipeline — Torchaudio 2.2.0.dev20240503 documentation @@ -221,7 +221,7 @@
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diff --git a/main/_modules/torchaudio/pipelines/_tts/interface.html b/main/_modules/torchaudio/pipelines/_tts/interface.html index 0c707ddfa01..30e97eab4c0 100644 --- a/main/_modules/torchaudio/pipelines/_tts/interface.html +++ b/main/_modules/torchaudio/pipelines/_tts/interface.html @@ -9,7 +9,7 @@ - torchaudio.pipelines._tts.interface — Torchaudio 2.2.0.dev20240424 documentation + torchaudio.pipelines._tts.interface — Torchaudio 2.2.0.dev20240503 documentation @@ -221,7 +221,7 @@
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diff --git a/main/_modules/torchaudio/pipelines/_wav2vec2/impl.html b/main/_modules/torchaudio/pipelines/_wav2vec2/impl.html index 24907cec039..99474abfb1c 100644 --- a/main/_modules/torchaudio/pipelines/_wav2vec2/impl.html +++ b/main/_modules/torchaudio/pipelines/_wav2vec2/impl.html @@ -9,7 +9,7 @@ - torchaudio.pipelines._wav2vec2.impl — Torchaudio 2.2.0.dev20240424 documentation + torchaudio.pipelines._wav2vec2.impl — Torchaudio 2.2.0.dev20240503 documentation @@ -221,7 +221,7 @@
- 2.2.0.dev20240424 ▼ + 2.2.0.dev20240503 ▼
diff --git a/main/_modules/torchaudio/pipelines/rnnt_pipeline.html b/main/_modules/torchaudio/pipelines/rnnt_pipeline.html index f6d5c91beed..2015205f513 100644 --- a/main/_modules/torchaudio/pipelines/rnnt_pipeline.html +++ b/main/_modules/torchaudio/pipelines/rnnt_pipeline.html @@ -9,7 +9,7 @@ - torchaudio.pipelines.rnnt_pipeline — Torchaudio 2.2.0.dev20240424 documentation + torchaudio.pipelines.rnnt_pipeline — Torchaudio 2.2.0.dev20240503 documentation @@ -221,7 +221,7 @@
- 2.2.0.dev20240424 ▼ + 2.2.0.dev20240503 ▼
diff --git a/main/_modules/torchaudio/prototype/datasets/musan.html b/main/_modules/torchaudio/prototype/datasets/musan.html index bd51010ad31..14423b1cf83 100644 --- a/main/_modules/torchaudio/prototype/datasets/musan.html +++ b/main/_modules/torchaudio/prototype/datasets/musan.html @@ -9,7 +9,7 @@ - torchaudio.prototype.datasets.musan — Torchaudio 2.2.0.dev20240424 documentation + torchaudio.prototype.datasets.musan — Torchaudio 2.2.0.dev20240503 documentation @@ -221,7 +221,7 @@
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diff --git a/main/_modules/torchaudio/prototype/functional/_dsp.html b/main/_modules/torchaudio/prototype/functional/_dsp.html index 0dcfb6d9a2c..2b6a0e2f779 100644 --- a/main/_modules/torchaudio/prototype/functional/_dsp.html +++ b/main/_modules/torchaudio/prototype/functional/_dsp.html @@ -9,7 +9,7 @@ - torchaudio.prototype.functional._dsp — Torchaudio 2.2.0.dev20240424 documentation + torchaudio.prototype.functional._dsp — Torchaudio 2.2.0.dev20240503 documentation @@ -221,7 +221,7 @@
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diff --git a/main/_modules/torchaudio/prototype/functional/_rir.html b/main/_modules/torchaudio/prototype/functional/_rir.html index 77283ed503e..781376f7d13 100644 --- a/main/_modules/torchaudio/prototype/functional/_rir.html +++ b/main/_modules/torchaudio/prototype/functional/_rir.html @@ -9,7 +9,7 @@ - torchaudio.prototype.functional._rir — Torchaudio 2.2.0.dev20240424 documentation + torchaudio.prototype.functional._rir — Torchaudio 2.2.0.dev20240503 documentation @@ -221,7 +221,7 @@
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diff --git a/main/_modules/torchaudio/prototype/functional/functional.html b/main/_modules/torchaudio/prototype/functional/functional.html index e3ce584f04d..9a8d2da28af 100644 --- a/main/_modules/torchaudio/prototype/functional/functional.html +++ b/main/_modules/torchaudio/prototype/functional/functional.html @@ -9,7 +9,7 @@ - torchaudio.prototype.functional.functional — Torchaudio 2.2.0.dev20240424 documentation + torchaudio.prototype.functional.functional — Torchaudio 2.2.0.dev20240503 documentation @@ -221,7 +221,7 @@
- 2.2.0.dev20240424 ▼ + 2.2.0.dev20240503 ▼
diff --git a/main/_modules/torchaudio/prototype/models/_conformer_wav2vec2.html b/main/_modules/torchaudio/prototype/models/_conformer_wav2vec2.html index 376f7937d2e..b9e849ae5f4 100644 --- a/main/_modules/torchaudio/prototype/models/_conformer_wav2vec2.html +++ b/main/_modules/torchaudio/prototype/models/_conformer_wav2vec2.html @@ -9,7 +9,7 @@ - torchaudio.prototype.models._conformer_wav2vec2 — Torchaudio 2.2.0.dev20240424 documentation + torchaudio.prototype.models._conformer_wav2vec2 — Torchaudio 2.2.0.dev20240503 documentation @@ -221,7 +221,7 @@
- 2.2.0.dev20240424 ▼ + 2.2.0.dev20240503 ▼
diff --git a/main/_modules/torchaudio/prototype/models/_emformer_hubert.html b/main/_modules/torchaudio/prototype/models/_emformer_hubert.html index e2bc0730065..fae080d0538 100644 --- a/main/_modules/torchaudio/prototype/models/_emformer_hubert.html +++ b/main/_modules/torchaudio/prototype/models/_emformer_hubert.html @@ -9,7 +9,7 @@ - torchaudio.prototype.models._emformer_hubert — Torchaudio 2.2.0.dev20240424 documentation + torchaudio.prototype.models._emformer_hubert — Torchaudio 2.2.0.dev20240503 documentation @@ -221,7 +221,7 @@
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diff --git a/main/_modules/torchaudio/prototype/models/conv_emformer.html b/main/_modules/torchaudio/prototype/models/conv_emformer.html index 72753f1d75b..e3398eed4f2 100644 --- a/main/_modules/torchaudio/prototype/models/conv_emformer.html +++ b/main/_modules/torchaudio/prototype/models/conv_emformer.html @@ -9,7 +9,7 @@ - torchaudio.prototype.models.conv_emformer — Torchaudio 2.2.0.dev20240424 documentation + torchaudio.prototype.models.conv_emformer — Torchaudio 2.2.0.dev20240503 documentation @@ -221,7 +221,7 @@
- 2.2.0.dev20240424 ▼ + 2.2.0.dev20240503 ▼
diff --git a/main/_modules/torchaudio/prototype/models/hifi_gan.html b/main/_modules/torchaudio/prototype/models/hifi_gan.html index 86c174a8e70..69be3a04e70 100644 --- a/main/_modules/torchaudio/prototype/models/hifi_gan.html +++ b/main/_modules/torchaudio/prototype/models/hifi_gan.html @@ -9,7 +9,7 @@ - torchaudio.prototype.models.hifi_gan — Torchaudio 2.2.0.dev20240424 documentation + torchaudio.prototype.models.hifi_gan — Torchaudio 2.2.0.dev20240503 documentation @@ -221,7 +221,7 @@
- 2.2.0.dev20240424 ▼ + 2.2.0.dev20240503 ▼
diff --git a/main/_modules/torchaudio/prototype/models/rnnt.html b/main/_modules/torchaudio/prototype/models/rnnt.html index b136a14cef1..7e278e5b1f2 100644 --- a/main/_modules/torchaudio/prototype/models/rnnt.html +++ b/main/_modules/torchaudio/prototype/models/rnnt.html @@ -9,7 +9,7 @@ - torchaudio.prototype.models.rnnt — Torchaudio 2.2.0.dev20240424 documentation + torchaudio.prototype.models.rnnt — Torchaudio 2.2.0.dev20240503 documentation @@ -221,7 +221,7 @@
- 2.2.0.dev20240424 ▼ + 2.2.0.dev20240503 ▼
diff --git a/main/_modules/torchaudio/prototype/pipelines/_vggish/_vggish_pipeline.html b/main/_modules/torchaudio/prototype/pipelines/_vggish/_vggish_pipeline.html index 0509c344071..6c7679da3c4 100644 --- a/main/_modules/torchaudio/prototype/pipelines/_vggish/_vggish_pipeline.html +++ b/main/_modules/torchaudio/prototype/pipelines/_vggish/_vggish_pipeline.html @@ -9,7 +9,7 @@ - torchaudio.prototype.pipelines._vggish._vggish_pipeline — Torchaudio 2.2.0.dev20240424 documentation + torchaudio.prototype.pipelines._vggish._vggish_pipeline — Torchaudio 2.2.0.dev20240503 documentation @@ -221,7 +221,7 @@
- 2.2.0.dev20240424 ▼ + 2.2.0.dev20240503 ▼
diff --git a/main/_modules/torchaudio/prototype/pipelines/hifigan_pipeline.html b/main/_modules/torchaudio/prototype/pipelines/hifigan_pipeline.html index cc8f87e8882..e35784933eb 100644 --- a/main/_modules/torchaudio/prototype/pipelines/hifigan_pipeline.html +++ b/main/_modules/torchaudio/prototype/pipelines/hifigan_pipeline.html @@ -9,7 +9,7 @@ - torchaudio.prototype.pipelines.hifigan_pipeline — Torchaudio 2.2.0.dev20240424 documentation + torchaudio.prototype.pipelines.hifigan_pipeline — Torchaudio 2.2.0.dev20240503 documentation @@ -221,7 +221,7 @@
- 2.2.0.dev20240424 ▼ + 2.2.0.dev20240503 ▼
diff --git a/main/_modules/torchaudio/prototype/transforms/_transforms.html b/main/_modules/torchaudio/prototype/transforms/_transforms.html index 3b8718d0bf2..3b031e67a20 100644 --- a/main/_modules/torchaudio/prototype/transforms/_transforms.html +++ b/main/_modules/torchaudio/prototype/transforms/_transforms.html @@ -9,7 +9,7 @@ - torchaudio.prototype.transforms._transforms — Torchaudio 2.2.0.dev20240424 documentation + torchaudio.prototype.transforms._transforms — Torchaudio 2.2.0.dev20240503 documentation @@ -221,7 +221,7 @@
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diff --git a/main/_modules/torchaudio/sox_effects/sox_effects.html b/main/_modules/torchaudio/sox_effects/sox_effects.html index ab6917febbf..c9458fad34d 100644 --- a/main/_modules/torchaudio/sox_effects/sox_effects.html +++ b/main/_modules/torchaudio/sox_effects/sox_effects.html @@ -9,7 +9,7 @@ - torchaudio.sox_effects.sox_effects — Torchaudio 2.2.0.dev20240424 documentation + torchaudio.sox_effects.sox_effects — Torchaudio 2.2.0.dev20240503 documentation @@ -221,7 +221,7 @@
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diff --git a/main/_modules/torchaudio/transforms/_multi_channel.html b/main/_modules/torchaudio/transforms/_multi_channel.html index 61c7349cd0a..a21ac7fa72f 100644 --- a/main/_modules/torchaudio/transforms/_multi_channel.html +++ b/main/_modules/torchaudio/transforms/_multi_channel.html @@ -9,7 +9,7 @@ - torchaudio.transforms._multi_channel — Torchaudio 2.2.0.dev20240424 documentation + torchaudio.transforms._multi_channel — Torchaudio 2.2.0.dev20240503 documentation @@ -221,7 +221,7 @@
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diff --git a/main/_modules/torchaudio/transforms/_transforms.html b/main/_modules/torchaudio/transforms/_transforms.html index cb86b49b176..548e59bf2e2 100644 --- a/main/_modules/torchaudio/transforms/_transforms.html +++ b/main/_modules/torchaudio/transforms/_transforms.html @@ -9,7 +9,7 @@ - torchaudio.transforms._transforms — Torchaudio 2.2.0.dev20240424 documentation + torchaudio.transforms._transforms — Torchaudio 2.2.0.dev20240503 documentation @@ -221,7 +221,7 @@
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diff --git a/main/_modules/torchaudio/utils/sox_utils.html b/main/_modules/torchaudio/utils/sox_utils.html index f56c7a6ff70..af0f0e1cd5b 100644 --- a/main/_modules/torchaudio/utils/sox_utils.html +++ b/main/_modules/torchaudio/utils/sox_utils.html @@ -9,7 +9,7 @@ - torchaudio.utils.sox_utils — Torchaudio 2.2.0.dev20240424 documentation + torchaudio.utils.sox_utils — Torchaudio 2.2.0.dev20240503 documentation @@ -221,7 +221,7 @@
- 2.2.0.dev20240424 ▼ + 2.2.0.dev20240503 ▼
diff --git a/main/_modules/torio/io/_streaming_media_decoder.html b/main/_modules/torio/io/_streaming_media_decoder.html index 262fc2f4d38..a1cabf28c61 100644 --- a/main/_modules/torio/io/_streaming_media_decoder.html +++ b/main/_modules/torio/io/_streaming_media_decoder.html @@ -9,7 +9,7 @@ - torio.io._streaming_media_decoder — Torchaudio 2.2.0.dev20240424 documentation + torio.io._streaming_media_decoder — Torchaudio 2.2.0.dev20240503 documentation @@ -221,7 +221,7 @@
- 2.2.0.dev20240424 ▼ + 2.2.0.dev20240503 ▼
diff --git a/main/_modules/torio/io/_streaming_media_encoder.html b/main/_modules/torio/io/_streaming_media_encoder.html index 6faa874f9cc..bfe1c6c669a 100644 --- a/main/_modules/torio/io/_streaming_media_encoder.html +++ b/main/_modules/torio/io/_streaming_media_encoder.html @@ -9,7 +9,7 @@ - torio.io._streaming_media_encoder — Torchaudio 2.2.0.dev20240424 documentation + torio.io._streaming_media_encoder — Torchaudio 2.2.0.dev20240503 documentation @@ -221,7 +221,7 @@
- 2.2.0.dev20240424 ▼ + 2.2.0.dev20240503 ▼
diff --git a/main/_modules/torio/utils/ffmpeg_utils.html b/main/_modules/torio/utils/ffmpeg_utils.html index 32177980b94..3f90dedb282 100644 --- a/main/_modules/torio/utils/ffmpeg_utils.html +++ b/main/_modules/torio/utils/ffmpeg_utils.html @@ -9,7 +9,7 @@ - torio.utils.ffmpeg_utils — Torchaudio 2.2.0.dev20240424 documentation + torio.utils.ffmpeg_utils — Torchaudio 2.2.0.dev20240503 documentation @@ -221,7 +221,7 @@
- 2.2.0.dev20240424 ▼ + 2.2.0.dev20240503 ▼
diff --git a/main/_sources/tutorials/additive_synthesis_tutorial.rst.txt b/main/_sources/tutorials/additive_synthesis_tutorial.rst.txt index 48d96fdd76b..da6ae90f5b4 100644 --- a/main/_sources/tutorials/additive_synthesis_tutorial.rst.txt +++ b/main/_sources/tutorials/additive_synthesis_tutorial.rst.txt @@ -58,8 +58,8 @@ Subtractive synthesis creates timbre by applying filters. .. code-block:: none - 2.4.0.dev20240423 - 2.2.0.dev20240424 + 2.4.0.dev20240502 + 2.2.0.dev20240503 @@ -626,7 +626,7 @@ References .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 4.864 seconds) + **Total running time of the script:** ( 0 minutes 4.856 seconds) .. _sphx_glr_download_tutorials_additive_synthesis_tutorial.py: diff --git a/main/_sources/tutorials/asr_inference_with_ctc_decoder_tutorial.rst.txt b/main/_sources/tutorials/asr_inference_with_ctc_decoder_tutorial.rst.txt index bd21517ea44..22d41999a92 100644 --- a/main/_sources/tutorials/asr_inference_with_ctc_decoder_tutorial.rst.txt +++ b/main/_sources/tutorials/asr_inference_with_ctc_decoder_tutorial.rst.txt @@ -86,8 +86,8 @@ working with .. code-block:: none - 2.4.0.dev20240423 - 2.2.0.dev20240424 + 2.4.0.dev20240502 + 2.2.0.dev20240503 @@ -141,7 +141,7 @@ tutorial <./speech_recognition_pipeline_tutorial.html>`__. .. code-block:: none Downloading: "https://download.pytorch.org/torchaudio/models/wav2vec2_fairseq_base_ls960_asr_ll10m.pth" to /root/.cache/torch/hub/checkpoints/wav2vec2_fairseq_base_ls960_asr_ll10m.pth - 0%| | 0.00/360M [00:00', '', '', 'S', 'ā–THE', 'ā–A', 'T', 'ā–AND', 'ED', 'ā–OF', 'ā–TO', 'E', 'D', 'N', 'ING', 'ā–IN', 'Y', 'M', 'C', 'ā–I', 'A', 'P', 'ā–HE', 'R', 'O', 'L', 'RE', 'I', 'U', 'ER', 'ā–IT', 'LY', 'ā–THAT', 'ā–WAS', 'ā–', 'ā–S', 'AR', 'ā–BE', 'F', 'ā–C', 'IN', 'B', 'ā–FOR', 'OR', 'LE', "'", 'ā–HIS', 'ā–YOU', 'AL', 'ā–RE', 'V', 'ā–B', 'G', 'RI', 'ā–E', 'ā–WITH', 'ā–T', 'ā–AS', 'LL', 'ā–P', 'ā–HER', 'ST', 'ā–HAD', 'ā–SO', 'ā–F', 'W', 'CE', 'ā–IS', 'ND', 'ā–NOT', 'TH', 'ā–BUT', 'EN', 'ā–SHE', 'ā–ON', 'VE', 'ON', 'SE', 'ā–DE', 'UR', 'ā–G', 'CH', 'K', 'TER', 'ā–AT', 'IT', 'ā–ME', 'RO', 'NE', 'RA', 'ES', 'IL', 'NG', 'IC', 'ā–NO', 'ā–HIM', 'ENT', 'IR', 'ā–WE', 'H', 'ā–DO', 'ā–ALL', 'ā–HAVE', 'LO', 'ā–BY', 'ā–MY', 'ā–MO', 'ā–THIS', 'LA', 'ā–ST', 'ā–WHICH', 'ā–CON', 'ā–THEY', 'CK', 'TE', 'ā–SAID', 'ā–FROM', 'ā–GO', 'ā–WHO', 'ā–TH', 'ā–OR', 'ā–D', 'ā–W', 'VER', 'LI', 'ā–SE', 'ā–ONE', 'ā–CA', 'ā–AN', 'ā–LA', 'ā–WERE', 'EL', 'ā–HA', 'ā–MAN', 'ā–FA', 'ā–EX', 'AD', 'ā–SU', 'RY', 'ā–MI', 'AT', 'ā–BO', 'ā–WHEN', 'AN', 'THER', 'PP', 'ATION', 'ā–FI', 'ā–WOULD', 'ā–PRO', 'OW', 'ET', 'ā–O', 'ā–THERE', 'ā–HO', 'ION', 'ā–WHAT', 'ā–FE', 'ā–PA', 'US', 'MENT', 'ā–MA', 'UT', 'ā–OUT', 'ā–THEIR', 'ā–IF', 'ā–LI', 'ā–K', 'ā–WILL', 'ā–ARE', 'ID', 'ā–RO', 'DE', 'TION', 'ā–WA', 'PE', 'ā–UP', 'ā–SP', 'ā–PO', 'IGHT', 'ā–UN', 'RU', 'ā–LO', 'AS', 'OL', 'ā–LE', 'ā–BEEN', 'ā–SH', 'ā–RA', 'ā–SEE', 'KE', 'UL', 'TED', 'ā–SA', 'UN', 'UND', 'ANT', 'ā–NE', 'IS', 'ā–THEM', 'CI', 'GE', 'ā–COULD', 'ā–DIS', 'OM', 'ISH', 'HE', 'EST', 'ā–SOME', 'ENCE', 'ITY', 'IVE', 'ā–US', 'ā–MORE', 'ā–EN', 'ARD', 'ATE', 'ā–YOUR', 'ā–INTO', 'ā–KNOW', 'ā–CO', 'ANCE', 'ā–TIME', 'ā–WI', 'ā–YE', 'AGE', 'ā–NOW', 'TI', 'FF', 'ABLE', 'ā–VERY', 'ā–LIKE', 'AM', 'HI', 'Z', 'ā–OTHER', 'ā–THAN', 'ā–LITTLE', 'ā–DID', 'ā–LOOK', 'TY', 'ERS', 'ā–CAN', 'ā–CHA', 'ā–AR', 'X', 'FUL', 'UGH', 'ā–BA', 'ā–DAY', 'ā–ABOUT', 'TEN', 'IM', 'ā–ANY', 'ā–PRE', 'ā–OVER', 'IES', 'NESS', 'ME', 'BLE', 'ā–M', 'ROW', 'ā–HAS', 'ā–GREAT', 'ā–VI', 'TA', 'ā–AFTER', 'PER', 'ā–AGAIN', 'HO', 'SH', 'ā–UPON', 'ā–DI', 'ā–HAND', 'ā–COM', 'IST', 'TURE', 'ā–STA', 'ā–THEN', 'ā–SHOULD', 'ā–GA', 'OUS', 'OUR', 'ā–WELL', 'ā–ONLY', 'MAN', 'ā–GOOD', 'ā–TWO', 'ā–MAR', 'ā–SAY', 'ā–HU', 'TING', 'ā–OUR', 'RESS', 'ā–DOWN', 'IOUS', 'ā–BEFORE', 'ā–DA', 'ā–NA', 'QUI', 'ā–MADE', 'ā–EVERY', 'ā–OLD', 'ā–EVEN', 'IG', 'ā–COME', 'ā–GRA', 'ā–RI', 'ā–LONG', 'OT', 'SIDE', 'WARD', 'ā–FO', 'ā–WHERE', 'MO', 'LESS', 'ā–SC', 'ā–MUST', 'ā–NEVER', 'ā–HOW', 'ā–CAME', 'ā–SUCH', 'ā–RU', 'ā–TAKE', 'ā–WO', 'ā–CAR', 'UM', 'AK', 'ā–THINK', 'ā–MUCH', 'ā–MISTER', 'ā–MAY', 'ā–JO', 'ā–WAY', 'ā–COMP', 'ā–THOUGHT', 'ā–STO', 'ā–MEN', 'ā–BACK', 'ā–DON', 'J', 'ā–LET', 'ā–TRA', 'ā–FIRST', 'ā–JUST', 'ā–VA', 'ā–OWN', 'ā–PLA', 'ā–MAKE', 'ATED', 'ā–HIMSELF', 'ā–WENT', 'ā–PI', 'GG', 'RING', 'ā–DU', 'ā–MIGHT', 'ā–PART', 'ā–GIVE', 'ā–IMP', 'ā–BU', 'ā–PER', 'ā–PLACE', 'ā–HOUSE', 'ā–THROUGH', 'IAN', 'ā–SW', 'ā–UNDER', 'QUE', 'ā–AWAY', 'ā–LOVE', 'QUA', 'ā–LIFE', 'ā–GET', 'ā–WITHOUT', 'ā–PASS', 'ā–TURN', 'IGN', 'ā–HEAD', 'ā–MOST', 'ā–THOSE', 'ā–SHALL', 'ā–EYES', 'ā–COL', 'ā–STILL', 'ā–NIGHT', 'ā–NOTHING', 'ITION', 'HA', 'ā–TELL', 'ā–WORK', 'ā–LAST', 'ā–NEW', 'ā–FACE', 'ā–HI', 'ā–WORD', 'ā–FOUND', 'ā–COUNT', 'ā–OB', 'ā–WHILE', 'ā–SHA', 'ā–MEAN', 'ā–SAW', 'ā–PEOPLE', 'ā–FRIEND', 'ā–THREE', 'ā–ROOM', 'ā–SAME', 'ā–THOUGH', 'ā–RIGHT', 'ā–CHILD', 'ā–FATHER', 'ā–ANOTHER', 'ā–HEART', 'ā–WANT', 'ā–TOOK', 'OOK', 'ā–LIGHT', 'ā–MISSUS', 'ā–OPEN', 'ā–JU', 'ā–ASKED', 'PORT', 'ā–LEFT', 'ā–JA', 'ā–WORLD', 'ā–HOME', 'ā–WHY', 'ā–ALWAYS', 'ā–ANSWER', 'ā–SEEMED', 'ā–SOMETHING', 'ā–GIRL', 'ā–BECAUSE', 'ā–NAME', 'ā–TOLD', 'ā–NI', 'ā–HIGH', 'IZE', 'ā–WOMAN', 'ā–FOLLOW', 'ā–RETURN', 'ā–KNEW', 'ā–EACH', 'ā–KIND', 'ā–JE', 'ā–ACT', 'ā–LU', 'ā–CERTAIN', 'ā–YEARS', 'ā–QUITE', 'ā–APPEAR', 'ā–BETTER', 'ā–HALF', 'ā–PRESENT', 'ā–PRINCE', 'SHIP', 'ā–ALSO', 'ā–BEGAN', 'ā–HAVING', 'ā–ENOUGH', 'ā–PERSON', 'ā–LADY', 'ā–WHITE', 'ā–COURSE', 'ā–VOICE', 'ā–SPEAK', 'ā–POWER', 'ā–MORNING', 'ā–BETWEEN', 'ā–AMONG', 'ā–KEEP', 'ā–WALK', 'ā–MATTER', 'ā–TEA', 'ā–BELIEVE', 'ā–SMALL', 'ā–TALK', 'ā–FELT', 'ā–HORSE', 'ā–MYSELF', 'ā–SIX', 'ā–HOWEVER', 'ā–FULL', 'ā–HERSELF', 'ā–POINT', 'ā–STOOD', 'ā–HUNDRED', 'ā–ALMOST', 'ā–SINCE', 'ā–LARGE', 'ā–LEAVE', 'ā–PERHAPS', 'ā–DARK', 'ā–SUDDEN', 'ā–REPLIED', 'ā–ANYTHING', 'ā–WONDER', 'ā–UNTIL', 'Q'] @@ -564,7 +564,7 @@ From the above table, CUDA decoder could give a slight improvement in WER and a .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 2.491 seconds) + **Total running time of the script:** ( 0 minutes 8.108 seconds) .. _sphx_glr_download_tutorials_asr_inference_with_cuda_ctc_decoder_tutorial.py: diff --git a/main/_sources/tutorials/audio_data_augmentation_tutorial.rst.txt b/main/_sources/tutorials/audio_data_augmentation_tutorial.rst.txt index 8fcf8caa5ae..051cf78ebff 100644 --- a/main/_sources/tutorials/audio_data_augmentation_tutorial.rst.txt +++ b/main/_sources/tutorials/audio_data_augmentation_tutorial.rst.txt @@ -52,8 +52,8 @@ At the end, we synthesize noisy speech over phone from clean speech. .. code-block:: none - 2.4.0.dev20240423 - 2.2.0.dev20240424 + 2.4.0.dev20240502 + 2.2.0.dev20240503 @@ -89,9 +89,9 @@ First, we import the modules and download the audio assets we use in this tutori .. code-block:: none - 0%| | 0.00/427k [00:00 44.1 kHz) .. code-block:: none librosa functional transforms - sinc (width 64) NaN 0.87 0.39 - sinc (width 16) NaN 0.70 0.36 - kaiser_best 84.25 1.22 0.39 - kaiser_fast 7.90 0.96 0.36 + sinc (width 64) NaN 0.90 0.39 + sinc (width 16) NaN 0.73 0.34 + kaiser_best 82.91 1.25 0.38 + kaiser_fast 7.83 0.98 0.34 @@ -941,10 +941,10 @@ Downsample (16 -> 8 kHz) .. code-block:: none librosa functional transforms - sinc (width 64) NaN 1.37 1.20 - sinc (width 16) NaN 0.54 0.39 - kaiser_best 11.31 1.40 1.22 - kaiser_fast 3.14 0.61 0.43 + sinc (width 64) NaN 1.27 1.09 + sinc (width 16) NaN 0.53 0.37 + kaiser_best 11.24 1.39 1.15 + kaiser_fast 3.12 0.60 0.41 @@ -976,10 +976,10 @@ Upsample (44.1 -> 48 kHz) .. code-block:: none librosa functional transforms - sinc (width 64) NaN 0.86 0.40 - sinc (width 16) NaN 0.71 0.35 - kaiser_best 32.72 1.09 0.37 - kaiser_fast 7.86 0.95 0.36 + sinc (width 64) NaN 0.86 0.37 + sinc (width 16) NaN 0.71 0.33 + kaiser_best 32.64 1.11 0.36 + kaiser_fast 7.83 0.94 0.33 @@ -1011,10 +1011,10 @@ Upsample (8 -> 16 kHz) .. code-block:: none librosa functional transforms - sinc (width 64) NaN 0.75 0.55 - sinc (width 16) NaN 0.38 0.22 - kaiser_best 11.23 0.79 0.56 - kaiser_fast 2.98 0.42 0.25 + sinc (width 64) NaN 0.65 0.43 + sinc (width 16) NaN 0.37 0.22 + kaiser_best 11.17 0.67 0.44 + kaiser_fast 2.96 0.41 0.21 @@ -1039,7 +1039,7 @@ To elaborate on the results: .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 3.372 seconds) + **Total running time of the script:** ( 0 minutes 3.349 seconds) .. _sphx_glr_download_tutorials_audio_resampling_tutorial.py: diff --git a/main/_sources/tutorials/ctc_forced_alignment_api_tutorial.rst.txt b/main/_sources/tutorials/ctc_forced_alignment_api_tutorial.rst.txt index f5a4b3faa83..cd125ce2f70 100644 --- a/main/_sources/tutorials/ctc_forced_alignment_api_tutorial.rst.txt +++ b/main/_sources/tutorials/ctc_forced_alignment_api_tutorial.rst.txt @@ -65,8 +65,8 @@ Preparation .. code-block:: none - 2.4.0.dev20240423 - 2.2.0.dev20240424 + 2.4.0.dev20240502 + 2.2.0.dev20240503 @@ -175,7 +175,7 @@ the transcript. .. code-block:: none Downloading: "https://dl.fbaipublicfiles.com/mms/torchaudio/ctc_alignment_mling_uroman/model.pt" to /root/.cache/torch/hub/checkpoints/model.pt - 0%| | 0.00/1.18G [00:00 @@ -1368,7 +1375,7 @@ Tag: :obj:`torchaudio.io` .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 3.084 seconds) + **Total running time of the script:** ( 0 minutes 3.082 seconds) .. _sphx_glr_download_tutorials_effector_tutorial.py: diff --git a/main/_sources/tutorials/filter_design_tutorial.rst.txt b/main/_sources/tutorials/filter_design_tutorial.rst.txt index 5f5b76adca1..36e70dc6228 100644 --- a/main/_sources/tutorials/filter_design_tutorial.rst.txt +++ b/main/_sources/tutorials/filter_design_tutorial.rst.txt @@ -56,8 +56,8 @@ windowed-sinc kernels, and frequency sampling method. .. code-block:: none - 2.4.0.dev20240423 - 2.2.0.dev20240424 + 2.4.0.dev20240502 + 2.2.0.dev20240503 @@ -674,7 +674,7 @@ References .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 5.307 seconds) + **Total running time of the script:** ( 0 minutes 5.236 seconds) .. _sphx_glr_download_tutorials_filter_design_tutorial.py: diff --git a/main/_sources/tutorials/forced_alignment_for_multilingual_data_tutorial.rst.txt b/main/_sources/tutorials/forced_alignment_for_multilingual_data_tutorial.rst.txt index e75a547c2d1..554577ebd66 100644 --- a/main/_sources/tutorials/forced_alignment_for_multilingual_data_tutorial.rst.txt +++ b/main/_sources/tutorials/forced_alignment_for_multilingual_data_tutorial.rst.txt @@ -55,8 +55,8 @@ model, tokenizer and aligner, to perform the forced alignment with less code. .. code-block:: none - 2.4.0.dev20240423 - 2.2.0.dev20240424 + 2.4.0.dev20240502 + 2.2.0.dev20240503 cuda @@ -2039,7 +2039,7 @@ forced aligner API. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 4.117 seconds) + **Total running time of the script:** ( 0 minutes 3.675 seconds) .. _sphx_glr_download_tutorials_forced_alignment_for_multilingual_data_tutorial.py: diff --git a/main/_sources/tutorials/forced_alignment_tutorial.rst.txt b/main/_sources/tutorials/forced_alignment_tutorial.rst.txt index 50976f5c3ea..1c481371635 100644 --- a/main/_sources/tutorials/forced_alignment_tutorial.rst.txt +++ b/main/_sources/tutorials/forced_alignment_tutorial.rst.txt @@ -72,8 +72,8 @@ Recognition `__. .. code-block:: none - 2.4.0.dev20240423 - 2.2.0.dev20240424 + 2.4.0.dev20240502 + 2.2.0.dev20240503 cuda @@ -1300,7 +1300,7 @@ perform CTC segmentation for forced alignment. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 1.751 seconds) + **Total running time of the script:** ( 0 minutes 1.714 seconds) .. _sphx_glr_download_tutorials_forced_alignment_tutorial.py: diff --git a/main/_sources/tutorials/hybrid_demucs_tutorial.rst.txt b/main/_sources/tutorials/hybrid_demucs_tutorial.rst.txt index 4d3bd136de1..41f8fd49605 100644 --- a/main/_sources/tutorials/hybrid_demucs_tutorial.rst.txt +++ b/main/_sources/tutorials/hybrid_demucs_tutorial.rst.txt @@ -78,8 +78,8 @@ First, we install the necessary dependencies. The first requirement is .. code-block:: none - 2.4.0.dev20240423 - 2.2.0.dev20240424 + 2.4.0.dev20240502 + 2.2.0.dev20240503 @@ -146,7 +146,7 @@ and has a nfft value of 4096 with a depth of 6 in the model implementation. .. code-block:: none - 0%| | 0.00/319M [00:00 @@ -547,7 +547,7 @@ a model and getting the emission is as short as two lines. .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 7.583 seconds) + **Total running time of the script:** ( 0 minutes 6.359 seconds) .. _sphx_glr_download_tutorials_speech_recognition_pipeline_tutorial.py: diff --git a/main/_sources/tutorials/squim_tutorial.rst.txt b/main/_sources/tutorials/squim_tutorial.rst.txt index 5280e4bd98e..b5473115e9e 100644 --- a/main/_sources/tutorials/squim_tutorial.rst.txt +++ b/main/_sources/tutorials/squim_tutorial.rst.txt @@ -97,8 +97,8 @@ through MOS using non-matching references.ā€ Interspeech, 2022. .. code-block:: none - 2.4.0.dev20240423 - 2.2.0.dev20240424 + 2.4.0.dev20240502 + 2.2.0.dev20240503 @@ -225,7 +225,7 @@ plot data, pystoi, pesq for computing reference metrics. .. code-block:: none - 0%| | 0.00/156k [00:00
@@ -911,7 +911,7 @@ Tag: :obj:`torchaudio.io` .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 7.246 seconds) + **Total running time of the script:** ( 0 minutes 7.390 seconds) .. _sphx_glr_download_tutorials_streamwriter_basic_tutorial.py: diff --git a/main/_sources/tutorials/subtractive_synthesis_tutorial.rst.txt b/main/_sources/tutorials/subtractive_synthesis_tutorial.rst.txt index 8686ebd130f..6b950b6fe2b 100644 --- a/main/_sources/tutorials/subtractive_synthesis_tutorial.rst.txt +++ b/main/_sources/tutorials/subtractive_synthesis_tutorial.rst.txt @@ -56,8 +56,8 @@ Subtractive synthesis creates timbre by applying filters to source waveform. .. code-block:: none - 2.4.0.dev20240423 - 2.2.0.dev20240424 + 2.4.0.dev20240502 + 2.2.0.dev20240503 @@ -648,7 +648,7 @@ References .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 8.130 seconds) + **Total running time of the script:** ( 0 minutes 7.964 seconds) .. _sphx_glr_download_tutorials_subtractive_synthesis_tutorial.py: diff --git a/main/_sources/tutorials/tacotron2_pipeline_tutorial.rst.txt b/main/_sources/tutorials/tacotron2_pipeline_tutorial.rst.txt index 62028f399fb..42ae2368a49 100644 --- a/main/_sources/tutorials/tacotron2_pipeline_tutorial.rst.txt +++ b/main/_sources/tutorials/tacotron2_pipeline_tutorial.rst.txt @@ -102,8 +102,8 @@ encoding. .. code-block:: none - 2.4.0.dev20240423 - 2.2.0.dev20240424 + 2.4.0.dev20240502 + 2.2.0.dev20240503 cuda @@ -295,7 +295,7 @@ fetched. .. code-block:: none - 0%| | 0.00/63.6M [00:00 - Enabling GPU video decoder/encoder — Torchaudio 2.2.0.dev20240424 documentation + Enabling GPU video decoder/encoder — Torchaudio 2.2.0.dev20240503 documentation @@ -224,7 +224,7 @@
- 2.2.0.dev20240424 ▼ + 2.2.0.dev20240503 ▼
diff --git a/main/build.html b/main/build.html index 997605a3653..e915c257577 100644 --- a/main/build.html +++ b/main/build.html @@ -10,7 +10,7 @@ - Building from source — Torchaudio 2.2.0.dev20240424 documentation + Building from source — Torchaudio 2.2.0.dev20240503 documentation @@ -224,7 +224,7 @@
- 2.2.0.dev20240424 ▼ + 2.2.0.dev20240503 ▼
diff --git a/main/build.jetson.html b/main/build.jetson.html index 4c96ad721cc..cd8018a6e6c 100644 --- a/main/build.jetson.html +++ b/main/build.jetson.html @@ -10,7 +10,7 @@ - Building on Jetson — Torchaudio 2.2.0.dev20240424 documentation + Building on Jetson — Torchaudio 2.2.0.dev20240503 documentation @@ -224,7 +224,7 @@
- 2.2.0.dev20240424 ▼ + 2.2.0.dev20240503 ▼
diff --git a/main/build.linux.html b/main/build.linux.html index 727a63b6887..dc9c366590b 100644 --- a/main/build.linux.html +++ b/main/build.linux.html @@ -10,7 +10,7 @@ - Building on Linux and macOS — Torchaudio 2.2.0.dev20240424 documentation + Building on Linux and macOS — Torchaudio 2.2.0.dev20240503 documentation @@ -224,7 +224,7 @@
- 2.2.0.dev20240424 ▼ + 2.2.0.dev20240503 ▼
diff --git a/main/build.windows.html b/main/build.windows.html index b8100a1f6e3..70a4f714aed 100644 --- a/main/build.windows.html +++ b/main/build.windows.html @@ -10,7 +10,7 @@ - Building on Windows — Torchaudio 2.2.0.dev20240424 documentation + Building on Windows — Torchaudio 2.2.0.dev20240503 documentation @@ -224,7 +224,7 @@
- 2.2.0.dev20240424 ▼ + 2.2.0.dev20240503 ▼
diff --git a/main/compliance.kaldi.html b/main/compliance.kaldi.html index 37f85426b08..c2deb0d27b7 100644 --- a/main/compliance.kaldi.html +++ b/main/compliance.kaldi.html @@ -10,7 +10,7 @@ - torchaudio.compliance.kaldi — Torchaudio 2.2.0.dev20240424 documentation + torchaudio.compliance.kaldi — Torchaudio 2.2.0.dev20240503 documentation @@ -224,7 +224,7 @@
- 2.2.0.dev20240424 ▼ + 2.2.0.dev20240503 ▼
diff --git a/main/datasets.html b/main/datasets.html index ca3b903e4ca..aad2b9dca69 100644 --- a/main/datasets.html +++ b/main/datasets.html @@ -10,7 +10,7 @@ - torchaudio.datasets — Torchaudio 2.2.0.dev20240424 documentation + torchaudio.datasets — Torchaudio 2.2.0.dev20240503 documentation @@ -224,7 +224,7 @@
- 2.2.0.dev20240424 ▼ + 2.2.0.dev20240503 ▼
@@ -436,10 +436,10 @@

torchaudio.datasetsĀ¶

-

All datasets are subclasses of torch.utils.data.Dataset +

All datasets are subclasses of torch.utils.data.Dataset and have __getitem__ and __len__ methods implemented.

-

Hence, they can all be passed to a torch.utils.data.DataLoader -which can load multiple samples parallelly using torch.multiprocessing workers. +

Hence, they can all be passed to a torch.utils.data.DataLoader +which can load multiple samples parallelly using torch.multiprocessing workers. For example:

yesno_data = torchaudio.datasets.YESNO('.', download=True)
 data_loader = torch.utils.data.DataLoader(
diff --git a/main/feature_classifications.html b/main/feature_classifications.html
index c88bf5205bf..e62c08edfa1 100644
--- a/main/feature_classifications.html
+++ b/main/feature_classifications.html
@@ -10,7 +10,7 @@
 
   
   
-  Feature Classifications — Torchaudio 2.2.0.dev20240424 documentation
+  Feature Classifications — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     

     
 
diff --git a/main/functional.html b/main/functional.html
index 7daca6597f8..02bbb35d9d4 100644
--- a/main/functional.html
+++ b/main/functional.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     

     
 
diff --git a/main/generated/torchaudio.compliance.kaldi.fbank.html b/main/generated/torchaudio.compliance.kaldi.fbank.html
index e856e830345..a724e643765 100644
--- a/main/generated/torchaudio.compliance.kaldi.fbank.html
+++ b/main/generated/torchaudio.compliance.kaldi.fbank.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.compliance.kaldi.fbank — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.compliance.kaldi.fbank — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     

     
 
@@ -440,7 +440,7 @@
 
torchaudio.compliance.kaldi.fbankĀ¶

 

 

-torchaudio.compliance.kaldi.fbank(waveform: Tensor, blackman_coeff: float = 0.42, channel: int = -1, dither: float = 0.0, energy_floor: float = 1.0, frame_length: float = 25.0, frame_shift: float = 10.0, high_freq: float = 0.0, htk_compat: bool = False, low_freq: float = 20.0, min_duration: float = 0.0, num_mel_bins: int = 23, preemphasis_coefficient: float = 0.97, raw_energy: bool = True, remove_dc_offset: bool = True, round_to_power_of_two: bool = True, sample_frequency: float = 16000.0, snip_edges: bool = True, subtract_mean: bool = False, use_energy: bool = False, use_log_fbank: bool = True, use_power: bool = True, vtln_high: float = -500.0, vtln_low: float = 100.0, vtln_warp: float = 1.0, window_type: str = 'povey') → Tensor[source]Ā¶

+torchaudio.compliance.kaldi.fbank(waveform: Tensor, blackman_coeff: float = 0.42, channel: int = -1, dither: float = 0.0, energy_floor: float = 1.0, frame_length: float = 25.0, frame_shift: float = 10.0, high_freq: float = 0.0, htk_compat: bool = False, low_freq: float = 20.0, min_duration: float = 0.0, num_mel_bins: int = 23, preemphasis_coefficient: float = 0.97, raw_energy: bool = True, remove_dc_offset: bool = True, round_to_power_of_two: bool = True, sample_frequency: float = 16000.0, snip_edges: bool = True, subtract_mean: bool = False, use_energy: bool = False, use_log_fbank: bool = True, use_power: bool = True, vtln_high: float = -500.0, vtln_low: float = 100.0, vtln_warp: float = 1.0, window_type: str = 'povey') → Tensor[source]Ā¶
 
Create a fbank from a raw audio signal. This matches the input/output of Kaldiā€™s
 compute-fbank-feats.

 

diff --git a/main/generated/torchaudio.compliance.kaldi.mfcc.html b/main/generated/torchaudio.compliance.kaldi.mfcc.html
index c0a838b820c..49626d4aa00 100644
--- a/main/generated/torchaudio.compliance.kaldi.mfcc.html
+++ b/main/generated/torchaudio.compliance.kaldi.mfcc.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.compliance.kaldi.mfcc — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.compliance.kaldi.mfcc — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     

     
 
@@ -440,7 +440,7 @@
 
torchaudio.compliance.kaldi.mfccĀ¶

 

 

-torchaudio.compliance.kaldi.mfcc(waveform: Tensor, blackman_coeff: float = 0.42, cepstral_lifter: float = 22.0, channel: int = -1, dither: float = 0.0, energy_floor: float = 1.0, frame_length: float = 25.0, frame_shift: float = 10.0, high_freq: float = 0.0, htk_compat: bool = False, low_freq: float = 20.0, num_ceps: int = 13, min_duration: float = 0.0, num_mel_bins: int = 23, preemphasis_coefficient: float = 0.97, raw_energy: bool = True, remove_dc_offset: bool = True, round_to_power_of_two: bool = True, sample_frequency: float = 16000.0, snip_edges: bool = True, subtract_mean: bool = False, use_energy: bool = False, vtln_high: float = -500.0, vtln_low: float = 100.0, vtln_warp: float = 1.0, window_type: str = 'povey') → Tensor[source]Ā¶

+torchaudio.compliance.kaldi.mfcc(waveform: Tensor, blackman_coeff: float = 0.42, cepstral_lifter: float = 22.0, channel: int = -1, dither: float = 0.0, energy_floor: float = 1.0, frame_length: float = 25.0, frame_shift: float = 10.0, high_freq: float = 0.0, htk_compat: bool = False, low_freq: float = 20.0, num_ceps: int = 13, min_duration: float = 0.0, num_mel_bins: int = 23, preemphasis_coefficient: float = 0.97, raw_energy: bool = True, remove_dc_offset: bool = True, round_to_power_of_two: bool = True, sample_frequency: float = 16000.0, snip_edges: bool = True, subtract_mean: bool = False, use_energy: bool = False, vtln_high: float = -500.0, vtln_low: float = 100.0, vtln_warp: float = 1.0, window_type: str = 'povey') → Tensor[source]Ā¶
 
Create a mfcc from a raw audio signal. This matches the input/output of Kaldiā€™s
 compute-mfcc-feats.

 

diff --git a/main/generated/torchaudio.compliance.kaldi.spectrogram.html b/main/generated/torchaudio.compliance.kaldi.spectrogram.html
index 23a0f803021..0fd3e6d6be4 100644
--- a/main/generated/torchaudio.compliance.kaldi.spectrogram.html
+++ b/main/generated/torchaudio.compliance.kaldi.spectrogram.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.compliance.kaldi.spectrogram — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.compliance.kaldi.spectrogram — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     

     
 
@@ -440,7 +440,7 @@
 
torchaudio.compliance.kaldi.spectrogramĀ¶

 

 

-torchaudio.compliance.kaldi.spectrogram(waveform: Tensor, blackman_coeff: float = 0.42, channel: int = -1, dither: float = 0.0, energy_floor: float = 1.0, frame_length: float = 25.0, frame_shift: float = 10.0, min_duration: float = 0.0, preemphasis_coefficient: float = 0.97, raw_energy: bool = True, remove_dc_offset: bool = True, round_to_power_of_two: bool = True, sample_frequency: float = 16000.0, snip_edges: bool = True, subtract_mean: bool = False, window_type: str = 'povey') → Tensor[source]Ā¶

+torchaudio.compliance.kaldi.spectrogram(waveform: Tensor, blackman_coeff: float = 0.42, channel: int = -1, dither: float = 0.0, energy_floor: float = 1.0, frame_length: float = 25.0, frame_shift: float = 10.0, min_duration: float = 0.0, preemphasis_coefficient: float = 0.97, raw_energy: bool = True, remove_dc_offset: bool = True, round_to_power_of_two: bool = True, sample_frequency: float = 16000.0, snip_edges: bool = True, subtract_mean: bool = False, window_type: str = 'povey') → Tensor[source]Ā¶
 
Create a spectrogram from a raw audio signal. This matches the input/output of Kaldiā€™s
 compute-spectrogram-feats.

 

diff --git a/main/generated/torchaudio.datasets.CMUARCTIC.html b/main/generated/torchaudio.datasets.CMUARCTIC.html
index 7e034e7820a..7cebb4676db 100644
--- a/main/generated/torchaudio.datasets.CMUARCTIC.html
+++ b/main/generated/torchaudio.datasets.CMUARCTIC.html
@@ -10,7 +10,7 @@
 
   
   
-  CMUARCTIC — Torchaudio 2.2.0.dev20240424 documentation
+  CMUARCTIC — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     

     
 
@@ -463,7 +463,7 @@ 
__getitem__
 

 

-CMUARCTIC.__getitem__(n: int) → Tuple[Tensor, int, str, str][source]Ā¶

+CMUARCTIC.__getitem__(n: int) → Tuple[Tensor, int, str, str][source]Ā¶
 
Load the n-th sample from the dataset.

 

 
Parameters:

diff --git a/main/generated/torchaudio.datasets.CMUDict.html b/main/generated/torchaudio.datasets.CMUDict.html
index 620895e23c4..51dbba0e458 100644
--- a/main/generated/torchaudio.datasets.CMUDict.html
+++ b/main/generated/torchaudio.datasets.CMUDict.html
@@ -10,7 +10,7 @@
 
   
   
-  CMUDict — Torchaudio 2.2.0.dev20240424 documentation
+  CMUDict — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     

     
 
diff --git a/main/generated/torchaudio.datasets.COMMONVOICE.html b/main/generated/torchaudio.datasets.COMMONVOICE.html
index 5d80cbddd7c..4f5bb8113b0 100644
--- a/main/generated/torchaudio.datasets.COMMONVOICE.html
+++ b/main/generated/torchaudio.datasets.COMMONVOICE.html
@@ -10,7 +10,7 @@
 
   
   
-  COMMONVOICE — Torchaudio 2.2.0.dev20240424 documentation
+  COMMONVOICE — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     

     
 
@@ -460,7 +460,7 @@ 
__getitem__
 

 

-COMMONVOICE.__getitem__(n: int) → Tuple[Tensor, int, Dict[str, str]][source]Ā¶

+COMMONVOICE.__getitem__(n: int) → Tuple[Tensor, int, Dict[str, str]][source]Ā¶
 
Load the n-th sample from the dataset.

 

 
Parameters:

diff --git a/main/generated/torchaudio.datasets.DR_VCTK.html b/main/generated/torchaudio.datasets.DR_VCTK.html
index d5c894f0037..70b55c21904 100644
--- a/main/generated/torchaudio.datasets.DR_VCTK.html
+++ b/main/generated/torchaudio.datasets.DR_VCTK.html
@@ -10,7 +10,7 @@
 
   
   
-  DR_VCTK — Torchaudio 2.2.0.dev20240424 documentation
+  DR_VCTK — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     

     
 
@@ -460,7 +460,7 @@ 
__getitem__
 

 

-DR_VCTK.__getitem__(n: int) → Tuple[Tensor, int, Tensor, int, str, str, str, int][source]Ā¶

+DR_VCTK.__getitem__(n: int) → Tuple[Tensor, int, Tensor, int, str, str, str, int][source]Ā¶
 
Load the n-th sample from the dataset.

 

 
Parameters:

diff --git a/main/generated/torchaudio.datasets.FluentSpeechCommands.html b/main/generated/torchaudio.datasets.FluentSpeechCommands.html
index e93cd1ac6f7..2f842688e12 100644
--- a/main/generated/torchaudio.datasets.FluentSpeechCommands.html
+++ b/main/generated/torchaudio.datasets.FluentSpeechCommands.html
@@ -10,7 +10,7 @@
 
   
   
-  FluentSpeechCommands — Torchaudio 2.2.0.dev20240424 documentation
+  FluentSpeechCommands — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     

     
 
@@ -459,7 +459,7 @@ 
__getitem__
 

 

-FluentSpeechCommands.__getitem__(n: int) → Tuple[Tensor, int, str, int, str, str, str, str][source]Ā¶

+FluentSpeechCommands.__getitem__(n: int) → Tuple[Tensor, int, str, int, str, str, str, str][source]Ā¶
 
Load the n-th sample from the dataset.

 

 
Parameters:

diff --git a/main/generated/torchaudio.datasets.GTZAN.html b/main/generated/torchaudio.datasets.GTZAN.html
index 9946469d088..393eceddd77 100644
--- a/main/generated/torchaudio.datasets.GTZAN.html
+++ b/main/generated/torchaudio.datasets.GTZAN.html
@@ -10,7 +10,7 @@
 
   
   
-  GTZAN — Torchaudio 2.2.0.dev20240424 documentation
+  GTZAN — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     

     
 
@@ -473,7 +473,7 @@ 
__getitem__
 

 

-GTZAN.__getitem__(n: int) → Tuple[Tensor, int, str][source]Ā¶

+GTZAN.__getitem__(n: int) → Tuple[Tensor, int, str][source]Ā¶
 
Load the n-th sample from the dataset.

 

 
Parameters:

diff --git a/main/generated/torchaudio.datasets.IEMOCAP.html b/main/generated/torchaudio.datasets.IEMOCAP.html
index e82d45581d7..ec63dc35b54 100644
--- a/main/generated/torchaudio.datasets.IEMOCAP.html
+++ b/main/generated/torchaudio.datasets.IEMOCAP.html
@@ -10,7 +10,7 @@
 
   
   
-  IEMOCAP — Torchaudio 2.2.0.dev20240424 documentation
+  IEMOCAP — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     

     
 
@@ -460,7 +460,7 @@ 
__getitem__
 

 

-IEMOCAP.__getitem__(n: int) → Tuple[Tensor, int, str, str, str][source]Ā¶

+IEMOCAP.__getitem__(n: int) → Tuple[Tensor, int, str, str, str][source]Ā¶
 
Load the n-th sample from the dataset.

 

 
Parameters:

diff --git a/main/generated/torchaudio.datasets.LIBRISPEECH.html b/main/generated/torchaudio.datasets.LIBRISPEECH.html
index f985e83f2e2..208ca1b510b 100644
--- a/main/generated/torchaudio.datasets.LIBRISPEECH.html
+++ b/main/generated/torchaudio.datasets.LIBRISPEECH.html
@@ -10,7 +10,7 @@
 
   
   
-  LIBRISPEECH — Torchaudio 2.2.0.dev20240424 documentation
+  LIBRISPEECH — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     

     
 
@@ -463,7 +463,7 @@ 
__getitem__
 

 

-LIBRISPEECH.__getitem__(n: int) → Tuple[Tensor, int, str, int, int, int][source]Ā¶

+LIBRISPEECH.__getitem__(n: int) → Tuple[Tensor, int, str, int, int, int][source]Ā¶
 
Load the n-th sample from the dataset.

 

 
Parameters:

diff --git a/main/generated/torchaudio.datasets.LIBRITTS.html b/main/generated/torchaudio.datasets.LIBRITTS.html
index b3d00ecc209..d63b403e141 100644
--- a/main/generated/torchaudio.datasets.LIBRITTS.html
+++ b/main/generated/torchaudio.datasets.LIBRITTS.html
@@ -10,7 +10,7 @@
 
   
   
-  LIBRITTS — Torchaudio 2.2.0.dev20240424 documentation
+  LIBRITTS — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     

     
 
@@ -463,7 +463,7 @@ 
__getitem__
 

 

-LIBRITTS.__getitem__(n: int) → Tuple[Tensor, int, str, str, int, int, str][source]Ā¶

+LIBRITTS.__getitem__(n: int) → Tuple[Tensor, int, str, str, int, int, str][source]Ā¶
 
Load the n-th sample from the dataset.

 

 
Parameters:

diff --git a/main/generated/torchaudio.datasets.LJSPEECH.html b/main/generated/torchaudio.datasets.LJSPEECH.html
index ef2f07cb83e..d1c2239e282 100644
--- a/main/generated/torchaudio.datasets.LJSPEECH.html
+++ b/main/generated/torchaudio.datasets.LJSPEECH.html
@@ -10,7 +10,7 @@
 
   
   
-  LJSPEECH — Torchaudio 2.2.0.dev20240424 documentation
+  LJSPEECH — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     

     
 
@@ -460,7 +460,7 @@ 
__getitem__
 

 

-LJSPEECH.__getitem__(n: int) → Tuple[Tensor, int, str, str][source]Ā¶

+LJSPEECH.__getitem__(n: int) → Tuple[Tensor, int, str, str][source]Ā¶
 
Load the n-th sample from the dataset.

 

 
Parameters:

diff --git a/main/generated/torchaudio.datasets.LibriLightLimited.html b/main/generated/torchaudio.datasets.LibriLightLimited.html
index 4ccdcfb4929..28b95e08694 100644
--- a/main/generated/torchaudio.datasets.LibriLightLimited.html
+++ b/main/generated/torchaudio.datasets.LibriLightLimited.html
@@ -10,7 +10,7 @@
 
   
   
-  LibriLightLimited — Torchaudio 2.2.0.dev20240424 documentation
+  LibriLightLimited — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     

     
 
@@ -460,7 +460,7 @@ 
__getitem__
 

 

-LibriLightLimited.__getitem__(n: int) → Tuple[Tensor, int, str, int, int, int][source]Ā¶

+LibriLightLimited.__getitem__(n: int) → Tuple[Tensor, int, str, int, int, int][source]Ā¶
 
Load the n-th sample from the dataset.

 

 
Parameters:

diff --git a/main/generated/torchaudio.datasets.LibriMix.html b/main/generated/torchaudio.datasets.LibriMix.html
index 20b90838373..cd757964ced 100644
--- a/main/generated/torchaudio.datasets.LibriMix.html
+++ b/main/generated/torchaudio.datasets.LibriMix.html
@@ -10,7 +10,7 @@
 
   
   
-  LibriMix — Torchaudio 2.2.0.dev20240424 documentation
+  LibriMix — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     

     
 
@@ -477,7 +477,7 @@ 
__getitem__
 

 

-LibriMix.__getitem__(key: int) → Tuple[int, Tensor, List[Tensor]][source]Ā¶

+LibriMix.__getitem__(key: int) → Tuple[int, Tensor, List[Tensor]][source]Ā¶
 
Load the n-th sample from the dataset.

 

 
Parameters:

diff --git a/main/generated/torchaudio.datasets.MUSDB_HQ.html b/main/generated/torchaudio.datasets.MUSDB_HQ.html
index 6403af6e1b2..b64604cac18 100644
--- a/main/generated/torchaudio.datasets.MUSDB_HQ.html
+++ b/main/generated/torchaudio.datasets.MUSDB_HQ.html
@@ -10,7 +10,7 @@
 
   
   
-  MUSDB_HQ — Torchaudio 2.2.0.dev20240424 documentation
+  MUSDB_HQ — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     

     
 
@@ -466,7 +466,7 @@ 
__getitem__
 

 

-MUSDB_HQ.__getitem__(n: int) → Tuple[Tensor, int, int, str][source]Ā¶

+MUSDB_HQ.__getitem__(n: int) → Tuple[Tensor, int, int, str][source]Ā¶
 
Load the n-th sample from the dataset.

 

 
Parameters:

diff --git a/main/generated/torchaudio.datasets.QUESST14.html b/main/generated/torchaudio.datasets.QUESST14.html
index fa76d142104..7e7de501772 100644
--- a/main/generated/torchaudio.datasets.QUESST14.html
+++ b/main/generated/torchaudio.datasets.QUESST14.html
@@ -10,7 +10,7 @@
 
   
   
-  QUESST14 — Torchaudio 2.2.0.dev20240424 documentation
+  QUESST14 — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     

     
 
@@ -462,7 +462,7 @@ 
__getitem__
 

 

-QUESST14.__getitem__(n: int) → Tuple[Tensor, int, str][source]Ā¶

+QUESST14.__getitem__(n: int) → Tuple[Tensor, int, str][source]Ā¶
 
Load the n-th sample from the dataset.

 

 
Parameters:

diff --git a/main/generated/torchaudio.datasets.SPEECHCOMMANDS.html b/main/generated/torchaudio.datasets.SPEECHCOMMANDS.html
index db6dc3cf0f0..b533d04a611 100644
--- a/main/generated/torchaudio.datasets.SPEECHCOMMANDS.html
+++ b/main/generated/torchaudio.datasets.SPEECHCOMMANDS.html
@@ -10,7 +10,7 @@
 
   
   
-  SPEECHCOMMANDS — Torchaudio 2.2.0.dev20240424 documentation
+  SPEECHCOMMANDS — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     

     
 
@@ -468,7 +468,7 @@ 
__getitem__
 

 

-SPEECHCOMMANDS.__getitem__(n: int) → Tuple[Tensor, int, str, str, int][source]Ā¶

+SPEECHCOMMANDS.__getitem__(n: int) → Tuple[Tensor, int, str, str, int][source]Ā¶
 
Load the n-th sample from the dataset.

 

 
Parameters:

diff --git a/main/generated/torchaudio.datasets.Snips.html b/main/generated/torchaudio.datasets.Snips.html
index 9451dd7fc40..53846b31e0d 100644
--- a/main/generated/torchaudio.datasets.Snips.html
+++ b/main/generated/torchaudio.datasets.Snips.html
@@ -10,7 +10,7 @@
 
   
   
-  Snips — Torchaudio 2.2.0.dev20240424 documentation
+  Snips — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     

     
 
@@ -461,7 +461,7 @@ 
__getitem__
 

 

-Snips.__getitem__(n: int) → Tuple[Tensor, int, str, str, str][source]Ā¶

+Snips.__getitem__(n: int) → Tuple[Tensor, int, str, str, str][source]Ā¶
 
Load the n-th sample from the dataset.

 

 
Parameters:

diff --git a/main/generated/torchaudio.datasets.TEDLIUM.html b/main/generated/torchaudio.datasets.TEDLIUM.html
index 89da6aa6aa5..cb6f4f820e9 100644
--- a/main/generated/torchaudio.datasets.TEDLIUM.html
+++ b/main/generated/torchaudio.datasets.TEDLIUM.html
@@ -10,7 +10,7 @@
 
   
   
-  TEDLIUM — Torchaudio 2.2.0.dev20240424 documentation
+  TEDLIUM — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     

     
 
@@ -486,7 +486,7 @@ 
__getitem__
 

 

-TEDLIUM.__getitem__(n: int) → Tuple[Tensor, int, str, int, int, int][source]Ā¶

+TEDLIUM.__getitem__(n: int) → Tuple[Tensor, int, str, int, int, int][source]Ā¶
 
Load the n-th sample from the dataset.

 

 
Parameters:

diff --git a/main/generated/torchaudio.datasets.VCTK_092.html b/main/generated/torchaudio.datasets.VCTK_092.html
index 8422dc38b97..3b1d04a653d 100644
--- a/main/generated/torchaudio.datasets.VCTK_092.html
+++ b/main/generated/torchaudio.datasets.VCTK_092.html
@@ -10,7 +10,7 @@
 
   
   
-  VCTK_092 — Torchaudio 2.2.0.dev20240424 documentation
+  VCTK_092 — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     

     
 
@@ -470,7 +470,7 @@ 
__getitem__
 

 

-VCTK_092.__getitem__(n: int) → Tuple[Tensor, int, str, str, str][source]Ā¶

+VCTK_092.__getitem__(n: int) → Tuple[Tensor, int, str, str, str][source]Ā¶
 
Load the n-th sample from the dataset.

 

 
Parameters:

diff --git a/main/generated/torchaudio.datasets.VoxCeleb1Identification.html b/main/generated/torchaudio.datasets.VoxCeleb1Identification.html
index 43426c64a35..c9eae0e9ed0 100644
--- a/main/generated/torchaudio.datasets.VoxCeleb1Identification.html
+++ b/main/generated/torchaudio.datasets.VoxCeleb1Identification.html
@@ -10,7 +10,7 @@
 
   
   
-  VoxCeleb1Identification — Torchaudio 2.2.0.dev20240424 documentation
+  VoxCeleb1Identification — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     

     
 
@@ -474,7 +474,7 @@ 
__getitem__
 

 

-VoxCeleb1Identification.__getitem__(n: int) → Tuple[Tensor, int, int, str][source]Ā¶

+VoxCeleb1Identification.__getitem__(n: int) → Tuple[Tensor, int, int, str][source]Ā¶
 
Load the n-th sample from the dataset.

 

 
Parameters:

diff --git a/main/generated/torchaudio.datasets.VoxCeleb1Verification.html b/main/generated/torchaudio.datasets.VoxCeleb1Verification.html
index f506129c2b9..a76e4247f38 100644
--- a/main/generated/torchaudio.datasets.VoxCeleb1Verification.html
+++ b/main/generated/torchaudio.datasets.VoxCeleb1Verification.html
@@ -10,7 +10,7 @@
 
   
   
-  VoxCeleb1Verification — Torchaudio 2.2.0.dev20240424 documentation
+  VoxCeleb1Verification — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     

     
 
@@ -475,7 +475,7 @@ 
__getitem__
 

 

-VoxCeleb1Verification.__getitem__(n: int) → Tuple[Tensor, Tensor, int, int, str, str][source]Ā¶

+VoxCeleb1Verification.__getitem__(n: int) → Tuple[Tensor, Tensor, int, int, str, str][source]Ā¶
 
Load the n-th sample from the dataset.

 

 
Parameters:

diff --git a/main/generated/torchaudio.datasets.YESNO.html b/main/generated/torchaudio.datasets.YESNO.html
index 5e3a68b9637..6b2afa485ba 100644
--- a/main/generated/torchaudio.datasets.YESNO.html
+++ b/main/generated/torchaudio.datasets.YESNO.html
@@ -10,7 +10,7 @@
 
   
   
-  YESNO — Torchaudio 2.2.0.dev20240424 documentation
+  YESNO — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     

     
 
@@ -466,7 +466,7 @@ 
__getitem__
 

 

-YESNO.__getitem__(n: int) → Tuple[Tensor, int, List[int]][source]Ā¶

+YESNO.__getitem__(n: int) → Tuple[Tensor, int, List[int]][source]Ā¶
 
Load the n-th sample from the dataset.

 

 
Parameters:

diff --git a/main/generated/torchaudio.functional.DB_to_amplitude.html b/main/generated/torchaudio.functional.DB_to_amplitude.html
index 45f86332f27..a1fdb781147 100644
--- a/main/generated/torchaudio.functional.DB_to_amplitude.html
+++ b/main/generated/torchaudio.functional.DB_to_amplitude.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.DB_to_amplitude — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.DB_to_amplitude — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     

     
 
@@ -440,7 +440,7 @@
 
torchaudio.functional.DB_to_amplitudeĀ¶

 

 

-torchaudio.functional.DB_to_amplitude(x: Tensor, ref: float, power: float) → Tensor[source]Ā¶

+torchaudio.functional.DB_to_amplitude(x: Tensor, ref: float, power: float) → Tensor[source]Ā¶
 
Turn a tensor from the decibel scale to the power/amplitude scale.

 This feature supports the following devices: CPU, CUDA
 This API supports the following properties: TorchScript
diff --git a/main/generated/torchaudio.functional.TokenSpan.html b/main/generated/torchaudio.functional.TokenSpan.html
index ecd9e10e9ac..8c20acabf04 100644
--- a/main/generated/torchaudio.functional.TokenSpan.html
+++ b/main/generated/torchaudio.functional.TokenSpan.html
@@ -10,7 +10,7 @@
 
   
   
-  TokenSpan — Torchaudio 2.2.0.dev20240424 documentation
+  TokenSpan — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     

     
 
diff --git a/main/generated/torchaudio.functional.add_noise.html b/main/generated/torchaudio.functional.add_noise.html
index c6d3c2a8ff5..486d6d3628d 100644
--- a/main/generated/torchaudio.functional.add_noise.html
+++ b/main/generated/torchaudio.functional.add_noise.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.add_noise — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.add_noise — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     

     
 
@@ -440,7 +440,7 @@
 
torchaudio.functional.add_noiseĀ¶

 

 

-torchaudio.functional.add_noise(waveform: Tensor, noise: Tensor, snr: Tensor, lengths: Optional[Tensor] = None) → Tensor[source]Ā¶

+torchaudio.functional.add_noise(waveform: Tensor, noise: Tensor, snr: Tensor, lengths: Optional[Tensor] = None) → Tensor[source]Ā¶
 
Scales and adds noise to waveform per signal-to-noise ratio.

 
Specifically, for each pair of waveform vector \(x \in \mathbb{R}^L\) and noise vector
 \(n \in \mathbb{R}^L\), the function computes output \(y\) as

@@ -461,10 +461,10 @@ 
torchaudio.functional.add_noise
 
Parameters:

 
    
-
  • waveform (torch.Tensor) ā€“ Input waveform, with shape (ā€¦, L).
    • 
-
  • noise (torch.Tensor) ā€“ Noise, with shape (ā€¦, L) (same shape as waveform).
    • 
-
  • snr (torch.Tensor) ā€“ Signal-to-noise ratios in dB, with shape (ā€¦,).
    • 
-
  • lengths (torch.Tensor or None, optional) ā€“ Valid lengths of signals in waveform and noise, with shape
+
  • waveform (torch.Tensor) ā€“ Input waveform, with shape (ā€¦, L).
    • 
+
  • noise (torch.Tensor) ā€“ Noise, with shape (ā€¦, L) (same shape as waveform).
    • 
+
  • snr (torch.Tensor) ā€“ Signal-to-noise ratios in dB, with shape (ā€¦,).
    • 
+
  • lengths (torch.Tensor or None, optional) ā€“ Valid lengths of signals in waveform and noise, with shape
 (ā€¦,) (leading dimensions must match those of waveform). If None, all elements in waveform
 and noise are treated as valid. (Default: None)
    • 
 

@@ -474,7 +474,7 @@ 
torchaudio.functional.add_noisewaveform).

 

 
Return type:

-
torch.Tensor

+
torch.Tensor

 

 

 

diff --git a/main/generated/torchaudio.functional.allpass_biquad.html b/main/generated/torchaudio.functional.allpass_biquad.html
index e66a3de2034..9d9c7fc003b 100644
--- a/main/generated/torchaudio.functional.allpass_biquad.html
+++ b/main/generated/torchaudio.functional.allpass_biquad.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.allpass_biquad — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.allpass_biquad — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     

     
 
@@ -440,17 +440,17 @@
 
torchaudio.functional.allpass_biquadĀ¶

 

 

-torchaudio.functional.allpass_biquad(waveform: Tensor, sample_rate: int, central_freq: float, Q: float = 0.707) → Tensor[source]Ā¶

+torchaudio.functional.allpass_biquad(waveform: Tensor, sample_rate: int, central_freq: float, Q: float = 0.707) → Tensor[source]Ā¶
 
Design two-pole all-pass filter.  Similar to SoX implementation.

 This feature supports the following devices: CPU, CUDA
 This API supports the following properties: Autograd, TorchScript
 

 
Parameters:

 

 

 
Returns:

diff --git a/main/generated/torchaudio.functional.amplitude_to_DB.html b/main/generated/torchaudio.functional.amplitude_to_DB.html
index 75967cad77f..97f308ee603 100644
--- a/main/generated/torchaudio.functional.amplitude_to_DB.html
+++ b/main/generated/torchaudio.functional.amplitude_to_DB.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.amplitude_to_DB — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.amplitude_to_DB — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     

     
 
@@ -440,7 +440,7 @@
 
torchaudio.functional.amplitude_to_DBĀ¶

 

 

-torchaudio.functional.amplitude_to_DB(x: Tensor, multiplier: float, amin: float, db_multiplier: float, top_db: Optional[float] = None) → Tensor[source]Ā¶

+torchaudio.functional.amplitude_to_DB(x: Tensor, multiplier: float, amin: float, db_multiplier: float, top_db: Optional[float] = None) → Tensor[source]Ā¶
 
Turn a spectrogram from the power/amplitude scale to the decibel scale.

 This feature supports the following devices: CPU, CUDA
 This API supports the following properties: Autograd, TorchScript
diff --git a/main/generated/torchaudio.functional.apply_beamforming.html b/main/generated/torchaudio.functional.apply_beamforming.html
index d01d264419a..5c52a92f640 100644
--- a/main/generated/torchaudio.functional.apply_beamforming.html
+++ b/main/generated/torchaudio.functional.apply_beamforming.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.apply_beamforming — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.apply_beamforming — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     

     
 
@@ -440,7 +440,7 @@
 
torchaudio.functional.apply_beamformingĀ¶

 

 

-torchaudio.functional.apply_beamforming(beamform_weights: Tensor, specgram: Tensor) → Tensor[source]Ā¶

+torchaudio.functional.apply_beamforming(beamform_weights: Tensor, specgram: Tensor) → Tensor[source]Ā¶
 
Apply the beamforming weight to the multi-channel noisy spectrum to obtain the single-channel enhanced spectrum.

 This feature supports the following devices: CPU, CUDA
 This API supports the following properties: Autograd, TorchScript
diff --git a/main/generated/torchaudio.functional.apply_codec.html b/main/generated/torchaudio.functional.apply_codec.html
index ee93383d997..0141a8d587f 100644
--- a/main/generated/torchaudio.functional.apply_codec.html
+++ b/main/generated/torchaudio.functional.apply_codec.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.apply_codec — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.apply_codec — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     

     
 
@@ -440,7 +440,7 @@
 
torchaudio.functional.apply_codecĀ¶

 

 

-torchaudio.functional.apply_codec(waveform: Tensor, sample_rate: int, format: str, channels_first: bool = True, compression: Optional[float] = None, encoding: Optional[str] = None, bits_per_sample: Optional[int] = None) → Tensor[source]Ā¶

+torchaudio.functional.apply_codec(waveform: Tensor, sample_rate: int, format: str, channels_first: bool = True, compression: Optional[float] = None, encoding: Optional[str] = None, bits_per_sample: Optional[int] = None) → Tensor[source]Ā¶
 
DEPRECATED:
 Apply codecs as a form of augmentation.

 This feature supports the following devices: CPU
diff --git a/main/generated/torchaudio.functional.band_biquad.html b/main/generated/torchaudio.functional.band_biquad.html
index 29489b6fd1e..0dcf93016b8 100644
--- a/main/generated/torchaudio.functional.band_biquad.html
+++ b/main/generated/torchaudio.functional.band_biquad.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.band_biquad — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.band_biquad — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     

     
 
@@ -440,7 +440,7 @@
 
torchaudio.functional.band_biquadĀ¶

 

 

-torchaudio.functional.band_biquad(waveform: Tensor, sample_rate: int, central_freq: float, Q: float = 0.707, noise: bool = False) → Tensor[source]Ā¶

+torchaudio.functional.band_biquad(waveform: Tensor, sample_rate: int, central_freq: float, Q: float = 0.707, noise: bool = False) → Tensor[source]Ā¶
 
Design two-pole band filter.  Similar to SoX implementation.

 This feature supports the following devices: CPU, CUDA
 This API supports the following properties: Autograd, TorchScript
@@ -449,8 +449,8 @@ 
torchaudio.functional.band_biquad
    
 
  • waveform (Tensor) ā€“ audio waveform of dimension of (ā€¦, time)
    • 
 
  • sample_rate (int) ā€“ sampling rate of the waveform, e.g. 44100 (Hz)
    • 
-
  • central_freq (float or torch.Tensor) ā€“ central frequency (in Hz)
    • 
-
  • Q (float or torch.Tensor, optional) ā€“ https://en.wikipedia.org/wiki/Q_factor (Default: 0.707).
    • 
+
  • central_freq (float or torch.Tensor) ā€“ central frequency (in Hz)
    • 
+
  • Q (float or torch.Tensor, optional) ā€“ https://en.wikipedia.org/wiki/Q_factor (Default: 0.707).
    • 
 
  • noise (bool, optional) ā€“ If True, uses the alternate mode for un-pitched audio (e.g. percussion).
 If False, uses mode oriented to pitched audio, i.e. voice, singing,
 or instrumental music (Default: False).
    • 
diff --git a/main/generated/torchaudio.functional.bandpass_biquad.html b/main/generated/torchaudio.functional.bandpass_biquad.html
index f990e80908a..74019960d11 100644
--- a/main/generated/torchaudio.functional.bandpass_biquad.html
+++ b/main/generated/torchaudio.functional.bandpass_biquad.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.bandpass_biquad — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.bandpass_biquad — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
@@ -440,7 +440,7 @@
 
    torchaudio.functional.bandpass_biquadĀ¶
    
 
    
 
    
-torchaudio.functional.bandpass_biquad(waveform: Tensor, sample_rate: int, central_freq: float, Q: float = 0.707, const_skirt_gain: bool = False) → Tensor[source]Ā¶
    
+torchaudio.functional.bandpass_biquad(waveform: Tensor, sample_rate: int, central_freq: float, Q: float = 0.707, const_skirt_gain: bool = False) → Tensor[source]Ā¶
 
    Design two-pole band-pass filter.  Similar to SoX implementation.
    
 This feature supports the following devices: CPU, CUDA
 This API supports the following properties: Autograd, TorchScript
@@ -449,8 +449,8 @@ 
    torchaudio.functional.bandpass_biquad
diff --git a/main/generated/torchaudio.functional.bandreject_biquad.html b/main/generated/torchaudio.functional.bandreject_biquad.html
index 534c03a29f3..d9f010a006e 100644
--- a/main/generated/torchaudio.functional.bandreject_biquad.html
+++ b/main/generated/torchaudio.functional.bandreject_biquad.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.bandreject_biquad — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.bandreject_biquad — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
@@ -440,7 +440,7 @@
 
    torchaudio.functional.bandreject_biquadĀ¶
    
 
    
 
    
-torchaudio.functional.bandreject_biquad(waveform: Tensor, sample_rate: int, central_freq: float, Q: float = 0.707) → Tensor[source]Ā¶
    
+torchaudio.functional.bandreject_biquad(waveform: Tensor, sample_rate: int, central_freq: float, Q: float = 0.707) → Tensor[source]Ā¶
 
    Design two-pole band-reject filter.  Similar to SoX implementation.
    
 This feature supports the following devices: CPU, CUDA
 This API supports the following properties: Autograd, TorchScript
@@ -449,8 +449,8 @@ 
    torchaudio.functional.bandreject_biquad
 
    
 
    Returns:
    
diff --git a/main/generated/torchaudio.functional.bass_biquad.html b/main/generated/torchaudio.functional.bass_biquad.html
index 9ebb742f04e..45492ea3462 100644
--- a/main/generated/torchaudio.functional.bass_biquad.html
+++ b/main/generated/torchaudio.functional.bass_biquad.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.bass_biquad — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.bass_biquad — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
@@ -440,7 +440,7 @@
 
    torchaudio.functional.bass_biquadĀ¶
    
 
    
 
    
-torchaudio.functional.bass_biquad(waveform: Tensor, sample_rate: int, gain: float, central_freq: float = 100, Q: float = 0.707) → Tensor[source]Ā¶
    
+torchaudio.functional.bass_biquad(waveform: Tensor, sample_rate: int, gain: float, central_freq: float = 100, Q: float = 0.707) → Tensor[source]Ā¶
 
    Design a bass tone-control effect.  Similar to SoX implementation.
    
 This feature supports the following devices: CPU, CUDA
 This API supports the following properties: Autograd, TorchScript
@@ -449,9 +449,9 @@ 
    torchaudio.functional.bass_biquad
 
    
 
    Returns:
    
diff --git a/main/generated/torchaudio.functional.biquad.html b/main/generated/torchaudio.functional.biquad.html
index 3c0cfe1afe2..ee3c9be2e25 100644
--- a/main/generated/torchaudio.functional.biquad.html
+++ b/main/generated/torchaudio.functional.biquad.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.biquad — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.biquad — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
@@ -440,7 +440,7 @@
 
    torchaudio.functional.biquadĀ¶
    
 
    
 
    
-torchaudio.functional.biquad(waveform: Tensor, b0: float, b1: float, b2: float, a0: float, a1: float, a2: float) → Tensor[source]Ā¶
    
+torchaudio.functional.biquad(waveform: Tensor, b0: float, b1: float, b2: float, a0: float, a1: float, a2: float) → Tensor[source]Ā¶
 
    Perform a biquad filter of input tensor.  Initial conditions set to 0.
    
 This feature supports the following devices: CPU, CUDA
 This API supports the following properties: Autograd, TorchScript
@@ -448,12 +448,12 @@ 
    torchaudio.functional.biquadParameters:
 
    
 
    
 
    Returns:
    
diff --git a/main/generated/torchaudio.functional.compute_deltas.html b/main/generated/torchaudio.functional.compute_deltas.html
index fdaec03a859..4f98b7b09c2 100644
--- a/main/generated/torchaudio.functional.compute_deltas.html
+++ b/main/generated/torchaudio.functional.compute_deltas.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.compute_deltas — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.compute_deltas — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
@@ -440,7 +440,7 @@
 
    torchaudio.functional.compute_deltasĀ¶
    
 
    
 
    
-torchaudio.functional.compute_deltas(specgram: Tensor, win_length: int = 5, mode: str = 'replicate') → Tensor[source]Ā¶
    
+torchaudio.functional.compute_deltas(specgram: Tensor, win_length: int = 5, mode: str = 'replicate') → Tensor[source]Ā¶
 
    Compute delta coefficients of a tensor, usually a spectrogram:
    
 This feature supports the following devices: CPU, CUDA
 This API supports the following properties: TorchScript
diff --git a/main/generated/torchaudio.functional.contrast.html b/main/generated/torchaudio.functional.contrast.html
index 067244dfd4f..14df923d795 100644
--- a/main/generated/torchaudio.functional.contrast.html
+++ b/main/generated/torchaudio.functional.contrast.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.contrast — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.contrast — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
@@ -440,7 +440,7 @@
 
    torchaudio.functional.contrastĀ¶
    
 
    
 
    
-torchaudio.functional.contrast(waveform: Tensor, enhancement_amount: float = 75.0) → Tensor[source]Ā¶
    
+torchaudio.functional.contrast(waveform: Tensor, enhancement_amount: float = 75.0) → Tensor[source]Ā¶
 
    Apply contrast effect.  Similar to SoX implementation.
    
 This feature supports the following devices: CPU, CUDA
 This API supports the following properties: Autograd, TorchScript
diff --git a/main/generated/torchaudio.functional.convolve.html b/main/generated/torchaudio.functional.convolve.html
index 4f47489ca38..13bdea693ca 100644
--- a/main/generated/torchaudio.functional.convolve.html
+++ b/main/generated/torchaudio.functional.convolve.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.convolve — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.convolve — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
@@ -440,7 +440,7 @@
 
    torchaudio.functional.convolveĀ¶
    
 
    
 
    
-torchaudio.functional.convolve(x: Tensor, y: Tensor, mode: str = 'full') → Tensor[source]Ā¶
    
+torchaudio.functional.convolve(x: Tensor, y: Tensor, mode: str = 'full') → Tensor[source]Ā¶
 
    Convolves inputs along their last dimension using the direct method.
 Note that, in contrast to torch.nn.functional.conv1d(), which actually applies the valid cross-correlation
 operator, this function applies the true convolution operator.
    
@@ -449,8 +449,8 @@ 
    torchaudio.functional.convolve
 
    Parameters:
    
 
      
-
    • x (torch.Tensor) ā€“ First convolution operand, with shape (ā€¦, N).
      • 
-
    • y (torch.Tensor) ā€“ Second convolution operand, with shape (ā€¦, M)
+
    • x (torch.Tensor) ā€“ First convolution operand, with shape (ā€¦, N).
      • 
+
    • y (torch.Tensor) ā€“ Second convolution operand, with shape (ā€¦, M)
 (leading dimensions must be broadcast-able with those of x).
      • 
 
    • mode (str, optional) ā€“ 
      Must be one of (ā€œfullā€, ā€œvalidā€, ā€œsameā€).
      
 
    
 
    Return type:
    
-
    torch.Tensor
    
+
    torch.Tensor
    
 
    
 
    
 
    
diff --git a/main/generated/torchaudio.functional.create_dct.html b/main/generated/torchaudio.functional.create_dct.html
index 03456ca347c..101576c7a48 100644
--- a/main/generated/torchaudio.functional.create_dct.html
+++ b/main/generated/torchaudio.functional.create_dct.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.create_dct — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.create_dct — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
@@ -440,7 +440,7 @@
 
    torchaudio.functional.create_dctĀ¶
    
 
    
 
    
-torchaudio.functional.create_dct(n_mfcc: int, n_mels: int, norm: Optional[str]) → Tensor[source]Ā¶
    
+torchaudio.functional.create_dct(n_mfcc: int, n_mels: int, norm: Optional[str]) → Tensor[source]Ā¶
 
    Create a DCT transformation matrix with shape (n_mels, n_mfcc),
 normalized depending on norm.
    
 This feature supports the following devices: CPU
diff --git a/main/generated/torchaudio.functional.dcshift.html b/main/generated/torchaudio.functional.dcshift.html
index 31d279e59c7..be86bb57ad0 100644
--- a/main/generated/torchaudio.functional.dcshift.html
+++ b/main/generated/torchaudio.functional.dcshift.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.dcshift — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.dcshift — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
@@ -440,7 +440,7 @@
 
    torchaudio.functional.dcshiftĀ¶
    
 
    
 
    
-torchaudio.functional.dcshift(waveform: Tensor, shift: float, limiter_gain: Optional[float] = None) → Tensor[source]Ā¶
    
+torchaudio.functional.dcshift(waveform: Tensor, shift: float, limiter_gain: Optional[float] = None) → Tensor[source]Ā¶
 
    Apply a DC shift to the audio. Similar to SoX implementation.
    
 This feature supports the following devices: CPU, CUDA
 This API supports the following properties: TorchScript
diff --git a/main/generated/torchaudio.functional.deemph_biquad.html b/main/generated/torchaudio.functional.deemph_biquad.html
index 728a879fec8..11439b7d7f5 100644
--- a/main/generated/torchaudio.functional.deemph_biquad.html
+++ b/main/generated/torchaudio.functional.deemph_biquad.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.deemph_biquad — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.deemph_biquad — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
@@ -440,7 +440,7 @@
 
    torchaudio.functional.deemph_biquadĀ¶
    
 
    
 
    
-torchaudio.functional.deemph_biquad(waveform: Tensor, sample_rate: int) → Tensor[source]Ā¶
    
+torchaudio.functional.deemph_biquad(waveform: Tensor, sample_rate: int) → Tensor[source]Ā¶
 
    Apply ISO 908 CD de-emphasis (shelving) IIR filter.  Similar to SoX implementation.
    
 This feature supports the following devices: CPU, CUDA
 This API supports the following properties: Autograd, TorchScript
diff --git a/main/generated/torchaudio.functional.deemphasis.html b/main/generated/torchaudio.functional.deemphasis.html
index 6497805868c..1343fa742e1 100644
--- a/main/generated/torchaudio.functional.deemphasis.html
+++ b/main/generated/torchaudio.functional.deemphasis.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.deemphasis — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.deemphasis — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
@@ -440,7 +440,7 @@
 
    torchaudio.functional.deemphasisĀ¶
    
 
    
 
    
-torchaudio.functional.deemphasis(waveform, coeff: float = 0.97) → Tensor[source]Ā¶
    
+torchaudio.functional.deemphasis(waveform, coeff: float = 0.97) → Tensor[source]Ā¶
 
    De-emphasizes a waveform along its last dimension.
 Inverse of preemphasis(). Concretely, for each signal
 \(x\) in waveform, computes output \(y\) as
    
@@ -453,7 +453,7 @@ 
    torchaudio.functional.deemphasis
 
    Parameters:
    
 
      
-
    • waveform (torch.Tensor) ā€“ Waveform, with shape (ā€¦, N).
      • 
+
    • waveform (torch.Tensor) ā€“ Waveform, with shape (ā€¦, N).
      • 
 
    • coeff (float, optional) ā€“ De-emphasis coefficient. Typically between 0.0 and 1.0.
 (Default: 0.97)
      • 
 
    
@@ -462,7 +462,7 @@ 
    torchaudio.functional.deemphasis
    De-emphasized waveform, with shape (ā€¦, N).
    
 
    
 
    Return type:
    
-
    torch.Tensor
    
+
    torch.Tensor
    
 
    
 
    
 
    
diff --git a/main/generated/torchaudio.functional.detect_pitch_frequency.html b/main/generated/torchaudio.functional.detect_pitch_frequency.html
index ef3f3121c09..efd136bf504 100644
--- a/main/generated/torchaudio.functional.detect_pitch_frequency.html
+++ b/main/generated/torchaudio.functional.detect_pitch_frequency.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.detect_pitch_frequency — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.detect_pitch_frequency — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
@@ -440,7 +440,7 @@
 
    torchaudio.functional.detect_pitch_frequencyĀ¶
    
 
    
 
    
-torchaudio.functional.detect_pitch_frequency(waveform: Tensor, sample_rate: int, frame_time: float = 0.01, win_length: int = 30, freq_low: int = 85, freq_high: int = 3400) → Tensor[source]Ā¶
    
+torchaudio.functional.detect_pitch_frequency(waveform: Tensor, sample_rate: int, frame_time: float = 0.01, win_length: int = 30, freq_low: int = 85, freq_high: int = 3400) → Tensor[source]Ā¶
 
    Detect pitch frequency.
    
 This feature supports the following devices: CPU, CUDA
 This API supports the following properties: TorchScript
diff --git a/main/generated/torchaudio.functional.dither.html b/main/generated/torchaudio.functional.dither.html
index fa0ccbd7f59..f15a747d525 100644
--- a/main/generated/torchaudio.functional.dither.html
+++ b/main/generated/torchaudio.functional.dither.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.dither — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.dither — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
@@ -440,7 +440,7 @@
 
    torchaudio.functional.ditherĀ¶
    
 
    
 
    
-torchaudio.functional.dither(waveform: Tensor, density_function: str = 'TPDF', noise_shaping: bool = False) → Tensor[source]Ā¶
    
+torchaudio.functional.dither(waveform: Tensor, density_function: str = 'TPDF', noise_shaping: bool = False) → Tensor[source]Ā¶
 
    Apply dither
    
 This feature supports the following devices: CPU, CUDA
 This API supports the following properties: TorchScript
diff --git a/main/generated/torchaudio.functional.edit_distance.html b/main/generated/torchaudio.functional.edit_distance.html
index 21ee386a059..3b3a9ed2223 100644
--- a/main/generated/torchaudio.functional.edit_distance.html
+++ b/main/generated/torchaudio.functional.edit_distance.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.edit_distance — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.edit_distance — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.functional.equalizer_biquad.html b/main/generated/torchaudio.functional.equalizer_biquad.html
index 72a29b7677f..0198ba8e26b 100644
--- a/main/generated/torchaudio.functional.equalizer_biquad.html
+++ b/main/generated/torchaudio.functional.equalizer_biquad.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.equalizer_biquad — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.equalizer_biquad — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
@@ -440,7 +440,7 @@
 
    torchaudio.functional.equalizer_biquadĀ¶
    
 
    
 
    
-torchaudio.functional.equalizer_biquad(waveform: Tensor, sample_rate: int, center_freq: float, gain: float, Q: float = 0.707) → Tensor[source]Ā¶
    
+torchaudio.functional.equalizer_biquad(waveform: Tensor, sample_rate: int, center_freq: float, gain: float, Q: float = 0.707) → Tensor[source]Ā¶
 
    Design biquad peaking equalizer filter and perform filtering.  Similar to SoX implementation.
    
 This feature supports the following devices: CPU, CUDA
 This API supports the following properties: Autograd, TorchScript
@@ -450,8 +450,8 @@ 
    torchaudio.functional.equalizer_biquadint) ā€“ sampling rate of the waveform, e.g. 44100 (Hz)
    
 
  • center_freq (float) ā€“ filterā€™s central frequency
    • 
-
  • gain (float or torch.Tensor) ā€“ desired gain at the boost (or attenuation) in dB
    • 
-
  • Q (float or torch.Tensor, optional) ā€“ https://en.wikipedia.org/wiki/Q_factor (Default: 0.707)
    • 
+
  • gain (float or torch.Tensor) ā€“ desired gain at the boost (or attenuation) in dB
    • 
+
  • Q (float or torch.Tensor, optional) ā€“ https://en.wikipedia.org/wiki/Q_factor (Default: 0.707)
    • 
 

 

 
Returns:

diff --git a/main/generated/torchaudio.functional.fftconvolve.html b/main/generated/torchaudio.functional.fftconvolve.html
index 77f9c887461..3bd78ace47f 100644
--- a/main/generated/torchaudio.functional.fftconvolve.html
+++ b/main/generated/torchaudio.functional.fftconvolve.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.fftconvolve — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.fftconvolve — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     

     
 
@@ -440,7 +440,7 @@
 
torchaudio.functional.fftconvolveĀ¶

 

 

-torchaudio.functional.fftconvolve(x: Tensor, y: Tensor, mode: str = 'full') → Tensor[source]Ā¶

+torchaudio.functional.fftconvolve(x: Tensor, y: Tensor, mode: str = 'full') → Tensor[source]Ā¶
 
Convolves inputs along their last dimension using FFT. For inputs with large last dimensions, this function
 is generally much faster than convolve().
 Note that, in contrast to torch.nn.functional.conv1d(), which actually applies the valid cross-correlation
@@ -451,8 +451,8 @@ 
torchaudio.functional.fftconvolve
 
Parameters:

 
    
-
  • x (torch.Tensor) ā€“ First convolution operand, with shape (ā€¦, N).
    • 
-
  • y (torch.Tensor) ā€“ Second convolution operand, with shape (ā€¦, M)
+
  • x (torch.Tensor) ā€“ First convolution operand, with shape (ā€¦, N).
    • 
+
  • y (torch.Tensor) ā€“ Second convolution operand, with shape (ā€¦, M)
 (leading dimensions must be broadcast-able with those of x).
    • 
 
  • mode (str, optional) ā€“ 
    Must be one of (ā€œfullā€, ā€œvalidā€, ā€œsameā€).
    
 

 
Return type:

-
torch.Tensor

+
torch.Tensor

 

 

 

diff --git a/main/generated/torchaudio.functional.filtfilt.html b/main/generated/torchaudio.functional.filtfilt.html
index 1587fd49cea..0b8807d278c 100644
--- a/main/generated/torchaudio.functional.filtfilt.html
+++ b/main/generated/torchaudio.functional.filtfilt.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.filtfilt — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.filtfilt — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     

     
 
@@ -440,7 +440,7 @@
 
torchaudio.functional.filtfiltĀ¶

 

 

-torchaudio.functional.filtfilt(waveform: Tensor, a_coeffs: Tensor, b_coeffs: Tensor, clamp: bool = True) → Tensor[source]Ā¶

+torchaudio.functional.filtfilt(waveform: Tensor, a_coeffs: Tensor, b_coeffs: Tensor, clamp: bool = True) → Tensor[source]Ā¶
 
Apply an IIR filter forward and backward to a waveform.

 This feature supports the following devices: CPU, CUDA
 This API supports the following properties: Autograd, TorchScript
diff --git a/main/generated/torchaudio.functional.flanger.html b/main/generated/torchaudio.functional.flanger.html
index 72484186edf..1a70b4d9555 100644
--- a/main/generated/torchaudio.functional.flanger.html
+++ b/main/generated/torchaudio.functional.flanger.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.flanger — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.flanger — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     

     
 
@@ -440,7 +440,7 @@
 
torchaudio.functional.flangerĀ¶

 

 

-torchaudio.functional.flanger(waveform: Tensor, sample_rate: int, delay: float = 0.0, depth: float = 2.0, regen: float = 0.0, width: float = 71.0, speed: float = 0.5, phase: float = 25.0, modulation: str = 'sinusoidal', interpolation: str = 'linear') → Tensor[source]Ā¶

+torchaudio.functional.flanger(waveform: Tensor, sample_rate: int, delay: float = 0.0, depth: float = 2.0, regen: float = 0.0, width: float = 71.0, speed: float = 0.5, phase: float = 25.0, modulation: str = 'sinusoidal', interpolation: str = 'linear') → Tensor[source]Ā¶
 
Apply a flanger effect to the audio. Similar to SoX implementation.

 This feature supports the following devices: CPU, CUDA
 This API supports the following properties: Autograd, TorchScript
diff --git a/main/generated/torchaudio.functional.forced_align.html b/main/generated/torchaudio.functional.forced_align.html
index 2b3fac39774..72ebd0bb46f 100644
--- a/main/generated/torchaudio.functional.forced_align.html
+++ b/main/generated/torchaudio.functional.forced_align.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.forced_align — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.forced_align — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     

     
 
@@ -440,7 +440,7 @@
 
torchaudio.functional.forced_alignĀ¶

 

 

-torchaudio.functional.forced_align(log_probs: Tensor, targets: Tensor, input_lengths: Optional[Tensor] = None, target_lengths: Optional[Tensor] = None, blank: int = 0) → Tuple[Tensor, Tensor][source]Ā¶

+torchaudio.functional.forced_align(log_probs: Tensor, targets: Tensor, input_lengths: Optional[Tensor] = None, target_lengths: Optional[Tensor] = None, blank: int = 0) → Tuple[Tensor, Tensor][source]Ā¶
 
Align a CTC label sequence to an emission.

 This feature supports the following devices: CPU, CUDA
 This API supports the following properties: TorchScript
diff --git a/main/generated/torchaudio.functional.frechet_distance.html b/main/generated/torchaudio.functional.frechet_distance.html
index b1c6ae85b3d..eb675d033df 100644
--- a/main/generated/torchaudio.functional.frechet_distance.html
+++ b/main/generated/torchaudio.functional.frechet_distance.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.frechet_distance — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.frechet_distance — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     

     
 
@@ -452,17 +452,17 @@ 
torchaudio.functional.frechet_distance
 
Parameters:

 
    
-
  • mu_x (torch.Tensor) ā€“ mean \(\mu_X\) of multivariate Gaussian \(X\), with shape (N,).
    • 
-
  • sigma_x (torch.Tensor) ā€“ covariance matrix \(\Sigma_X\) of \(X\), with shape (N, N).
    • 
-
  • mu_y (torch.Tensor) ā€“ mean \(\mu_Y\) of multivariate Gaussian \(Y\), with shape (N,).
    • 
-
  • sigma_y (torch.Tensor) ā€“ covariance matrix \(\Sigma_Y\) of \(Y\), with shape (N, N).
    • 
+
  • mu_x (torch.Tensor) ā€“ mean \(\mu_X\) of multivariate Gaussian \(X\), with shape (N,).
    • 
+
  • sigma_x (torch.Tensor) ā€“ covariance matrix \(\Sigma_X\) of \(X\), with shape (N, N).
    • 
+
  • mu_y (torch.Tensor) ā€“ mean \(\mu_Y\) of multivariate Gaussian \(Y\), with shape (N,).
    • 
+
  • sigma_y (torch.Tensor) ā€“ covariance matrix \(\Sigma_Y\) of \(Y\), with shape (N, N).
    • 
 

 

 
Returns:

 
the FrƩchet distance between \(X\) and \(Y\).

 

 
Return type:

-
torch.Tensor

+
torch.Tensor

 

 

 

diff --git a/main/generated/torchaudio.functional.gain.html b/main/generated/torchaudio.functional.gain.html
index dd6acd3d8ff..8f079594975 100644
--- a/main/generated/torchaudio.functional.gain.html
+++ b/main/generated/torchaudio.functional.gain.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.gain — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.gain — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     

     
 
@@ -440,7 +440,7 @@
 
torchaudio.functional.gainĀ¶

 

 

-torchaudio.functional.gain(waveform: Tensor, gain_db: float = 1.0) → Tensor[source]Ā¶

+torchaudio.functional.gain(waveform: Tensor, gain_db: float = 1.0) → Tensor[source]Ā¶
 
Apply amplification or attenuation to the whole waveform.

 This feature supports the following devices: CPU, CUDA
 This API supports the following properties: Autograd, TorchScript
diff --git a/main/generated/torchaudio.functional.griffinlim.html b/main/generated/torchaudio.functional.griffinlim.html
index db2ec6857a4..7de285e5935 100644
--- a/main/generated/torchaudio.functional.griffinlim.html
+++ b/main/generated/torchaudio.functional.griffinlim.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.griffinlim — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.griffinlim — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     

     
 
@@ -440,7 +440,7 @@
 
torchaudio.functional.griffinlimĀ¶

 

 

-torchaudio.functional.griffinlim(specgram: Tensor, window: Tensor, n_fft: int, hop_length: int, win_length: int, power: float, n_iter: int, momentum: float, length: Optional[int], rand_init: bool) → Tensor[source]Ā¶

+torchaudio.functional.griffinlim(specgram: Tensor, window: Tensor, n_fft: int, hop_length: int, win_length: int, power: float, n_iter: int, momentum: float, length: Optional[int], rand_init: bool) → Tensor[source]Ā¶
 
Compute waveform from a linear scale magnitude spectrogram using the Griffin-Lim transformation.

 This feature supports the following devices: CPU, CUDA
 This API supports the following properties: Autograd, TorchScript
diff --git a/main/generated/torchaudio.functional.highpass_biquad.html b/main/generated/torchaudio.functional.highpass_biquad.html
index 6f50bf50ce6..bf00a0daed6 100644
--- a/main/generated/torchaudio.functional.highpass_biquad.html
+++ b/main/generated/torchaudio.functional.highpass_biquad.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.highpass_biquad — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.highpass_biquad — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     

     
 
@@ -440,7 +440,7 @@
 
torchaudio.functional.highpass_biquadĀ¶

 

 

-torchaudio.functional.highpass_biquad(waveform: Tensor, sample_rate: int, cutoff_freq: float, Q: float = 0.707) → Tensor[source]Ā¶

+torchaudio.functional.highpass_biquad(waveform: Tensor, sample_rate: int, cutoff_freq: float, Q: float = 0.707) → Tensor[source]Ā¶
 
Design biquad highpass filter and perform filtering.  Similar to SoX implementation.

 This feature supports the following devices: CPU, CUDA
 This API supports the following properties: Autograd, TorchScript
@@ -449,8 +449,8 @@ 
torchaudio.functional.highpass_biquad
 

 
Returns:

diff --git a/main/generated/torchaudio.functional.inverse_spectrogram.html b/main/generated/torchaudio.functional.inverse_spectrogram.html
index cbb19e61b7c..167417e98fc 100644
--- a/main/generated/torchaudio.functional.inverse_spectrogram.html
+++ b/main/generated/torchaudio.functional.inverse_spectrogram.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.inverse_spectrogram — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.inverse_spectrogram — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     

     
 
@@ -440,7 +440,7 @@
 
torchaudio.functional.inverse_spectrogramĀ¶

 

 

-torchaudio.functional.inverse_spectrogram(spectrogram: Tensor, length: Optional[int], pad: int, window: Tensor, n_fft: int, hop_length: int, win_length: int, normalized: Union[bool, str], center: bool = True, pad_mode: str = 'reflect', onesided: bool = True) → Tensor[source]Ā¶

+torchaudio.functional.inverse_spectrogram(spectrogram: Tensor, length: Optional[int], pad: int, window: Tensor, n_fft: int, hop_length: int, win_length: int, normalized: Union[bool, str], center: bool = True, pad_mode: str = 'reflect', onesided: bool = True) → Tensor[source]Ā¶
 
Create an inverse spectrogram or a batch of inverse spectrograms from the provided
 complex-valued spectrogram.

 This feature supports the following devices: CPU, CUDA
diff --git a/main/generated/torchaudio.functional.lfilter.html b/main/generated/torchaudio.functional.lfilter.html
index d01557b0ee8..93be2256c3e 100644
--- a/main/generated/torchaudio.functional.lfilter.html
+++ b/main/generated/torchaudio.functional.lfilter.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.lfilter — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.lfilter — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     

     
 
@@ -440,7 +440,7 @@
 
torchaudio.functional.lfilterĀ¶

 

 

-torchaudio.functional.lfilter(waveform: Tensor, a_coeffs: Tensor, b_coeffs: Tensor, clamp: bool = True, batching: bool = True) → Tensor[source]Ā¶

+torchaudio.functional.lfilter(waveform: Tensor, a_coeffs: Tensor, b_coeffs: Tensor, clamp: bool = True, batching: bool = True) → Tensor[source]Ā¶
 
Perform an IIR filter by evaluating difference equation, using differentiable implementation
 developed independently by Yu et al. [Yu and Fazekas, 2023] and Forgione et al. [Forgione and Piga, 2021].

 This feature supports the following devices: CPU, CUDA
diff --git a/main/generated/torchaudio.functional.linear_fbanks.html b/main/generated/torchaudio.functional.linear_fbanks.html
index 65e262e3325..f356e2b6995 100644
--- a/main/generated/torchaudio.functional.linear_fbanks.html
+++ b/main/generated/torchaudio.functional.linear_fbanks.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.linear_fbanks — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.linear_fbanks — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     

     
 
@@ -440,7 +440,7 @@
 
torchaudio.functional.linear_fbanksĀ¶

 

 

-torchaudio.functional.linear_fbanks(n_freqs: int, f_min: float, f_max: float, n_filter: int, sample_rate: int) → Tensor[source]Ā¶

+torchaudio.functional.linear_fbanks(n_freqs: int, f_min: float, f_max: float, n_filter: int, sample_rate: int) → Tensor[source]Ā¶
 
Creates a linear triangular filterbank.

 This feature supports the following devices: CPU
 This API supports the following properties: TorchScript
diff --git a/main/generated/torchaudio.functional.loudness.html b/main/generated/torchaudio.functional.loudness.html
index ed2a916ae33..a28d750ecea 100644
--- a/main/generated/torchaudio.functional.loudness.html
+++ b/main/generated/torchaudio.functional.loudness.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.loudness — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.loudness — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     

     
 
@@ -440,14 +440,14 @@
 
torchaudio.functional.loudnessĀ¶

 

 

-torchaudio.functional.loudness(waveform: Tensor, sample_rate: int)[source]Ā¶

+torchaudio.functional.loudness(waveform: Tensor, sample_rate: int)[source]Ā¶
 
Measure audio loudness according to the ITU-R BS.1770-4 recommendation.

 This feature supports the following devices: CPU, CUDA
 This API supports the following properties: TorchScript
 

 
Parameters:

 
    
-
  • waveform (torch.Tensor) ā€“ audio waveform of dimension (ā€¦, channels, time)
    • 
+
  • waveform (torch.Tensor) ā€“ audio waveform of dimension (ā€¦, channels, time)
    • 
 
  • sample_rate (int) ā€“ sampling rate of the waveform
    • 
 

 

diff --git a/main/generated/torchaudio.functional.lowpass_biquad.html b/main/generated/torchaudio.functional.lowpass_biquad.html
index 07dea942dc2..923bdd8e4ee 100644
--- a/main/generated/torchaudio.functional.lowpass_biquad.html
+++ b/main/generated/torchaudio.functional.lowpass_biquad.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.lowpass_biquad — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.lowpass_biquad — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     

     
 
@@ -440,17 +440,17 @@
 
torchaudio.functional.lowpass_biquadĀ¶

 

 

-torchaudio.functional.lowpass_biquad(waveform: Tensor, sample_rate: int, cutoff_freq: float, Q: float = 0.707) → Tensor[source]Ā¶

+torchaudio.functional.lowpass_biquad(waveform: Tensor, sample_rate: int, cutoff_freq: float, Q: float = 0.707) → Tensor[source]Ā¶
 
Design biquad lowpass filter and perform filtering.  Similar to SoX implementation.

 This feature supports the following devices: CPU, CUDA
 This API supports the following properties: Autograd, TorchScript
 

 
Parameters:

 

 

 
Returns:

diff --git a/main/generated/torchaudio.functional.mask_along_axis.html b/main/generated/torchaudio.functional.mask_along_axis.html
index ed057237134..f39901270cd 100644
--- a/main/generated/torchaudio.functional.mask_along_axis.html
+++ b/main/generated/torchaudio.functional.mask_along_axis.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.mask_along_axis — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.mask_along_axis — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     

     
 
@@ -440,7 +440,7 @@
 
torchaudio.functional.mask_along_axisĀ¶

 

 

-torchaudio.functional.mask_along_axis(specgram: Tensor, mask_param: int, mask_value: float, axis: int, p: float = 1.0) → Tensor[source]Ā¶

+torchaudio.functional.mask_along_axis(specgram: Tensor, mask_param: int, mask_value: float, axis: int, p: float = 1.0) → Tensor[source]Ā¶
 
Apply a mask along axis.

 This feature supports the following devices: CPU, CUDA
 This API supports the following properties: Autograd, TorchScript
diff --git a/main/generated/torchaudio.functional.mask_along_axis_iid.html b/main/generated/torchaudio.functional.mask_along_axis_iid.html
index b20c3e1039d..85debfa1672 100644
--- a/main/generated/torchaudio.functional.mask_along_axis_iid.html
+++ b/main/generated/torchaudio.functional.mask_along_axis_iid.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.mask_along_axis_iid — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.mask_along_axis_iid — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     

     
 
@@ -440,7 +440,7 @@
 
torchaudio.functional.mask_along_axis_iidĀ¶

 

 

-torchaudio.functional.mask_along_axis_iid(specgrams: Tensor, mask_param: int, mask_value: float, axis: int, p: float = 1.0) → Tensor[source]Ā¶

+torchaudio.functional.mask_along_axis_iid(specgrams: Tensor, mask_param: int, mask_value: float, axis: int, p: float = 1.0) → Tensor[source]Ā¶
 
Apply a mask along axis.

 This feature supports the following devices: CPU, CUDA
 This API supports the following properties: Autograd, TorchScript
diff --git a/main/generated/torchaudio.functional.melscale_fbanks.html b/main/generated/torchaudio.functional.melscale_fbanks.html
index f690506e71e..bada0b85c97 100644
--- a/main/generated/torchaudio.functional.melscale_fbanks.html
+++ b/main/generated/torchaudio.functional.melscale_fbanks.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.melscale_fbanks — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.melscale_fbanks — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     

     
 
@@ -440,7 +440,7 @@
 
torchaudio.functional.melscale_fbanksĀ¶

 

 

-torchaudio.functional.melscale_fbanks(n_freqs: int, f_min: float, f_max: float, n_mels: int, sample_rate: int, norm: Optional[str] = None, mel_scale: str = 'htk') → Tensor[source]Ā¶

+torchaudio.functional.melscale_fbanks(n_freqs: int, f_min: float, f_max: float, n_mels: int, sample_rate: int, norm: Optional[str] = None, mel_scale: str = 'htk') → Tensor[source]Ā¶
 
Create a frequency bin conversion matrix.

 This feature supports the following devices: CPU
 This API supports the following properties: TorchScript
diff --git a/main/generated/torchaudio.functional.merge_tokens.html b/main/generated/torchaudio.functional.merge_tokens.html
index f46fb3f7e10..4b08c14d78d 100644
--- a/main/generated/torchaudio.functional.merge_tokens.html
+++ b/main/generated/torchaudio.functional.merge_tokens.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.merge_tokens — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.merge_tokens — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     

     
 
@@ -440,7 +440,7 @@
 
torchaudio.functional.merge_tokensĀ¶

 

 

-torchaudio.functional.merge_tokens(tokens: Tensor, scores: Tensor, blank: int = 0) → List[TokenSpan][source]Ā¶

+torchaudio.functional.merge_tokens(tokens: Tensor, scores: Tensor, blank: int = 0) → List[TokenSpan][source]Ā¶
 
Removes repeated tokens and blank tokens from the given CTC token sequence.

 

 
Parameters:

diff --git a/main/generated/torchaudio.functional.mu_law_decoding.html b/main/generated/torchaudio.functional.mu_law_decoding.html
index 19e16159700..2d396539d88 100644
--- a/main/generated/torchaudio.functional.mu_law_decoding.html
+++ b/main/generated/torchaudio.functional.mu_law_decoding.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.mu_law_decoding — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.mu_law_decoding — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     

     
 
@@ -440,7 +440,7 @@
 
torchaudio.functional.mu_law_decodingĀ¶

 

 

-torchaudio.functional.mu_law_decoding(x_mu: Tensor, quantization_channels: int) → Tensor[source]Ā¶

+torchaudio.functional.mu_law_decoding(x_mu: Tensor, quantization_channels: int) → Tensor[source]Ā¶
 
Decode mu-law encoded signal.

 This feature supports the following devices: CPU, CUDA
 This API supports the following properties: TorchScript
diff --git a/main/generated/torchaudio.functional.mu_law_encoding.html b/main/generated/torchaudio.functional.mu_law_encoding.html
index bbddb3cbbd3..4d9cd52c1c8 100644
--- a/main/generated/torchaudio.functional.mu_law_encoding.html
+++ b/main/generated/torchaudio.functional.mu_law_encoding.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.mu_law_encoding — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.mu_law_encoding — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     

     
 
@@ -440,7 +440,7 @@
 
torchaudio.functional.mu_law_encodingĀ¶

 

 

-torchaudio.functional.mu_law_encoding(x: Tensor, quantization_channels: int) → Tensor[source]Ā¶

+torchaudio.functional.mu_law_encoding(x: Tensor, quantization_channels: int) → Tensor[source]Ā¶
 
Encode signal based on mu-law companding.

 This feature supports the following devices: CPU, CUDA
 This API supports the following properties: TorchScript
diff --git a/main/generated/torchaudio.functional.mvdr_weights_rtf.html b/main/generated/torchaudio.functional.mvdr_weights_rtf.html
index 0ae4c74b02f..ed5340b138a 100644
--- a/main/generated/torchaudio.functional.mvdr_weights_rtf.html
+++ b/main/generated/torchaudio.functional.mvdr_weights_rtf.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.mvdr_weights_rtf — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.mvdr_weights_rtf — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     

     
 
@@ -440,7 +440,7 @@
 
torchaudio.functional.mvdr_weights_rtfĀ¶

 

 

-torchaudio.functional.mvdr_weights_rtf(rtf: Tensor, psd_n: Tensor, reference_channel: Optional[Union[int, Tensor]] = None, diagonal_loading: bool = True, diag_eps: float = 1e-07, eps: float = 1e-08) → Tensor[source]Ā¶

+torchaudio.functional.mvdr_weights_rtf(rtf: Tensor, psd_n: Tensor, reference_channel: Optional[Union[int, Tensor]] = None, diagonal_loading: bool = True, diag_eps: float = 1e-07, eps: float = 1e-08) → Tensor[source]Ā¶
 
Compute the Minimum Variance Distortionless Response (MVDR [Capon, 1969]) beamforming weights
 based on the relative transfer function (RTF) and power spectral density (PSD) matrix of noise.

 This feature supports the following devices: CPU, CUDA
@@ -459,11 +459,11 @@ 
torchaudio.functional.mvdr_weights_rtf
 
Parameters:

 
    
-
  • rtf (torch.Tensor) ā€“ The complex-valued RTF vector of target speech.
+
  • rtf (torch.Tensor) ā€“ The complex-valued RTF vector of target speech.
 Tensor with dimensions (ā€¦, freq, channel).
    • 
-
  • psd_n (torch.Tensor) ā€“ The complex-valued power spectral density (PSD) matrix of noise.
+
  • psd_n (torch.Tensor) ā€“ The complex-valued power spectral density (PSD) matrix of noise.
 Tensor with dimensions (ā€¦, freq, channel, channel).
    • 
-
  • reference_channel (int or torch.Tensor) ā€“ Specifies the reference channel.
+
  • reference_channel (int or torch.Tensor) ā€“ Specifies the reference channel.
 If the dtype is int, it represents the reference channel index.
 If the dtype is torch.Tensor, its shape is (ā€¦, channel), where the channel dimension
 is one-hot.
    • 
@@ -479,7 +479,7 @@ 
    torchaudio.functional.mvdr_weights_rtf
    The complex-valued MVDR beamforming weight matrix with dimensions (ā€¦, freq, channel).
    
 

 
Return type:

-
torch.Tensor

+
torch.Tensor

 

 

 

diff --git a/main/generated/torchaudio.functional.mvdr_weights_souden.html b/main/generated/torchaudio.functional.mvdr_weights_souden.html
index f6f862083a1..0b51ecc25c2 100644
--- a/main/generated/torchaudio.functional.mvdr_weights_souden.html
+++ b/main/generated/torchaudio.functional.mvdr_weights_souden.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.mvdr_weights_souden — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.mvdr_weights_souden — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     

     
 
@@ -440,7 +440,7 @@
 
torchaudio.functional.mvdr_weights_soudenĀ¶

 

 

-torchaudio.functional.mvdr_weights_souden(psd_s: Tensor, psd_n: Tensor, reference_channel: Union[int, Tensor], diagonal_loading: bool = True, diag_eps: float = 1e-07, eps: float = 1e-08) → Tensor[source]Ā¶

+torchaudio.functional.mvdr_weights_souden(psd_s: Tensor, psd_n: Tensor, reference_channel: Union[int, Tensor], diagonal_loading: bool = True, diag_eps: float = 1e-07, eps: float = 1e-08) → Tensor[source]Ā¶
 
Compute the Minimum Variance Distortionless Response (MVDR [Capon, 1969]) beamforming weights
 by the method proposed by Souden et, al. [Souden et al., 2009].

 This feature supports the following devices: CPU, CUDA
@@ -458,11 +458,11 @@ 
torchaudio.functional.mvdr_weights_souden
 
Parameters:

 
    
-
  • psd_s (torch.Tensor) ā€“ The complex-valued power spectral density (PSD) matrix of target speech.
+
  • psd_s (torch.Tensor) ā€“ The complex-valued power spectral density (PSD) matrix of target speech.
 Tensor with dimensions (ā€¦, freq, channel, channel).
    • 
-
  • psd_n (torch.Tensor) ā€“ The complex-valued power spectral density (PSD) matrix of noise.
+
  • psd_n (torch.Tensor) ā€“ The complex-valued power spectral density (PSD) matrix of noise.
 Tensor with dimensions (ā€¦, freq, channel, channel).
    • 
-
  • reference_channel (int or torch.Tensor) ā€“ Specifies the reference channel.
+
  • reference_channel (int or torch.Tensor) ā€“ Specifies the reference channel.
 If the dtype is int, it represents the reference channel index.
 If the dtype is torch.Tensor, its shape is (ā€¦, channel), where the channel dimension
 is one-hot.
    • 
@@ -478,7 +478,7 @@ 
    torchaudio.functional.mvdr_weights_souden
    The complex-valued MVDR beamforming weight matrix with dimensions (ā€¦, freq, channel).
    
 

 
Return type:

-
torch.Tensor

+
torch.Tensor

 

 

 

diff --git a/main/generated/torchaudio.functional.overdrive.html b/main/generated/torchaudio.functional.overdrive.html
index 1642216148a..879b9c11097 100644
--- a/main/generated/torchaudio.functional.overdrive.html
+++ b/main/generated/torchaudio.functional.overdrive.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.overdrive — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.overdrive — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     

     
 
@@ -440,7 +440,7 @@
 
torchaudio.functional.overdriveĀ¶

 

 

-torchaudio.functional.overdrive(waveform: Tensor, gain: float = 20, colour: float = 20) → Tensor[source]Ā¶

+torchaudio.functional.overdrive(waveform: Tensor, gain: float = 20, colour: float = 20) → Tensor[source]Ā¶
 
Apply a overdrive effect to the audio. Similar to SoX implementation.

 This feature supports the following devices: CPU, CUDA
 This API supports the following properties: Autograd, TorchScript
diff --git a/main/generated/torchaudio.functional.phase_vocoder.html b/main/generated/torchaudio.functional.phase_vocoder.html
index 03d64598e44..17337ddd967 100644
--- a/main/generated/torchaudio.functional.phase_vocoder.html
+++ b/main/generated/torchaudio.functional.phase_vocoder.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.phase_vocoder — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.phase_vocoder — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     

     
 
@@ -440,7 +440,7 @@
 
torchaudio.functional.phase_vocoderĀ¶

 

 

-torchaudio.functional.phase_vocoder(complex_specgrams: Tensor, rate: float, phase_advance: Tensor) → Tensor[source]Ā¶

+torchaudio.functional.phase_vocoder(complex_specgrams: Tensor, rate: float, phase_advance: Tensor) → Tensor[source]Ā¶
 
Given a STFT tensor, speed up in time without modifying pitch by a factor of rate.

 This feature supports the following devices: CPU, CUDA
 This API supports the following properties: Autograd, TorchScript
diff --git a/main/generated/torchaudio.functional.phaser.html b/main/generated/torchaudio.functional.phaser.html
index 26d90199b34..04cd15dcc46 100644
--- a/main/generated/torchaudio.functional.phaser.html
+++ b/main/generated/torchaudio.functional.phaser.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.phaser — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.phaser — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     

     
 
@@ -440,7 +440,7 @@
 
torchaudio.functional.phaserĀ¶

 

 

-torchaudio.functional.phaser(waveform: Tensor, sample_rate: int, gain_in: float = 0.4, gain_out: float = 0.74, delay_ms: float = 3.0, decay: float = 0.4, mod_speed: float = 0.5, sinusoidal: bool = True) → Tensor[source]Ā¶

+torchaudio.functional.phaser(waveform: Tensor, sample_rate: int, gain_in: float = 0.4, gain_out: float = 0.74, delay_ms: float = 3.0, decay: float = 0.4, mod_speed: float = 0.5, sinusoidal: bool = True) → Tensor[source]Ā¶
 
Apply a phasing effect to the audio. Similar to SoX implementation.

 This feature supports the following devices: CPU, CUDA
 This API supports the following properties: Autograd, TorchScript
diff --git a/main/generated/torchaudio.functional.pitch_shift.html b/main/generated/torchaudio.functional.pitch_shift.html
index b32a56eed7a..934730d8652 100644
--- a/main/generated/torchaudio.functional.pitch_shift.html
+++ b/main/generated/torchaudio.functional.pitch_shift.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.pitch_shift — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.pitch_shift — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     

     
 
@@ -440,7 +440,7 @@
 
torchaudio.functional.pitch_shiftĀ¶

 

 

-torchaudio.functional.pitch_shift(waveform: Tensor, sample_rate: int, n_steps: int, bins_per_octave: int = 12, n_fft: int = 512, win_length: Optional[int] = None, hop_length: Optional[int] = None, window: Optional[Tensor] = None) → Tensor[source]Ā¶

+torchaudio.functional.pitch_shift(waveform: Tensor, sample_rate: int, n_steps: int, bins_per_octave: int = 12, n_fft: int = 512, win_length: Optional[int] = None, hop_length: Optional[int] = None, window: Optional[Tensor] = None) → Tensor[source]Ā¶
 
Shift the pitch of a waveform by n_steps steps.

 This feature supports the following devices: CPU, CUDA
 This API supports the following properties: TorchScript
diff --git a/main/generated/torchaudio.functional.preemphasis.html b/main/generated/torchaudio.functional.preemphasis.html
index 9985a19d56a..b9d9b139808 100644
--- a/main/generated/torchaudio.functional.preemphasis.html
+++ b/main/generated/torchaudio.functional.preemphasis.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.preemphasis — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.preemphasis — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     

     
 
@@ -440,7 +440,7 @@
 
torchaudio.functional.preemphasisĀ¶

 

 

-torchaudio.functional.preemphasis(waveform, coeff: float = 0.97) → Tensor[source]Ā¶

+torchaudio.functional.preemphasis(waveform, coeff: float = 0.97) → Tensor[source]Ā¶
 
Pre-emphasizes a waveform along its last dimension, i.e.
 for each signal \(x\) in waveform, computes
 output \(y\) as

@@ -453,7 +453,7 @@ 
torchaudio.functional.preemphasis
 
Parameters:

 
    
-
  • waveform (torch.Tensor) ā€“ Waveform, with shape (ā€¦, N).
    • 
+
  • waveform (torch.Tensor) ā€“ Waveform, with shape (ā€¦, N).
    • 
 
  • coeff (float, optional) ā€“ Pre-emphasis coefficient. Typically between 0.0 and 1.0.
 (Default: 0.97)
    • 
 

@@ -462,7 +462,7 @@ 
torchaudio.functional.preemphasis
Pre-emphasized waveform, with shape (ā€¦, N).

 

 
Return type:

-
torch.Tensor

+
torch.Tensor

 

 

 

diff --git a/main/generated/torchaudio.functional.psd.html b/main/generated/torchaudio.functional.psd.html
index 3a9be100086..11649d1e59a 100644
--- a/main/generated/torchaudio.functional.psd.html
+++ b/main/generated/torchaudio.functional.psd.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.psd — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.psd — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     

     
 
@@ -440,16 +440,16 @@
 
torchaudio.functional.psdĀ¶

 

 

-torchaudio.functional.psd(specgram: Tensor, mask: Optional[Tensor] = None, normalize: bool = True, eps: float = 1e-10) → Tensor[source]Ā¶

+torchaudio.functional.psd(specgram: Tensor, mask: Optional[Tensor] = None, normalize: bool = True, eps: float = 1e-10) → Tensor[source]Ā¶
 
Compute cross-channel power spectral density (PSD) matrix.

 This feature supports the following devices: CPU, CUDA
 This API supports the following properties: Autograd, TorchScript
 

 
Parameters:

 
    
-
  • specgram (torch.Tensor) ā€“ Multi-channel complex-valued spectrum.
+
  • specgram (torch.Tensor) ā€“ Multi-channel complex-valued spectrum.
 Tensor with dimensions (ā€¦, channel, freq, time).
    • 
-
  • mask (torch.Tensor or None, optional) ā€“ Time-Frequency mask for normalization.
+
  • mask (torch.Tensor or None, optional) ā€“ Time-Frequency mask for normalization.
 Tensor with dimensions (ā€¦, freq, time). (Default: None)
    • 
 
  • normalize (bool, optional) ā€“ If True, normalize the mask along the time dimension. (Default: True)
    • 
 
  • eps (float, optional) ā€“ Value to add to the denominator in mask normalization. (Default: 1e-15)
    • 
@@ -460,7 +460,7 @@ 
    torchaudio.functional.psdReturn type:
-
    torch.Tensor
    
+
    torch.Tensor
    
 
    
 

 

diff --git a/main/generated/torchaudio.functional.resample.html b/main/generated/torchaudio.functional.resample.html
index ab4da53baa0..cbcb146122f 100644
--- a/main/generated/torchaudio.functional.resample.html
+++ b/main/generated/torchaudio.functional.resample.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.resample — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.resample — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     

     
 
@@ -440,7 +440,7 @@
 
torchaudio.functional.resampleĀ¶

 

 

-torchaudio.functional.resample(waveform: Tensor, orig_freq: int, new_freq: int, lowpass_filter_width: int = 6, rolloff: float = 0.99, resampling_method: str = 'sinc_interp_hann', beta: Optional[float] = None) → Tensor[source]Ā¶

+torchaudio.functional.resample(waveform: Tensor, orig_freq: int, new_freq: int, lowpass_filter_width: int = 6, rolloff: float = 0.99, resampling_method: str = 'sinc_interp_hann', beta: Optional[float] = None) → Tensor[source]Ā¶
 
Resamples the waveform at the new frequency using bandlimited interpolation. [Smith, 2020].

 This feature supports the following devices: CPU, CUDA
 This API supports the following properties: Autograd, TorchScript
diff --git a/main/generated/torchaudio.functional.riaa_biquad.html b/main/generated/torchaudio.functional.riaa_biquad.html
index 500add7a498..5becf74912a 100644
--- a/main/generated/torchaudio.functional.riaa_biquad.html
+++ b/main/generated/torchaudio.functional.riaa_biquad.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.riaa_biquad — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.riaa_biquad — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     

     
 
@@ -440,7 +440,7 @@
 
torchaudio.functional.riaa_biquadĀ¶

 

 

-torchaudio.functional.riaa_biquad(waveform: Tensor, sample_rate: int) → Tensor[source]Ā¶

+torchaudio.functional.riaa_biquad(waveform: Tensor, sample_rate: int) → Tensor[source]Ā¶
 
Apply RIAA vinyl playback equalization.  Similar to SoX implementation.

 This feature supports the following devices: CPU, CUDA
 This API supports the following properties: Autograd, TorchScript
diff --git a/main/generated/torchaudio.functional.rnnt_loss.html b/main/generated/torchaudio.functional.rnnt_loss.html
index ad97a29032d..0815410a823 100644
--- a/main/generated/torchaudio.functional.rnnt_loss.html
+++ b/main/generated/torchaudio.functional.rnnt_loss.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.rnnt_loss — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.rnnt_loss — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     

     
 
@@ -440,7 +440,7 @@
 
torchaudio.functional.rnnt_lossĀ¶

 

 

-torchaudio.functional.rnnt_loss(logits: Tensor, targets: Tensor, logit_lengths: Tensor, target_lengths: Tensor, blank: int = -1, clamp: float = -1, reduction: str = 'mean', fused_log_softmax: bool = True)[source]Ā¶

+torchaudio.functional.rnnt_loss(logits: Tensor, targets: Tensor, logit_lengths: Tensor, target_lengths: Tensor, blank: int = -1, clamp: float = -1, reduction: str = 'mean', fused_log_softmax: bool = True)[source]Ā¶
 
Compute the RNN Transducer loss from Sequence Transduction with Recurrent Neural Networks
 [Graves, 2012].

 This feature supports the following devices: CPU, CUDA
diff --git a/main/generated/torchaudio.functional.rtf_evd.html b/main/generated/torchaudio.functional.rtf_evd.html
index 4446465711a..e046b227a04 100644
--- a/main/generated/torchaudio.functional.rtf_evd.html
+++ b/main/generated/torchaudio.functional.rtf_evd.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.rtf_evd — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.rtf_evd — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     

     
 
@@ -440,7 +440,7 @@
 
torchaudio.functional.rtf_evdĀ¶

 

 

-torchaudio.functional.rtf_evd(psd_s: Tensor) → Tensor[source]Ā¶

+torchaudio.functional.rtf_evd(psd_s: Tensor) → Tensor[source]Ā¶
 
Estimate the relative transfer function (RTF) or the steering vector by eigenvalue decomposition.

 This feature supports the following devices: CPU, CUDA
 This API supports the following properties: TorchScript
diff --git a/main/generated/torchaudio.functional.rtf_power.html b/main/generated/torchaudio.functional.rtf_power.html
index ccfb59ce078..343806e023f 100644
--- a/main/generated/torchaudio.functional.rtf_power.html
+++ b/main/generated/torchaudio.functional.rtf_power.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.rtf_power — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.rtf_power — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     

     
 
@@ -440,18 +440,18 @@
 
torchaudio.functional.rtf_powerĀ¶

 

 

-torchaudio.functional.rtf_power(psd_s: Tensor, psd_n: Tensor, reference_channel: Union[int, Tensor], n_iter: int = 3, diagonal_loading: bool = True, diag_eps: float = 1e-07) → Tensor[source]Ā¶

+torchaudio.functional.rtf_power(psd_s: Tensor, psd_n: Tensor, reference_channel: Union[int, Tensor], n_iter: int = 3, diagonal_loading: bool = True, diag_eps: float = 1e-07) → Tensor[source]Ā¶
 
Estimate the relative transfer function (RTF) or the steering vector by the power method.

 This feature supports the following devices: CPU, CUDA
 This API supports the following properties: Autograd, TorchScript
 

 
Parameters:

 
    
-
  • psd_s (torch.Tensor) ā€“ The complex-valued power spectral density (PSD) matrix of target speech.
+
  • psd_s (torch.Tensor) ā€“ The complex-valued power spectral density (PSD) matrix of target speech.
 Tensor with dimensions (ā€¦, freq, channel, channel).
    • 
-
  • psd_n (torch.Tensor) ā€“ The complex-valued power spectral density (PSD) matrix of noise.
+
  • psd_n (torch.Tensor) ā€“ The complex-valued power spectral density (PSD) matrix of noise.
 Tensor with dimensions (ā€¦, freq, channel, channel).
    • 
-
  • reference_channel (int or torch.Tensor) ā€“ Specifies the reference channel.
+
  • reference_channel (int or torch.Tensor) ā€“ Specifies the reference channel.
 If the dtype is int, it represents the reference channel index.
 If the dtype is torch.Tensor, its shape is (ā€¦, channel), where the channel dimension
 is one-hot.
    • 
@@ -466,7 +466,7 @@ 
    torchaudio.functional.rtf_powerReturn type:
-
    torch.Tensor
    
+
    torch.Tensor
    
 
    
 

 

diff --git a/main/generated/torchaudio.functional.sliding_window_cmn.html b/main/generated/torchaudio.functional.sliding_window_cmn.html
index ae55773f971..588408dd601 100644
--- a/main/generated/torchaudio.functional.sliding_window_cmn.html
+++ b/main/generated/torchaudio.functional.sliding_window_cmn.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.sliding_window_cmn — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.sliding_window_cmn — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     

     
 
@@ -440,7 +440,7 @@
 
torchaudio.functional.sliding_window_cmnĀ¶

 

 

-torchaudio.functional.sliding_window_cmn(specgram: Tensor, cmn_window: int = 600, min_cmn_window: int = 100, center: bool = False, norm_vars: bool = False) → Tensor[source]Ā¶

+torchaudio.functional.sliding_window_cmn(specgram: Tensor, cmn_window: int = 600, min_cmn_window: int = 100, center: bool = False, norm_vars: bool = False) → Tensor[source]Ā¶
 
Apply sliding-window cepstral mean (and optionally variance) normalization per utterance.

 This feature supports the following devices: CPU, CUDA
 This API supports the following properties: TorchScript
diff --git a/main/generated/torchaudio.functional.spectral_centroid.html b/main/generated/torchaudio.functional.spectral_centroid.html
index 75ecfd1b323..52e6951c5d2 100644
--- a/main/generated/torchaudio.functional.spectral_centroid.html
+++ b/main/generated/torchaudio.functional.spectral_centroid.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.spectral_centroid — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.spectral_centroid — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     

     
 
@@ -440,7 +440,7 @@
 
torchaudio.functional.spectral_centroidĀ¶

 

 

-torchaudio.functional.spectral_centroid(waveform: Tensor, sample_rate: int, pad: int, window: Tensor, n_fft: int, hop_length: int, win_length: int) → Tensor[source]Ā¶

+torchaudio.functional.spectral_centroid(waveform: Tensor, sample_rate: int, pad: int, window: Tensor, n_fft: int, hop_length: int, win_length: int) → Tensor[source]Ā¶
 
Compute the spectral centroid for each channel along the time axis.

 This feature supports the following devices: CPU, CUDA
 This API supports the following properties: Autograd, TorchScript
diff --git a/main/generated/torchaudio.functional.spectrogram.html b/main/generated/torchaudio.functional.spectrogram.html
index 4a79d78d984..56368957152 100644
--- a/main/generated/torchaudio.functional.spectrogram.html
+++ b/main/generated/torchaudio.functional.spectrogram.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.spectrogram — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.spectrogram — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     

     
 
@@ -440,7 +440,7 @@
 
torchaudio.functional.spectrogramĀ¶

 

 

-torchaudio.functional.spectrogram(waveform: Tensor, pad: int, window: Tensor, n_fft: int, hop_length: int, win_length: int, power: Optional[float], normalized: Union[bool, str], center: bool = True, pad_mode: str = 'reflect', onesided: bool = True, return_complex: Optional[bool] = None) → Tensor[source]Ā¶

+torchaudio.functional.spectrogram(waveform: Tensor, pad: int, window: Tensor, n_fft: int, hop_length: int, win_length: int, power: Optional[float], normalized: Union[bool, str], center: bool = True, pad_mode: str = 'reflect', onesided: bool = True, return_complex: Optional[bool] = None) → Tensor[source]Ā¶
 
Create a spectrogram or a batch of spectrograms from a raw audio signal.
 The spectrogram can be either magnitude-only or complex.

 This feature supports the following devices: CPU, CUDA
diff --git a/main/generated/torchaudio.functional.speed.html b/main/generated/torchaudio.functional.speed.html
index a4eb005cf4a..f4c29eba718 100644
--- a/main/generated/torchaudio.functional.speed.html
+++ b/main/generated/torchaudio.functional.speed.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.speed — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.speed — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     

     
 
@@ -440,18 +440,18 @@
 
torchaudio.functional.speedĀ¶

 

 

-torchaudio.functional.speed(waveform: Tensor, orig_freq: int, factor: float, lengths: Optional[Tensor] = None) → Tuple[Tensor, Optional[Tensor]][source]Ā¶

+torchaudio.functional.speed(waveform: Tensor, orig_freq: int, factor: float, lengths: Optional[Tensor] = None) → Tuple[Tensor, Optional[Tensor]][source]Ā¶
 
Adjusts waveform speed.

 This feature supports the following devices: CPU, CUDA
 This API supports the following properties: Autograd, TorchScript
 

 
Parameters:

 
    
-
  • waveform (torch.Tensor) ā€“ Input signals, with shape (ā€¦, time).
    • 
+
  • waveform (torch.Tensor) ā€“ Input signals, with shape (ā€¦, time).
    • 
 
  • orig_freq (int) ā€“ Original frequency of the signals in waveform.
    • 
 
  • factor (float) ā€“ Factor by which to adjust speed of input. Values greater than 1.0
 compress waveform in time, whereas values less than 1.0 stretch waveform in time.
    • 
-
  • lengths (torch.Tensor or None, optional) ā€“ Valid lengths of signals in waveform, with shape (ā€¦).
+
  • lengths (torch.Tensor or None, optional) ā€“ Valid lengths of signals in waveform, with shape (ā€¦).
 If None, all elements in waveform are treated as valid. (Default: None)
    • 
 

 

@@ -466,7 +466,7 @@ 
torchaudio.functional.speedReturn type:
-
(torch.Tensor, torch.Tensor or None)

+
(torch.Tensor, torch.Tensor or None)

 

 

 

diff --git a/main/generated/torchaudio.functional.treble_biquad.html b/main/generated/torchaudio.functional.treble_biquad.html
index 4c6b0283812..e56fccb4a83 100644
--- a/main/generated/torchaudio.functional.treble_biquad.html
+++ b/main/generated/torchaudio.functional.treble_biquad.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.treble_biquad — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.treble_biquad — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     

     
 
@@ -440,7 +440,7 @@
 
torchaudio.functional.treble_biquadĀ¶

 

 

-torchaudio.functional.treble_biquad(waveform: Tensor, sample_rate: int, gain: float, central_freq: float = 3000, Q: float = 0.707) → Tensor[source]Ā¶

+torchaudio.functional.treble_biquad(waveform: Tensor, sample_rate: int, gain: float, central_freq: float = 3000, Q: float = 0.707) → Tensor[source]Ā¶
 
Design a treble tone-control effect.  Similar to SoX implementation.

 This feature supports the following devices: CPU, CUDA
 This API supports the following properties: Autograd, TorchScript
@@ -449,9 +449,9 @@ 
torchaudio.functional.treble_biquad
 

 
Returns:

diff --git a/main/generated/torchaudio.functional.vad.html b/main/generated/torchaudio.functional.vad.html
index 8e5fd190b72..ef2e665ca84 100644
--- a/main/generated/torchaudio.functional.vad.html
+++ b/main/generated/torchaudio.functional.vad.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.functional.vad — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.functional.vad — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     

     
 
@@ -440,7 +440,7 @@
 
torchaudio.functional.vadĀ¶

 

 

-torchaudio.functional.vad(waveform: Tensor, sample_rate: int, trigger_level: float = 7.0, trigger_time: float = 0.25, search_time: float = 1.0, allowed_gap: float = 0.25, pre_trigger_time: float = 0.0, boot_time: float = 0.35, noise_up_time: float = 0.1, noise_down_time: float = 0.01, noise_reduction_amount: float = 1.35, measure_freq: float = 20.0, measure_duration: Optional[float] = None, measure_smooth_time: float = 0.4, hp_filter_freq: float = 50.0, lp_filter_freq: float = 6000.0, hp_lifter_freq: float = 150.0, lp_lifter_freq: float = 2000.0) → Tensor[source]Ā¶

+torchaudio.functional.vad(waveform: Tensor, sample_rate: int, trigger_level: float = 7.0, trigger_time: float = 0.25, search_time: float = 1.0, allowed_gap: float = 0.25, pre_trigger_time: float = 0.0, boot_time: float = 0.35, noise_up_time: float = 0.1, noise_down_time: float = 0.01, noise_reduction_amount: float = 1.35, measure_freq: float = 20.0, measure_duration: Optional[float] = None, measure_smooth_time: float = 0.4, hp_filter_freq: float = 50.0, lp_filter_freq: float = 6000.0, hp_lifter_freq: float = 150.0, lp_lifter_freq: float = 2000.0) → Tensor[source]Ā¶
 
Voice Activity Detector. Similar to SoX implementation.

 This feature supports the following devices: CPU, CUDA
 This API supports the following properties: TorchScript
diff --git a/main/generated/torchaudio.info.html b/main/generated/torchaudio.info.html
index c076f56fb85..9dfb582a361 100644
--- a/main/generated/torchaudio.info.html
+++ b/main/generated/torchaudio.info.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.info — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.info — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     

     
 
diff --git a/main/generated/torchaudio.io.AudioEffector.html b/main/generated/torchaudio.io.AudioEffector.html
index e2749ed0fa1..7bcf81e9608 100644
--- a/main/generated/torchaudio.io.AudioEffector.html
+++ b/main/generated/torchaudio.io.AudioEffector.html
@@ -10,7 +10,7 @@
 
   
   
-  AudioEffector — Torchaudio 2.2.0.dev20240424 documentation
+  AudioEffector — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     

     
 
@@ -568,7 +568,7 @@ 
apply
 

 

 

-AudioEffector.apply(waveform: Tensor, sample_rate: int, output_sample_rate: Optional[int] = None) → Tensor[source]Ā¶

+AudioEffector.apply(waveform: Tensor, sample_rate: int, output_sample_rate: Optional[int] = None) → Tensor[source]Ā¶
 
Apply the effect and/or codecs to the whole tensor.

 

 
Parameters:

@@ -599,7 +599,7 @@ 
stream
 

 

-AudioEffector.stream(waveform: Tensor, sample_rate: int, frames_per_chunk: int, output_sample_rate: Optional[int] = None) → Iterator[Tensor][source]Ā¶

+AudioEffector.stream(waveform: Tensor, sample_rate: int, frames_per_chunk: int, output_sample_rate: Optional[int] = None) → Iterator[Tensor][source]Ā¶
 
Apply the effect and/or codecs to the given tensor chunk by chunk.

 

 
Parameters:

diff --git a/main/generated/torchaudio.io.StreamReader.html b/main/generated/torchaudio.io.StreamReader.html
index 071101192c9..4318d6ef841 100644
--- a/main/generated/torchaudio.io.StreamReader.html
+++ b/main/generated/torchaudio.io.StreamReader.html
@@ -10,7 +10,7 @@
 
   
   
-  StreamReader — Torchaudio 2.2.0.dev20240424 documentation
+  StreamReader — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     

     
 
diff --git a/main/generated/torchaudio.io.StreamWriter.html b/main/generated/torchaudio.io.StreamWriter.html
index 01577124eb9..9f4a7231f4e 100644
--- a/main/generated/torchaudio.io.StreamWriter.html
+++ b/main/generated/torchaudio.io.StreamWriter.html
@@ -10,7 +10,7 @@
 
   
   
-  StreamWriter — Torchaudio 2.2.0.dev20240424 documentation
+  StreamWriter — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     

     
 
diff --git a/main/generated/torchaudio.io.play_audio.html b/main/generated/torchaudio.io.play_audio.html
index 6534eb2daba..b095c962c4f 100644
--- a/main/generated/torchaudio.io.play_audio.html
+++ b/main/generated/torchaudio.io.play_audio.html
@@ -10,7 +10,7 @@
 
   
   
-  play_audio — Torchaudio 2.2.0.dev20240424 documentation
+  play_audio — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     

     
 
@@ -440,7 +440,7 @@
 
play_audioĀ¶

 

 

-class torchaudio.io.play_audio(waveform: Tensor, sample_rate: Optional[float], device: Optional[str] = None)[source]Ā¶

+class torchaudio.io.play_audio(waveform: Tensor, sample_rate: Optional[float], device: Optional[str] = None)[source]Ā¶
 
Plays audio through specified or available output device.

 

 
Warning

diff --git a/main/generated/torchaudio.list_audio_backends.html b/main/generated/torchaudio.list_audio_backends.html
index 77587930d7d..0d1f7f629d2 100644
--- a/main/generated/torchaudio.list_audio_backends.html
+++ b/main/generated/torchaudio.list_audio_backends.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.list_audio_backends — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.list_audio_backends — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     

     
 
diff --git a/main/generated/torchaudio.load.html b/main/generated/torchaudio.load.html
index 28d9226f4ca..6642c6eefde 100644
--- a/main/generated/torchaudio.load.html
+++ b/main/generated/torchaudio.load.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.load — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.load — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     

     
 
@@ -440,7 +440,7 @@
 
torchaudio.loadĀ¶

 

 

-torchaudio.load(uri: Union[BinaryIO, str, PathLike], frame_offset: int = 0, num_frames: int = -1, normalize: bool = True, channels_first: bool = True, format: Optional[str] = None, buffer_size: int = 4096, backend: Optional[str] = None) → Tuple[Tensor, int]Ā¶

+torchaudio.load(uri: Union[BinaryIO, str, PathLike], frame_offset: int = 0, num_frames: int = -1, normalize: bool = True, channels_first: bool = True, format: Optional[str] = None, buffer_size: int = 4096, backend: Optional[str] = None) → Tuple[Tensor, int]Ā¶
 
Load audio data from source.

 
By default (normalize=True, channels_first=True), this function returns Tensor with
 float32 dtype, and the shape of [channel, time].

@@ -510,7 +510,7 @@ 
torchaudio.loadReturn type:
-
(torch.Tensor, int)

+
(torch.Tensor, int)

 

 

 

diff --git a/main/generated/torchaudio.models.Conformer.html b/main/generated/torchaudio.models.Conformer.html
index 06fbea40596..7ea96e7d005 100644
--- a/main/generated/torchaudio.models.Conformer.html
+++ b/main/generated/torchaudio.models.Conformer.html
@@ -10,7 +10,7 @@
 
   
   
-  Conformer — Torchaudio 2.2.0.dev20240424 documentation
+  Conformer — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     

     
 
@@ -483,12 +483,12 @@ 
forward
 

 

-Conformer.forward(input: Tensor, lengths: Tensor) → Tuple[Tensor, Tensor][source]Ā¶

+Conformer.forward(input: Tensor, lengths: Tensor) → Tuple[Tensor, Tensor][source]Ā¶
 

 
Parameters:

 
    
-
  • input (torch.Tensor) ā€“ with shape (B, T, input_dim).
    • 
-
  • lengths (torch.Tensor) ā€“ with shape (B,) and i-th element representing
+
  • input (torch.Tensor) ā€“ with shape (B, T, input_dim).
    • 
+
  • lengths (torch.Tensor) ā€“ with shape (B,) and i-th element representing
 number of valid frames for i-th batch element in input.
    • 
 

 

diff --git a/main/generated/torchaudio.models.ConvTasNet.html b/main/generated/torchaudio.models.ConvTasNet.html
index f8121ce4ad8..3651de91bd3 100644
--- a/main/generated/torchaudio.models.ConvTasNet.html
+++ b/main/generated/torchaudio.models.ConvTasNet.html
@@ -10,7 +10,7 @@
 
   
   
-  ConvTasNet — Torchaudio 2.2.0.dev20240424 documentation
+  ConvTasNet — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     

     
 
@@ -479,11 +479,11 @@ 
forward
 

 

-ConvTasNet.forward(input: Tensor) → Tensor[source]Ā¶

+ConvTasNet.forward(input: Tensor) → Tensor[source]Ā¶
 
Perform source separation. Generate audio source waveforms.

 

 
Parameters:

-
input (torch.Tensor) ā€“ 3D Tensor with shape [batch, channel==1, frames]

+
input (torch.Tensor) ā€“ 3D Tensor with shape [batch, channel==1, frames]

 

 
Returns:

 
3D Tensor with shape [batch, channel==num_sources, frames]

diff --git a/main/generated/torchaudio.models.DeepSpeech.html b/main/generated/torchaudio.models.DeepSpeech.html
index b94105374ee..017189617fd 100644
--- a/main/generated/torchaudio.models.DeepSpeech.html
+++ b/main/generated/torchaudio.models.DeepSpeech.html
@@ -10,7 +10,7 @@
 
   
   
-  DeepSpeech — Torchaudio 2.2.0.dev20240424 documentation
+  DeepSpeech — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     

     
 
@@ -462,10 +462,10 @@ 
forward
 

 

-DeepSpeech.forward(x: Tensor) → Tensor[source]Ā¶

+DeepSpeech.forward(x: Tensor) → Tensor[source]Ā¶
 

 
Parameters:

-
x (torch.Tensor) ā€“ Tensor of dimension (batch, channel, time, feature).

+
x (torch.Tensor) ā€“ Tensor of dimension (batch, channel, time, feature).

 

 
Returns:

 
Predictor tensor of dimension (batch, time, class).

diff --git a/main/generated/torchaudio.models.Emformer.html b/main/generated/torchaudio.models.Emformer.html
index 2802a7ef127..7ac54d3315e 100644
--- a/main/generated/torchaudio.models.Emformer.html
+++ b/main/generated/torchaudio.models.Emformer.html
@@ -10,7 +10,7 @@
 
   
   
-  Emformer — Torchaudio 2.2.0.dev20240424 documentation
+  Emformer — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     

     
 
@@ -493,7 +493,7 @@ 
forward
 

 

-Emformer.forward(input: Tensor, lengths: Tensor) → Tuple[Tensor, Tensor]Ā¶

+Emformer.forward(input: Tensor, lengths: Tensor) → Tuple[Tensor, Tensor]Ā¶
 
Forward pass for training and non-streaming inference.

 
B: batch size;
 T: max number of input frames in batch;
@@ -501,9 +501,9 @@ 
forward
 
Parameters:

 
    
-
  • input (torch.Tensor) ā€“ utterance frames right-padded with right context frames, with
+
  • input (torch.Tensor) ā€“ utterance frames right-padded with right context frames, with
 shape (B, T + right_context_length, D).
    • 
-
  • lengths (torch.Tensor) ā€“ with shape (B,) and i-th element representing
+
  • lengths (torch.Tensor) ā€“ with shape (B,) and i-th element representing
 number of valid utterance frames for i-th batch element in input.
    • 
 

 

@@ -530,18 +530,18 @@ 
infer
 

 

 

-Emformer.infer(input: Tensor, lengths: Tensor, states: Optional[List[List[Tensor]]] = None) → Tuple[Tensor, Tensor, List[List[Tensor]]]Ā¶

+Emformer.infer(input: Tensor, lengths: Tensor, states: Optional[List[List[Tensor]]] = None) → Tuple[Tensor, Tensor, List[List[Tensor]]]Ā¶
 
Forward pass for streaming inference.

 
B: batch size;
 D: feature dimension of each frame.

 

 
Parameters:

 
    
-
  • input (torch.Tensor) ā€“ utterance frames right-padded with right context frames, with
+
  • input (torch.Tensor) ā€“ utterance frames right-padded with right context frames, with
 shape (B, segment_length + right_context_length, D).
    • 
-
  • lengths (torch.Tensor) ā€“ with shape (B,) and i-th element representing
+
  • lengths (torch.Tensor) ā€“ with shape (B,) and i-th element representing
 number of valid frames for i-th batch element in input.
    • 
-
  • states (List[List[torch.Tensor]] or None, optional) ā€“ list of lists of tensors
+
  • states (List[List[torch.Tensor]] or None, optional) ā€“ list of lists of tensors
 representing internal state generated in preceding invocation of infer. (Default: None)
    • 
 

 

diff --git a/main/generated/torchaudio.models.HDemucs.html b/main/generated/torchaudio.models.HDemucs.html
index f5f7a5c6533..2b9d7d60445 100644
--- a/main/generated/torchaudio.models.HDemucs.html
+++ b/main/generated/torchaudio.models.HDemucs.html
@@ -10,7 +10,7 @@
 
   
   
-  HDemucs — Torchaudio 2.2.0.dev20240424 documentation
+  HDemucs — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     

     
 
@@ -497,11 +497,11 @@ 
forward
 

 

-HDemucs.forward(input: Tensor)[source]Ā¶

+HDemucs.forward(input: Tensor)[source]Ā¶
 
HDemucs forward call

 

 
Parameters:

-
input (torch.Tensor) ā€“ input mixed tensor of shape (batch_size, channel, num_frames)

+
input (torch.Tensor) ā€“ input mixed tensor of shape (batch_size, channel, num_frames)

 

 
Returns:

 

diff --git a/main/generated/torchaudio.models.HuBERTPretrainModel.html b/main/generated/torchaudio.models.HuBERTPretrainModel.html
index ec173cde998..7e7ffacd646 100644
--- a/main/generated/torchaudio.models.HuBERTPretrainModel.html
+++ b/main/generated/torchaudio.models.HuBERTPretrainModel.html
@@ -10,7 +10,7 @@
 
   
   
-  HuBERTPretrainModel — Torchaudio 2.2.0.dev20240424 documentation
+  HuBERTPretrainModel — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     

     
 
@@ -454,8 +454,8 @@ 
HuBERTPretrainModelParameters:
 

@@ -567,7 +567,7 @@ 
transcribe
 

 

-RNNT.transcribe(sources: Tensor, source_lengths: Tensor) → Tuple[Tensor, Tensor][source]Ā¶

+RNNT.transcribe(sources: Tensor, source_lengths: Tensor) → Tuple[Tensor, Tensor][source]Ā¶
 
Applies transcription network to sources in non-streaming mode.

 
B: batch size;
 T: maximum source sequence length in batch;
@@ -575,9 +575,9 @@ 
transcribe
 
Parameters:

 
    
-
  • sources (torch.Tensor) ā€“ source frame sequences right-padded with right context, with
+
  • sources (torch.Tensor) ā€“ source frame sequences right-padded with right context, with
 shape (B, T + right context length, D).
    • 
-
  • source_lengths (torch.Tensor) ā€“ with shape (B,) and i-th element representing
+
  • source_lengths (torch.Tensor) ā€“ with shape (B,) and i-th element representing
 number of valid frames for i-th batch element in sources.
    • 
 

 

@@ -593,7 +593,7 @@ 
transcribeReturn type:
-
(torch.Tensor, torch.Tensor)

+
(torch.Tensor, torch.Tensor)

 

 

 

@@ -605,7 +605,7 @@ 
predict
 

 

-RNNT.predict(targets: Tensor, target_lengths: Tensor, state: Optional[List[List[Tensor]]]) → Tuple[Tensor, Tensor, List[List[Tensor]]][source]Ā¶

+RNNT.predict(targets: Tensor, target_lengths: Tensor, state: Optional[List[List[Tensor]]]) → Tuple[Tensor, Tensor, List[List[Tensor]]][source]Ā¶
 
Applies prediction network to targets.

 
B: batch size;
 U: maximum target sequence length in batch;
@@ -613,11 +613,11 @@ 
predict
 
Parameters:

 
    
-
  • targets (torch.Tensor) ā€“ target sequences, with shape (B, U) and each element
+
  • targets (torch.Tensor) ā€“ target sequences, with shape (B, U) and each element
 mapping to a target symbol, i.e. in range [0, num_symbols).
    • 
-
  • target_lengths (torch.Tensor) ā€“ with shape (B,) and i-th element representing
+
  • target_lengths (torch.Tensor) ā€“ with shape (B,) and i-th element representing
 number of valid frames for i-th batch element in targets.
    • 
-
  • state (List[List[torch.Tensor]] or None) ā€“ list of lists of tensors
+
  • state (List[List[torch.Tensor]] or None) ā€“ list of lists of tensors
 representing internal state generated in preceding invocation
 of predict.
    • 
 

@@ -636,7 +636,7 @@ 
predictReturn type:
-
(torch.Tensor, torch.Tensor, List[List[torch.Tensor]])

+
(torch.Tensor, torch.Tensor, List[List[torch.Tensor]])

 

 

 

@@ -648,7 +648,7 @@ 
joinĀ¶<
 

 

 

-RNNT.join(source_encodings: Tensor, source_lengths: Tensor, target_encodings: Tensor, target_lengths: Tensor) → Tuple[Tensor, Tensor, Tensor][source]Ā¶

+RNNT.join(source_encodings: Tensor, source_lengths: Tensor, target_encodings: Tensor, target_lengths: Tensor) → Tuple[Tensor, Tensor, Tensor][source]Ā¶
 
Applies joint network to source and target encodings.

 
B: batch size;
 T: maximum source sequence length in batch;
@@ -657,12 +657,12 @@ 
joinĀ¶<
 

 
Parameters:

 
    
-
  • source_encodings (torch.Tensor) ā€“ source encoding sequences, with
+
  • source_encodings (torch.Tensor) ā€“ source encoding sequences, with
 shape (B, T, D).
    • 
-
  • source_lengths (torch.Tensor) ā€“ with shape (B,) and i-th element representing
+
  • source_lengths (torch.Tensor) ā€“ with shape (B,) and i-th element representing
 valid sequence length of i-th batch element in source_encodings.
    • 
-
  • target_encodings (torch.Tensor) ā€“ target encoding sequences, with shape (B, U, D).
    • 
-
  • target_lengths (torch.Tensor) ā€“ with shape (B,) and i-th element representing
+
  • target_encodings (torch.Tensor) ā€“ target encoding sequences, with shape (B, U, D).
    • 
+
  • target_lengths (torch.Tensor) ā€“ with shape (B,) and i-th element representing
 valid sequence length of i-th batch element in target_encodings.
    • 
 

 

@@ -680,7 +680,7 @@ 
joinĀ¶<
 

 

 
Return type:

-
(torch.Tensor, torch.Tensor, torch.Tensor)

+
(torch.Tensor, torch.Tensor, torch.Tensor)

 

 

 

diff --git a/main/generated/torchaudio.models.RNNTBeamSearch.html b/main/generated/torchaudio.models.RNNTBeamSearch.html
index 7dba787e80b..9a81304b77a 100644
--- a/main/generated/torchaudio.models.RNNTBeamSearch.html
+++ b/main/generated/torchaudio.models.RNNTBeamSearch.html
@@ -10,7 +10,7 @@
 
   
   
-  RNNTBeamSearch — Torchaudio 2.2.0.dev20240424 documentation
+  RNNTBeamSearch — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     

     
 
@@ -440,7 +440,7 @@
 
RNNTBeamSearchĀ¶

 

 

-class torchaudio.models.RNNTBeamSearch(model: RNNT, blank: int, temperature: float = 1.0, hypo_sort_key: Optional[Callable[[Tuple[List[int], Tensor, List[List[Tensor]], float]], float]] = None, step_max_tokens: int = 100)[source]Ā¶

+class torchaudio.models.RNNTBeamSearch(model: RNNT, blank: int, temperature: float = 1.0, hypo_sort_key: Optional[Callable[[Tuple[List[int], Tensor, List[List[Tensor]], float]], float]] = None, step_max_tokens: int = 100)[source]Ā¶
 
Beam search decoder for RNN-T model.

 

 
See also

@@ -481,15 +481,15 @@ 
forward
 

 

-RNNTBeamSearch.forward(input: Tensor, length: Tensor, beam_width: int) → List[Tuple[List[int], Tensor, List[List[Tensor]], float]][source]Ā¶

+RNNTBeamSearch.forward(input: Tensor, length: Tensor, beam_width: int) → List[Tuple[List[int], Tensor, List[List[Tensor]], float]][source]Ā¶
 
Performs beam search for the given input sequence.

 
T: number of frames;
 D: feature dimension of each frame.

 

 
Parameters:

 
    
-
  • input (torch.Tensor) ā€“ sequence of input frames, with shape (T, D) or (1, T, D).
    • 
-
  • length (torch.Tensor) ā€“ number of valid frames in input
+
  • input (torch.Tensor) ā€“ sequence of input frames, with shape (T, D) or (1, T, D).
    • 
+
  • length (torch.Tensor) ā€“ number of valid frames in input
 sequence, with shape () or (1,).
    • 
 
  • beam_width (int) ā€“ beam size to use during search.
    • 
 

@@ -510,18 +510,18 @@ 
infer
 

 

 

-RNNTBeamSearch.infer(input: Tensor, length: Tensor, beam_width: int, state: Optional[List[List[Tensor]]] = None, hypothesis: Optional[List[Tuple[List[int], Tensor, List[List[Tensor]], float]]] = None) → Tuple[List[Tuple[List[int], Tensor, List[List[Tensor]], float]], List[List[Tensor]]][source]Ā¶

+RNNTBeamSearch.infer(input: Tensor, length: Tensor, beam_width: int, state: Optional[List[List[Tensor]]] = None, hypothesis: Optional[List[Tuple[List[int], Tensor, List[List[Tensor]], float]]] = None) → Tuple[List[Tuple[List[int], Tensor, List[List[Tensor]], float]], List[List[Tensor]]][source]Ā¶
 
Performs beam search for the given input sequence in streaming mode.

 
T: number of frames;
 D: feature dimension of each frame.

 

 
Parameters:

 
    
-
  • input (torch.Tensor) ā€“ sequence of input frames, with shape (T, D) or (1, T, D).
    • 
-
  • length (torch.Tensor) ā€“ number of valid frames in input
+
  • input (torch.Tensor) ā€“ sequence of input frames, with shape (T, D) or (1, T, D).
    • 
+
  • length (torch.Tensor) ā€“ number of valid frames in input
 sequence, with shape () or (1,).
    • 
 
  • beam_width (int) ā€“ beam size to use during search.
    • 
-
  • state (List[List[torch.Tensor]] or None, optional) ā€“ list of lists of tensors
+
  • state (List[List[torch.Tensor]] or None, optional) ā€“ list of lists of tensors
 representing transcription network internal state generated in preceding
 invocation. (Default: None)
    • 
 
  • hypothesis (List[Hypothesis] or None) ā€“ hypotheses from preceding invocation to seed
@@ -539,7 +539,7 @@ 
    infer
 
    
 

 
Return type:

-
(List[Hypothesis], List[List[torch.Tensor]])

+
(List[Hypothesis], List[List[torch.Tensor]])

 

 

 

@@ -557,7 +557,7 @@ 
Hypothesistorchaudio.models.HypothesisĀ¶
 
Hypothesis generated by RNN-T beam search decoder,
 represented as tuple of (tokens, prediction network output, prediction network state, score).

-
alias of Tuple[List[int], Tensor, List[List[Tensor]], float]

+
alias of Tuple[List[int], Tensor, List[List[Tensor]], float]

 

 
 

diff --git a/main/generated/torchaudio.models.SquimObjective.html b/main/generated/torchaudio.models.SquimObjective.html
index c39b33d62fd..5e4650eaf2d 100644
--- a/main/generated/torchaudio.models.SquimObjective.html
+++ b/main/generated/torchaudio.models.SquimObjective.html
@@ -10,7 +10,7 @@
 
   
   
-  SquimObjective — Torchaudio 2.2.0.dev20240424 documentation
+  SquimObjective — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     

     
 
@@ -440,15 +440,15 @@
 
SquimObjectiveĀ¶

 

 

-class torchaudio.models.SquimObjective(encoder: Module, dprnn: Module, branches: ModuleList)[source]Ā¶

+class torchaudio.models.SquimObjective(encoder: Module, dprnn: Module, branches: ModuleList)[source]Ā¶
 
Speech Quality and Intelligibility Measures (SQUIM) model that predicts objective metric scores
 for speech enhancement (e.g., STOI, PESQ, and SI-SDR).

 

 
Parameters:

 
    
-
  • encoder (torch.nn.Module) ā€“ Encoder module to transform 1D waveform to 2D feature representation.
    • 
-
  • dprnn (torch.nn.Module) ā€“ DPRNN module to model sequential feature.
    • 
-
  • branches (torch.nn.ModuleList) ā€“ Transformer branches in which each branch estimate one objective metirc score.
    • 
+
  • encoder (torch.nn.Module) ā€“ Encoder module to transform 1D waveform to 2D feature representation.
    • 
+
  • dprnn (torch.nn.Module) ā€“ DPRNN module to model sequential feature.
    • 
+
  • branches (torch.nn.ModuleList) ā€“ Transformer branches in which each branch estimate one objective metirc score.
    • 
 

 

 

@@ -468,16 +468,16 @@ 
forward
 

 

-SquimObjective.forward(x: Tensor) → List[Tensor][source]Ā¶

+SquimObjective.forward(x: Tensor) → List[Tensor][source]Ā¶
 

 
Parameters:

-
x (torch.Tensor) ā€“ Input waveforms. Tensor with dimensions (batch, time).

+
x (torch.Tensor) ā€“ Input waveforms. Tensor with dimensions (batch, time).

 

 
Returns:

 
List of score Tenosrs. Each Tensor is with dimension (batch,).

 

 
Return type:

-
List(torch.Tensor)

+
List(torch.Tensor)

 

 

 

diff --git a/main/generated/torchaudio.models.SquimSubjective.html b/main/generated/torchaudio.models.SquimSubjective.html
index 1dff4f1f865..0a49ae75cb4 100644
--- a/main/generated/torchaudio.models.SquimSubjective.html
+++ b/main/generated/torchaudio.models.SquimSubjective.html
@@ -10,7 +10,7 @@
 
   
   
-  SquimSubjective — Torchaudio 2.2.0.dev20240424 documentation
+  SquimSubjective — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     

     
 
@@ -440,16 +440,16 @@
 
SquimSubjectiveĀ¶

 

 

-class torchaudio.models.SquimSubjective(ssl_model: Module, projector: Module, predictor: Module)[source]Ā¶

+class torchaudio.models.SquimSubjective(ssl_model: Module, projector: Module, predictor: Module)[source]Ā¶
 
Speech Quality and Intelligibility Measures (SQUIM) model that predicts subjective metric scores
 for speech enhancement (e.g., Mean Opinion Score (MOS)). The model is adopted from NORESQA-MOS
 [Manocha and Kumar, 2022] which predicts MOS scores given the input speech and a non-matching reference.

 

 
Parameters:

 
    
-
  • ssl_model (torch.nn.Module) ā€“ The self-supervised learning model for feature extraction.
    • 
-
  • projector (torch.nn.Module) ā€“ Projection layer that projects SSL feature to a lower dimension.
    • 
-
  • predictor (torch.nn.Module) ā€“ Predict the subjective scores.
    • 
+
  • ssl_model (torch.nn.Module) ā€“ The self-supervised learning model for feature extraction.
    • 
+
  • projector (torch.nn.Module) ā€“ Projection layer that projects SSL feature to a lower dimension.
    • 
+
  • predictor (torch.nn.Module) ā€“ Predict the subjective scores.
    • 
 

 

 

@@ -469,20 +469,20 @@ 
forward
 

 

-SquimSubjective.forward(waveform: Tensor, reference: Tensor)[source]Ā¶

+SquimSubjective.forward(waveform: Tensor, reference: Tensor)[source]Ā¶
 
Predict subjective evaluation metric score.

 

 
Parameters:

 
    
-
  • waveform (torch.Tensor) ā€“ Input waveform for evaluation. Tensor with dimensions (batch, time).
    • 
-
  • reference (torch.Tensor) ā€“ Non-matching clean reference. Tensor with dimensions (batch, time_ref).
    • 
+
  • waveform (torch.Tensor) ā€“ Input waveform for evaluation. Tensor with dimensions (batch, time).
    • 
+
  • reference (torch.Tensor) ā€“ Non-matching clean reference. Tensor with dimensions (batch, time_ref).
    • 
 

 

 
Returns:

 
Subjective metric score. Tensor with dimensions (batch,).

 

 
Return type:

-
(torch.Tensor)

+
(torch.Tensor)

 

 

 

diff --git a/main/generated/torchaudio.models.Tacotron2.html b/main/generated/torchaudio.models.Tacotron2.html
index fe7de58acf7..439ecdc6089 100644
--- a/main/generated/torchaudio.models.Tacotron2.html
+++ b/main/generated/torchaudio.models.Tacotron2.html
@@ -10,7 +10,7 @@
 
   
   
-  Tacotron2 — Torchaudio 2.2.0.dev20240424 documentation
+  Tacotron2 — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     

     
 
@@ -494,7 +494,7 @@ 
forward
 

 

-Tacotron2.forward(tokens: Tensor, token_lengths: Tensor, mel_specgram: Tensor, mel_specgram_lengths: Tensor) → Tuple[Tensor, Tensor, Tensor, Tensor][source]Ā¶

+Tacotron2.forward(tokens: Tensor, token_lengths: Tensor, mel_specgram: Tensor, mel_specgram_lengths: Tensor) → Tuple[Tensor, Tensor, Tensor, Tensor][source]Ā¶
 
Pass the input through the Tacotron2 model. This is in teacher
 forcing mode, which is generally used for training.

 
The input tokens should be padded with zeros to length max of token_lengths.
@@ -536,7 +536,7 @@ 
infer
 

 

 

-Tacotron2.infer(tokens: Tensor, lengths: Optional[Tensor] = None) → Tuple[Tensor, Tensor, Tensor][source]Ā¶

+Tacotron2.infer(tokens: Tensor, lengths: Optional[Tensor] = None) → Tuple[Tensor, Tensor, Tensor][source]Ā¶
 
Using Tacotron2 for inference. The input is a batch of encoded
 sentences (tokens) and its corresponding lengths (lengths). The
 output is the generated mel spectrograms, its corresponding lengths, and
diff --git a/main/generated/torchaudio.models.Wav2Letter.html b/main/generated/torchaudio.models.Wav2Letter.html
index 05ac4c7e69e..d0812d988b2 100644
--- a/main/generated/torchaudio.models.Wav2Letter.html
+++ b/main/generated/torchaudio.models.Wav2Letter.html
@@ -10,7 +10,7 @@
 
   
   
-  Wav2Letter — Torchaudio 2.2.0.dev20240424 documentation
+  Wav2Letter — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     

     
 
@@ -469,10 +469,10 @@ 
forward
 

 

-Wav2Letter.forward(x: Tensor) → Tensor[source]Ā¶

+Wav2Letter.forward(x: Tensor) → Tensor[source]Ā¶
 

 
Parameters:

-
x (torch.Tensor) ā€“ Tensor of dimension (batch_size, num_features, input_length).

+
x (torch.Tensor) ā€“ Tensor of dimension (batch_size, num_features, input_length).

 

 
Returns:

 
Predictor tensor of dimension (batch_size, number_of_classes, input_length).

diff --git a/main/generated/torchaudio.models.Wav2Vec2Model.html b/main/generated/torchaudio.models.Wav2Vec2Model.html
index 3c6b1b63049..4ba8e45369f 100644
--- a/main/generated/torchaudio.models.Wav2Vec2Model.html
+++ b/main/generated/torchaudio.models.Wav2Vec2Model.html
@@ -10,7 +10,7 @@
 
   
   
-  Wav2Vec2Model — Torchaudio 2.2.0.dev20240424 documentation
+  Wav2Vec2Model — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     

     
 
@@ -440,7 +440,7 @@
 
Wav2Vec2ModelĀ¶

 

 

-class torchaudio.models.Wav2Vec2Model(feature_extractor: Module, encoder: Module, aux: Optional[Module] = None)[source]Ā¶

+class torchaudio.models.Wav2Vec2Model(feature_extractor: Module, encoder: Module, aux: Optional[Module] = None)[source]Ā¶
 
Acoustic model used in wav2vec 2.0 [Baevski et al., 2020].

 

 
Note

@@ -456,10 +456,10 @@ 
Wav2Vec2Model
 
Parameters:

 
    
-
  • feature_extractor (torch.nn.Module) ā€“ Feature extractor that extracts feature vectors from raw audio Tensor.
    • 
-
  • encoder (torch.nn.Module) ā€“ Encoder that converts the audio features into the sequence of probability
+
  • feature_extractor (torch.nn.Module) ā€“ Feature extractor that extracts feature vectors from raw audio Tensor.
    • 
+
  • encoder (torch.nn.Module) ā€“ Encoder that converts the audio features into the sequence of probability
 distribution (in negative log-likelihood) over labels.
    • 
-
  • aux (torch.nn.Module or None, optional) ā€“ Auxiliary module. If provided, the output from encoder is passed to this module.
    • 
+
  • aux (torch.nn.Module or None, optional) ā€“ Auxiliary module. If provided, the output from encoder is passed to this module.
    • 
 

 

 

@@ -485,7 +485,7 @@ 
forward
 

 

-Wav2Vec2Model.forward(waveforms: Tensor, lengths: Optional[Tensor] = None) → Tuple[Tensor, Optional[Tensor]][source]Ā¶

+Wav2Vec2Model.forward(waveforms: Tensor, lengths: Optional[Tensor] = None) → Tuple[Tensor, Optional[Tensor]][source]Ā¶
 
Compute the sequence of probability distribution over labels.

 

 
Parameters:

@@ -526,7 +526,7 @@ 
extract_features
 

 

-Wav2Vec2Model.extract_features(waveforms: Tensor, lengths: Optional[Tensor] = None, num_layers: Optional[int] = None) → Tuple[List[Tensor], Optional[Tensor]][source]Ā¶

+Wav2Vec2Model.extract_features(waveforms: Tensor, lengths: Optional[Tensor] = None, num_layers: Optional[int] = None) → Tuple[List[Tensor], Optional[Tensor]][source]Ā¶
 
Extract feature vectors from raw waveforms

 
This returns the list of outputs from the intermediate layers of
 transformer block in encoder.

diff --git a/main/generated/torchaudio.models.WaveRNN.html b/main/generated/torchaudio.models.WaveRNN.html
index af9ee0b2a9f..fe7672544dd 100644
--- a/main/generated/torchaudio.models.WaveRNN.html
+++ b/main/generated/torchaudio.models.WaveRNN.html
@@ -10,7 +10,7 @@
 
   
   
-  WaveRNN — Torchaudio 2.2.0.dev20240424 documentation
+  WaveRNN — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     

     
 
@@ -494,7 +494,7 @@ 
forward
 

 

-WaveRNN.forward(waveform: Tensor, specgram: Tensor) → Tensor[source]Ā¶

+WaveRNN.forward(waveform: Tensor, specgram: Tensor) → Tensor[source]Ā¶
 
Pass the input through the WaveRNN model.

 

 
Parameters:

@@ -519,7 +519,7 @@ 
infer
 

 

 

-WaveRNN.infer(specgram: Tensor, lengths: Optional[Tensor] = None) → Tuple[Tensor, Optional[Tensor]][source]Ā¶

+WaveRNN.infer(specgram: Tensor, lengths: Optional[Tensor] = None) → Tuple[Tensor, Optional[Tensor]][source]Ā¶
 
Inference method of WaveRNN.

 
This function currently only supports multinomial sampling, which assumes the
 network is trained on cross entropy loss.

diff --git a/main/generated/torchaudio.models.conv_tasnet_base.html b/main/generated/torchaudio.models.conv_tasnet_base.html
index 7ab63791d18..b0492d801e3 100644
--- a/main/generated/torchaudio.models.conv_tasnet_base.html
+++ b/main/generated/torchaudio.models.conv_tasnet_base.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.models.conv_tasnet_base — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.models.conv_tasnet_base — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     

     
 
diff --git a/main/generated/torchaudio.models.decoder.CTCDecoder.html b/main/generated/torchaudio.models.decoder.CTCDecoder.html
index 3b9f1486d15..b1a8fae0928 100644
--- a/main/generated/torchaudio.models.decoder.CTCDecoder.html
+++ b/main/generated/torchaudio.models.decoder.CTCDecoder.html
@@ -10,7 +10,7 @@
 
   
   
-  CTCDecoder — Torchaudio 2.2.0.dev20240424 documentation
+  CTCDecoder — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     

     
 
@@ -463,7 +463,7 @@ 
__call__
 

 

-CTCDecoder.__call__(emissions: FloatTensor, lengths: Optional[Tensor] = None) → List[List[CTCHypothesis]][source]Ā¶

+CTCDecoder.__call__(emissions: FloatTensor, lengths: Optional[Tensor] = None) → List[List[CTCHypothesis]][source]Ā¶
 
Performs batched offline decoding.

 

 
Note

diff --git a/main/generated/torchaudio.models.decoder.CUCTCDecoder.html b/main/generated/torchaudio.models.decoder.CUCTCDecoder.html
index 3b4ab91de79..c1140d2d905 100644
--- a/main/generated/torchaudio.models.decoder.CUCTCDecoder.html
+++ b/main/generated/torchaudio.models.decoder.CUCTCDecoder.html
@@ -10,7 +10,7 @@
 
   
   
-  CUCTCDecoder — Torchaudio 2.2.0.dev20240424 documentation
+  CUCTCDecoder — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     

     
 
@@ -463,7 +463,7 @@ 
__call__
 

 

-CUCTCDecoder.__call__(log_prob: Tensor, encoder_out_lens: Tensor)[source]Ā¶

+CUCTCDecoder.__call__(log_prob: Tensor, encoder_out_lens: Tensor)[source]Ā¶
 

 
Parameters:

 
    
diff --git a/main/generated/torchaudio.models.decoder.ctc_decoder.html b/main/generated/torchaudio.models.decoder.ctc_decoder.html
index aa528d26083..874a32c08a0 100644
--- a/main/generated/torchaudio.models.decoder.ctc_decoder.html
+++ b/main/generated/torchaudio.models.decoder.ctc_decoder.html
@@ -10,7 +10,7 @@
 
   
   
-  ctc_decoder — Torchaudio 2.2.0.dev20240424 documentation
+  ctc_decoder — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.models.decoder.cuda_ctc_decoder.html b/main/generated/torchaudio.models.decoder.cuda_ctc_decoder.html
index 15b2d4a7812..3ad6f7b6d6f 100644
--- a/main/generated/torchaudio.models.decoder.cuda_ctc_decoder.html
+++ b/main/generated/torchaudio.models.decoder.cuda_ctc_decoder.html
@@ -10,7 +10,7 @@
 
   
   
-  cuda_ctc_decoder — Torchaudio 2.2.0.dev20240424 documentation
+  cuda_ctc_decoder — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.models.decoder.download_pretrained_files.html b/main/generated/torchaudio.models.decoder.download_pretrained_files.html
index eef37cccc8a..194dd844c85 100644
--- a/main/generated/torchaudio.models.decoder.download_pretrained_files.html
+++ b/main/generated/torchaudio.models.decoder.download_pretrained_files.html
@@ -10,7 +10,7 @@
 
   
   
-  download_pretrained_files — Torchaudio 2.2.0.dev20240424 documentation
+  download_pretrained_files — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.models.emformer_rnnt_base.html b/main/generated/torchaudio.models.emformer_rnnt_base.html
index 282c9543fc8..3a47a337757 100644
--- a/main/generated/torchaudio.models.emformer_rnnt_base.html
+++ b/main/generated/torchaudio.models.emformer_rnnt_base.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.models.emformer_rnnt_base — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.models.emformer_rnnt_base — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.models.emformer_rnnt_model.html b/main/generated/torchaudio.models.emformer_rnnt_model.html
index b7ade1352a5..cd854401955 100644
--- a/main/generated/torchaudio.models.emformer_rnnt_model.html
+++ b/main/generated/torchaudio.models.emformer_rnnt_model.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.models.emformer_rnnt_model — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.models.emformer_rnnt_model — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.models.hdemucs_high.html b/main/generated/torchaudio.models.hdemucs_high.html
index ed0de93957e..462ab58447a 100644
--- a/main/generated/torchaudio.models.hdemucs_high.html
+++ b/main/generated/torchaudio.models.hdemucs_high.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.models.hdemucs_high — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.models.hdemucs_high — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.models.hdemucs_low.html b/main/generated/torchaudio.models.hdemucs_low.html
index 5e1125c3656..b063dcbf128 100644
--- a/main/generated/torchaudio.models.hdemucs_low.html
+++ b/main/generated/torchaudio.models.hdemucs_low.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.models.hdemucs_low — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.models.hdemucs_low — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.models.hdemucs_medium.html b/main/generated/torchaudio.models.hdemucs_medium.html
index 9a67e6ed352..e041bc3c8ac 100644
--- a/main/generated/torchaudio.models.hdemucs_medium.html
+++ b/main/generated/torchaudio.models.hdemucs_medium.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.models.hdemucs_medium — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.models.hdemucs_medium — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.models.hubert_base.html b/main/generated/torchaudio.models.hubert_base.html
index 47fff74a418..33fce761ee0 100644
--- a/main/generated/torchaudio.models.hubert_base.html
+++ b/main/generated/torchaudio.models.hubert_base.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.models.hubert_base — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.models.hubert_base — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.models.hubert_large.html b/main/generated/torchaudio.models.hubert_large.html
index 04e3fb300a5..a1640d92489 100644
--- a/main/generated/torchaudio.models.hubert_large.html
+++ b/main/generated/torchaudio.models.hubert_large.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.models.hubert_large — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.models.hubert_large — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.models.hubert_pretrain_base.html b/main/generated/torchaudio.models.hubert_pretrain_base.html
index 701f2216fd9..4c0e7a3b871 100644
--- a/main/generated/torchaudio.models.hubert_pretrain_base.html
+++ b/main/generated/torchaudio.models.hubert_pretrain_base.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.models.hubert_pretrain_base — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.models.hubert_pretrain_base — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.models.hubert_pretrain_large.html b/main/generated/torchaudio.models.hubert_pretrain_large.html
index b427d4a86a5..741187ea3be 100644
--- a/main/generated/torchaudio.models.hubert_pretrain_large.html
+++ b/main/generated/torchaudio.models.hubert_pretrain_large.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.models.hubert_pretrain_large — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.models.hubert_pretrain_large — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.models.hubert_pretrain_model.html b/main/generated/torchaudio.models.hubert_pretrain_model.html
index ee50bc56b81..48ef7d5d7a1 100644
--- a/main/generated/torchaudio.models.hubert_pretrain_model.html
+++ b/main/generated/torchaudio.models.hubert_pretrain_model.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.models.hubert_pretrain_model — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.models.hubert_pretrain_model — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.models.hubert_pretrain_xlarge.html b/main/generated/torchaudio.models.hubert_pretrain_xlarge.html
index 244650956d5..3cf6164a382 100644
--- a/main/generated/torchaudio.models.hubert_pretrain_xlarge.html
+++ b/main/generated/torchaudio.models.hubert_pretrain_xlarge.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.models.hubert_pretrain_xlarge — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.models.hubert_pretrain_xlarge — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.models.hubert_xlarge.html b/main/generated/torchaudio.models.hubert_xlarge.html
index 7a30068a6c3..432a1554c12 100644
--- a/main/generated/torchaudio.models.hubert_xlarge.html
+++ b/main/generated/torchaudio.models.hubert_xlarge.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.models.hubert_xlarge — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.models.hubert_xlarge — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.models.squim_objective_base.html b/main/generated/torchaudio.models.squim_objective_base.html
index f822f52498b..985de5a0758 100644
--- a/main/generated/torchaudio.models.squim_objective_base.html
+++ b/main/generated/torchaudio.models.squim_objective_base.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.models.squim_objective_base — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.models.squim_objective_base — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.models.squim_objective_model.html b/main/generated/torchaudio.models.squim_objective_model.html
index 741b3351674..d1240617ec4 100644
--- a/main/generated/torchaudio.models.squim_objective_model.html
+++ b/main/generated/torchaudio.models.squim_objective_model.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.models.squim_objective_model — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.models.squim_objective_model — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.models.squim_subjective_base.html b/main/generated/torchaudio.models.squim_subjective_base.html
index 6a0d657c91a..ea9e8e9f4bc 100644
--- a/main/generated/torchaudio.models.squim_subjective_base.html
+++ b/main/generated/torchaudio.models.squim_subjective_base.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.models.squim_subjective_base — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.models.squim_subjective_base — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.models.squim_subjective_model.html b/main/generated/torchaudio.models.squim_subjective_model.html
index 8ab65fd9e89..1b86bf31655 100644
--- a/main/generated/torchaudio.models.squim_subjective_model.html
+++ b/main/generated/torchaudio.models.squim_subjective_model.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.models.squim_subjective_model — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.models.squim_subjective_model — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.models.wav2vec2.utils.import_fairseq_model.html b/main/generated/torchaudio.models.wav2vec2.utils.import_fairseq_model.html
index 3e8aeae9e90..a94d3f1f6cd 100644
--- a/main/generated/torchaudio.models.wav2vec2.utils.import_fairseq_model.html
+++ b/main/generated/torchaudio.models.wav2vec2.utils.import_fairseq_model.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.models.wav2vec2.utils.import_fairseq_model — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.models.wav2vec2.utils.import_fairseq_model — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
@@ -442,12 +442,12 @@
 
    torchaudio.models.wav2vec2.utils.import_fairseq_modelĀ¶
    
 
    
 
    
-torchaudio.models.wav2vec2.utils.import_fairseq_model(original: Module) → Wav2Vec2Model[source]Ā¶
    
+torchaudio.models.wav2vec2.utils.import_fairseq_model(original: Module) → Wav2Vec2Model[source]Ā¶
 
    Builds Wav2Vec2Model from the corresponding model object of
 fairseq.
    
 
    
 
    Parameters:
    
-
    original (torch.nn.Module) ā€“ An instance of fairseqā€™s Wav2Vec2.0 or HuBERT model.
+
    original (torch.nn.Module) ā€“ An instance of fairseqā€™s Wav2Vec2.0 or HuBERT model.
 One of fairseq.models.wav2vec.wav2vec2_asr.Wav2VecEncoder,
 fairseq.models.wav2vec.wav2vec2.Wav2Vec2Model or
 fairseq.models.hubert.hubert_asr.HubertEncoder.
    
diff --git a/main/generated/torchaudio.models.wav2vec2.utils.import_huggingface_model.html b/main/generated/torchaudio.models.wav2vec2.utils.import_huggingface_model.html
index 81f2ec0eea3..7c3d5a1c359 100644
--- a/main/generated/torchaudio.models.wav2vec2.utils.import_huggingface_model.html
+++ b/main/generated/torchaudio.models.wav2vec2.utils.import_huggingface_model.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.models.wav2vec2.utils.import_huggingface_model — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.models.wav2vec2.utils.import_huggingface_model — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
@@ -442,12 +442,12 @@
 
    torchaudio.models.wav2vec2.utils.import_huggingface_modelĀ¶
    
 
    
 
    
-torchaudio.models.wav2vec2.utils.import_huggingface_model(original: Module) → Wav2Vec2Model[source]Ā¶
    
+torchaudio.models.wav2vec2.utils.import_huggingface_model(original: Module) → Wav2Vec2Model[source]Ā¶
 
    Builds Wav2Vec2Model from the corresponding model object of
 Transformers.
    
 
    
 
    Parameters:
    
-
    original (torch.nn.Module) ā€“ An instance of Wav2Vec2ForCTC from transformers.
    
+
    original (torch.nn.Module) ā€“ An instance of Wav2Vec2ForCTC from transformers.
    
 
    
 
    Returns:
    
 
    Imported model.
    
diff --git a/main/generated/torchaudio.models.wav2vec2_base.html b/main/generated/torchaudio.models.wav2vec2_base.html
index 68d07f8f609..2dfccdb3d62 100644
--- a/main/generated/torchaudio.models.wav2vec2_base.html
+++ b/main/generated/torchaudio.models.wav2vec2_base.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.models.wav2vec2_base — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.models.wav2vec2_base — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.models.wav2vec2_large.html b/main/generated/torchaudio.models.wav2vec2_large.html
index e973e1697fc..93aaed16bbb 100644
--- a/main/generated/torchaudio.models.wav2vec2_large.html
+++ b/main/generated/torchaudio.models.wav2vec2_large.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.models.wav2vec2_large — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.models.wav2vec2_large — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.models.wav2vec2_large_lv60k.html b/main/generated/torchaudio.models.wav2vec2_large_lv60k.html
index d680880528b..86b5943236c 100644
--- a/main/generated/torchaudio.models.wav2vec2_large_lv60k.html
+++ b/main/generated/torchaudio.models.wav2vec2_large_lv60k.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.models.wav2vec2_large_lv60k — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.models.wav2vec2_large_lv60k — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.models.wav2vec2_model.html b/main/generated/torchaudio.models.wav2vec2_model.html
index 3aceadd4734..c438e8e9d87 100644
--- a/main/generated/torchaudio.models.wav2vec2_model.html
+++ b/main/generated/torchaudio.models.wav2vec2_model.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.models.wav2vec2_model — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.models.wav2vec2_model — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.models.wav2vec2_xlsr_1b.html b/main/generated/torchaudio.models.wav2vec2_xlsr_1b.html
index db45fdda16f..77c4d78a13c 100644
--- a/main/generated/torchaudio.models.wav2vec2_xlsr_1b.html
+++ b/main/generated/torchaudio.models.wav2vec2_xlsr_1b.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.models.wav2vec2_xlsr_1b — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.models.wav2vec2_xlsr_1b — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.models.wav2vec2_xlsr_2b.html b/main/generated/torchaudio.models.wav2vec2_xlsr_2b.html
index 6b25558ea03..25c74261de3 100644
--- a/main/generated/torchaudio.models.wav2vec2_xlsr_2b.html
+++ b/main/generated/torchaudio.models.wav2vec2_xlsr_2b.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.models.wav2vec2_xlsr_2b — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.models.wav2vec2_xlsr_2b — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.models.wav2vec2_xlsr_300m.html b/main/generated/torchaudio.models.wav2vec2_xlsr_300m.html
index 52041deeb8d..70678d6eafc 100644
--- a/main/generated/torchaudio.models.wav2vec2_xlsr_300m.html
+++ b/main/generated/torchaudio.models.wav2vec2_xlsr_300m.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.models.wav2vec2_xlsr_300m — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.models.wav2vec2_xlsr_300m — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.models.wavlm_base.html b/main/generated/torchaudio.models.wavlm_base.html
index c3f5d6e8ca3..94ecdcd5aa8 100644
--- a/main/generated/torchaudio.models.wavlm_base.html
+++ b/main/generated/torchaudio.models.wavlm_base.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.models.wavlm_base — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.models.wavlm_base — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.models.wavlm_large.html b/main/generated/torchaudio.models.wavlm_large.html
index dc03e6f9b89..b447c7b1441 100644
--- a/main/generated/torchaudio.models.wavlm_large.html
+++ b/main/generated/torchaudio.models.wavlm_large.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.models.wavlm_large — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.models.wavlm_large — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.models.wavlm_model.html b/main/generated/torchaudio.models.wavlm_model.html
index 71bdcd5c85a..58453cc19b3 100644
--- a/main/generated/torchaudio.models.wavlm_model.html
+++ b/main/generated/torchaudio.models.wavlm_model.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.models.wavlm_model — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.models.wavlm_model — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.pipelines.CONVTASNET_BASE_LIBRI2MIX.html b/main/generated/torchaudio.pipelines.CONVTASNET_BASE_LIBRI2MIX.html
index b000f348b01..4078283c9c3 100644
--- a/main/generated/torchaudio.pipelines.CONVTASNET_BASE_LIBRI2MIX.html
+++ b/main/generated/torchaudio.pipelines.CONVTASNET_BASE_LIBRI2MIX.html
@@ -10,7 +10,7 @@
 
   
   
-  CONVTASNET_BASE_LIBRI2MIX — Torchaudio 2.2.0.dev20240424 documentation
+  CONVTASNET_BASE_LIBRI2MIX — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.pipelines.EMFORMER_RNNT_BASE_LIBRISPEECH.html b/main/generated/torchaudio.pipelines.EMFORMER_RNNT_BASE_LIBRISPEECH.html
index 7a13bf70c8d..18f27ff010f 100644
--- a/main/generated/torchaudio.pipelines.EMFORMER_RNNT_BASE_LIBRISPEECH.html
+++ b/main/generated/torchaudio.pipelines.EMFORMER_RNNT_BASE_LIBRISPEECH.html
@@ -10,7 +10,7 @@
 
   
   
-  EMFORMER_RNNT_BASE_LIBRISPEECH — Torchaudio 2.2.0.dev20240424 documentation
+  EMFORMER_RNNT_BASE_LIBRISPEECH — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.pipelines.HDEMUCS_HIGH_MUSDB.html b/main/generated/torchaudio.pipelines.HDEMUCS_HIGH_MUSDB.html
index 47a1e79ca68..6ab45645530 100644
--- a/main/generated/torchaudio.pipelines.HDEMUCS_HIGH_MUSDB.html
+++ b/main/generated/torchaudio.pipelines.HDEMUCS_HIGH_MUSDB.html
@@ -10,7 +10,7 @@
 
   
   
-  HDEMUCS_HIGH_MUSDB — Torchaudio 2.2.0.dev20240424 documentation
+  HDEMUCS_HIGH_MUSDB — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.pipelines.HDEMUCS_HIGH_MUSDB_PLUS.html b/main/generated/torchaudio.pipelines.HDEMUCS_HIGH_MUSDB_PLUS.html
index 86b9a8249a6..d4aca6d4a0f 100644
--- a/main/generated/torchaudio.pipelines.HDEMUCS_HIGH_MUSDB_PLUS.html
+++ b/main/generated/torchaudio.pipelines.HDEMUCS_HIGH_MUSDB_PLUS.html
@@ -10,7 +10,7 @@
 
   
   
-  HDEMUCS_HIGH_MUSDB_PLUS — Torchaudio 2.2.0.dev20240424 documentation
+  HDEMUCS_HIGH_MUSDB_PLUS — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.pipelines.HUBERT_ASR_LARGE.html b/main/generated/torchaudio.pipelines.HUBERT_ASR_LARGE.html
index e0c9339bc67..47a34a6c4d4 100644
--- a/main/generated/torchaudio.pipelines.HUBERT_ASR_LARGE.html
+++ b/main/generated/torchaudio.pipelines.HUBERT_ASR_LARGE.html
@@ -10,7 +10,7 @@
 
   
   
-  HUBERT_ASR_LARGE — Torchaudio 2.2.0.dev20240424 documentation
+  HUBERT_ASR_LARGE — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.pipelines.HUBERT_ASR_XLARGE.html b/main/generated/torchaudio.pipelines.HUBERT_ASR_XLARGE.html
index 147e97b15fb..d6d9687e634 100644
--- a/main/generated/torchaudio.pipelines.HUBERT_ASR_XLARGE.html
+++ b/main/generated/torchaudio.pipelines.HUBERT_ASR_XLARGE.html
@@ -10,7 +10,7 @@
 
   
   
-  HUBERT_ASR_XLARGE — Torchaudio 2.2.0.dev20240424 documentation
+  HUBERT_ASR_XLARGE — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.pipelines.HUBERT_BASE.html b/main/generated/torchaudio.pipelines.HUBERT_BASE.html
index 4c1eaf80426..60fc1c26e76 100644
--- a/main/generated/torchaudio.pipelines.HUBERT_BASE.html
+++ b/main/generated/torchaudio.pipelines.HUBERT_BASE.html
@@ -10,7 +10,7 @@
 
   
   
-  HUBERT_BASE — Torchaudio 2.2.0.dev20240424 documentation
+  HUBERT_BASE — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.pipelines.HUBERT_LARGE.html b/main/generated/torchaudio.pipelines.HUBERT_LARGE.html
index 1f1d515badc..9f5b2491b05 100644
--- a/main/generated/torchaudio.pipelines.HUBERT_LARGE.html
+++ b/main/generated/torchaudio.pipelines.HUBERT_LARGE.html
@@ -10,7 +10,7 @@
 
   
   
-  HUBERT_LARGE — Torchaudio 2.2.0.dev20240424 documentation
+  HUBERT_LARGE — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.pipelines.HUBERT_XLARGE.html b/main/generated/torchaudio.pipelines.HUBERT_XLARGE.html
index f1c87dfd9b7..2fac28652ad 100644
--- a/main/generated/torchaudio.pipelines.HUBERT_XLARGE.html
+++ b/main/generated/torchaudio.pipelines.HUBERT_XLARGE.html
@@ -10,7 +10,7 @@
 
   
   
-  HUBERT_XLARGE — Torchaudio 2.2.0.dev20240424 documentation
+  HUBERT_XLARGE — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.pipelines.MMS_FA.html b/main/generated/torchaudio.pipelines.MMS_FA.html
index fddac8b5991..3592a17264e 100644
--- a/main/generated/torchaudio.pipelines.MMS_FA.html
+++ b/main/generated/torchaudio.pipelines.MMS_FA.html
@@ -10,7 +10,7 @@
 
   
   
-  MMS_FA — Torchaudio 2.2.0.dev20240424 documentation
+  MMS_FA — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.pipelines.RNNTBundle.FeatureExtractor.html b/main/generated/torchaudio.pipelines.RNNTBundle.FeatureExtractor.html
index ab5e0e5dae3..9d297374e10 100644
--- a/main/generated/torchaudio.pipelines.RNNTBundle.FeatureExtractor.html
+++ b/main/generated/torchaudio.pipelines.RNNTBundle.FeatureExtractor.html
@@ -10,7 +10,7 @@
 
   
   
-  RNNTBundle.FeatureExtractor — Torchaudio 2.2.0.dev20240424 documentation
+  RNNTBundle.FeatureExtractor — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
@@ -451,11 +451,11 @@ 
    __call__
 
    
 
    
-abstract FeatureExtractor.__call__(input: Tensor) → Tuple[Tensor, Tensor]Ā¶
    
+abstract FeatureExtractor.__call__(input: Tensor) → Tuple[Tensor, Tensor]Ā¶
 
    Generates features and length output from the given input tensor.
    
 
    
 
    Parameters:
    
-
    input (torch.Tensor) ā€“ input tensor.
    
+
    input (torch.Tensor) ā€“ input tensor.
    
 
    
 
    Returns:
    
 
    
@@ -467,7 +467,7 @@ 
    __call__
 
    
 
    Return type:
    
-
    (torch.Tensor, torch.Tensor)
    
+
    (torch.Tensor, torch.Tensor)
    
 
    
 
    
 
    
diff --git a/main/generated/torchaudio.pipelines.RNNTBundle.TokenProcessor.html b/main/generated/torchaudio.pipelines.RNNTBundle.TokenProcessor.html
index 8f263f8b643..2338d7cfda5 100644
--- a/main/generated/torchaudio.pipelines.RNNTBundle.TokenProcessor.html
+++ b/main/generated/torchaudio.pipelines.RNNTBundle.TokenProcessor.html
@@ -10,7 +10,7 @@
 
   
   
-  RNNTBundle.TokenProcessor — Torchaudio 2.2.0.dev20240424 documentation
+  RNNTBundle.TokenProcessor — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.pipelines.RNNTBundle.html b/main/generated/torchaudio.pipelines.RNNTBundle.html
index b274475d07d..abd27413e2c 100644
--- a/main/generated/torchaudio.pipelines.RNNTBundle.html
+++ b/main/generated/torchaudio.pipelines.RNNTBundle.html
@@ -10,7 +10,7 @@
 
   
   
-  RNNTBundle — Torchaudio 2.2.0.dev20240424 documentation
+  RNNTBundle — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.pipelines.SQUIM_OBJECTIVE.html b/main/generated/torchaudio.pipelines.SQUIM_OBJECTIVE.html
index 6ce26c665a8..ae1f5591070 100644
--- a/main/generated/torchaudio.pipelines.SQUIM_OBJECTIVE.html
+++ b/main/generated/torchaudio.pipelines.SQUIM_OBJECTIVE.html
@@ -10,7 +10,7 @@
 
   
   
-  SQUIM_OBJECTIVE — Torchaudio 2.2.0.dev20240424 documentation
+  SQUIM_OBJECTIVE — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.pipelines.SQUIM_SUBJECTIVE.html b/main/generated/torchaudio.pipelines.SQUIM_SUBJECTIVE.html
index df14aaad9a4..005c18b21d5 100644
--- a/main/generated/torchaudio.pipelines.SQUIM_SUBJECTIVE.html
+++ b/main/generated/torchaudio.pipelines.SQUIM_SUBJECTIVE.html
@@ -10,7 +10,7 @@
 
   
   
-  SQUIM_SUBJECTIVE — Torchaudio 2.2.0.dev20240424 documentation
+  SQUIM_SUBJECTIVE — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.pipelines.SourceSeparationBundle.html b/main/generated/torchaudio.pipelines.SourceSeparationBundle.html
index 2eb8416a898..42d0d1f03de 100644
--- a/main/generated/torchaudio.pipelines.SourceSeparationBundle.html
+++ b/main/generated/torchaudio.pipelines.SourceSeparationBundle.html
@@ -10,7 +10,7 @@
 
   
   
-  SourceSeparationBundle — Torchaudio 2.2.0.dev20240424 documentation
+  SourceSeparationBundle — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
@@ -501,7 +501,7 @@ 
    get_model
 
    
 
    
-SourceSeparationBundle.get_model() → Module[source]Ā¶
    
+SourceSeparationBundle.get_model() → Module[source]Ā¶
 
    Construct the model and load the pretrained weight.
    
 
    
 
diff --git a/main/generated/torchaudio.pipelines.SquimObjectiveBundle.html b/main/generated/torchaudio.pipelines.SquimObjectiveBundle.html
index 9838db108dd..204965ef58b 100644
--- a/main/generated/torchaudio.pipelines.SquimObjectiveBundle.html
+++ b/main/generated/torchaudio.pipelines.SquimObjectiveBundle.html
@@ -10,7 +10,7 @@
 
   
   
-  SquimObjectiveBundle — Torchaudio 2.2.0.dev20240424 documentation
+  SquimObjectiveBundle — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
@@ -502,10 +502,10 @@ 
    get_modelSquimObjectiveBundle.get_model(*, dl_kwargs=None) → SquimObjective[source]Ā¶
 
    Construct the SquimObjective model, and load the pretrained weight.
    
 
    The weight file is downloaded from the internet and cached with
-torch.hub.load_state_dict_from_url()
    
+torch.hub.load_state_dict_from_url()
    
 
    
 
    Parameters:
    
-
    dl_kwargs (dictionary of keyword arguments) ā€“ Passed to torch.hub.load_state_dict_from_url().
    
+
    dl_kwargs (dictionary of keyword arguments) ā€“ Passed to torch.hub.load_state_dict_from_url().
    
 
    
 
    Returns:
    
 
    Variation of SquimObjective.
    
diff --git a/main/generated/torchaudio.pipelines.SquimSubjectiveBundle.html b/main/generated/torchaudio.pipelines.SquimSubjectiveBundle.html
index 9cdf46e920d..0e835c3da31 100644
--- a/main/generated/torchaudio.pipelines.SquimSubjectiveBundle.html
+++ b/main/generated/torchaudio.pipelines.SquimSubjectiveBundle.html
@@ -10,7 +10,7 @@
 
   
   
-  SquimSubjectiveBundle — Torchaudio 2.2.0.dev20240424 documentation
+  SquimSubjectiveBundle — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
@@ -504,10 +504,10 @@ 
    get_modelSquimSubjectiveBundle.get_model(*, dl_kwargs=None) → SquimSubjective[source]Ā¶
 
    Construct the SquimSubjective model, and load the pretrained weight.
    
 
    The weight file is downloaded from the internet and cached with
-torch.hub.load_state_dict_from_url()
    
+torch.hub.load_state_dict_from_url()
    
 
    
 
    Parameters:
    
-
    dl_kwargs (dictionary of keyword arguments) ā€“ Passed to torch.hub.load_state_dict_from_url().
    
+
    dl_kwargs (dictionary of keyword arguments) ā€“ Passed to torch.hub.load_state_dict_from_url().
    
 
    
 
    Returns:
    
 
    Variation of SquimObjective.
    
diff --git a/main/generated/torchaudio.pipelines.TACOTRON2_GRIFFINLIM_CHAR_LJSPEECH.html b/main/generated/torchaudio.pipelines.TACOTRON2_GRIFFINLIM_CHAR_LJSPEECH.html
index d86db6322f4..e65b2f69741 100644
--- a/main/generated/torchaudio.pipelines.TACOTRON2_GRIFFINLIM_CHAR_LJSPEECH.html
+++ b/main/generated/torchaudio.pipelines.TACOTRON2_GRIFFINLIM_CHAR_LJSPEECH.html
@@ -10,7 +10,7 @@
 
   
   
-  TACOTRON2_GRIFFINLIM_CHAR_LJSPEECH — Torchaudio 2.2.0.dev20240424 documentation
+  TACOTRON2_GRIFFINLIM_CHAR_LJSPEECH — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.pipelines.TACOTRON2_GRIFFINLIM_PHONE_LJSPEECH.html b/main/generated/torchaudio.pipelines.TACOTRON2_GRIFFINLIM_PHONE_LJSPEECH.html
index 165a15eda18..56b183cc210 100644
--- a/main/generated/torchaudio.pipelines.TACOTRON2_GRIFFINLIM_PHONE_LJSPEECH.html
+++ b/main/generated/torchaudio.pipelines.TACOTRON2_GRIFFINLIM_PHONE_LJSPEECH.html
@@ -10,7 +10,7 @@
 
   
   
-  TACOTRON2_GRIFFINLIM_PHONE_LJSPEECH — Torchaudio 2.2.0.dev20240424 documentation
+  TACOTRON2_GRIFFINLIM_PHONE_LJSPEECH — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.pipelines.TACOTRON2_WAVERNN_CHAR_LJSPEECH.html b/main/generated/torchaudio.pipelines.TACOTRON2_WAVERNN_CHAR_LJSPEECH.html
index a5b8e7e485f..087c060fc5c 100644
--- a/main/generated/torchaudio.pipelines.TACOTRON2_WAVERNN_CHAR_LJSPEECH.html
+++ b/main/generated/torchaudio.pipelines.TACOTRON2_WAVERNN_CHAR_LJSPEECH.html
@@ -10,7 +10,7 @@
 
   
   
-  TACOTRON2_WAVERNN_CHAR_LJSPEECH — Torchaudio 2.2.0.dev20240424 documentation
+  TACOTRON2_WAVERNN_CHAR_LJSPEECH — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.pipelines.TACOTRON2_WAVERNN_PHONE_LJSPEECH.html b/main/generated/torchaudio.pipelines.TACOTRON2_WAVERNN_PHONE_LJSPEECH.html
index 9e038e4beb6..f8c1ae08c26 100644
--- a/main/generated/torchaudio.pipelines.TACOTRON2_WAVERNN_PHONE_LJSPEECH.html
+++ b/main/generated/torchaudio.pipelines.TACOTRON2_WAVERNN_PHONE_LJSPEECH.html
@@ -10,7 +10,7 @@
 
   
   
-  TACOTRON2_WAVERNN_PHONE_LJSPEECH — Torchaudio 2.2.0.dev20240424 documentation
+  TACOTRON2_WAVERNN_PHONE_LJSPEECH — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.pipelines.Tacotron2TTSBundle.TextProcessor.html b/main/generated/torchaudio.pipelines.Tacotron2TTSBundle.TextProcessor.html
index 8bce776784d..dd70eee3ca0 100644
--- a/main/generated/torchaudio.pipelines.Tacotron2TTSBundle.TextProcessor.html
+++ b/main/generated/torchaudio.pipelines.Tacotron2TTSBundle.TextProcessor.html
@@ -10,7 +10,7 @@
 
   
   
-  Tacotron2TTSBundle.TextProcessor — Torchaudio 2.2.0.dev20240424 documentation
+  Tacotron2TTSBundle.TextProcessor — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
@@ -471,7 +471,7 @@ 
    __call__
 
    
 
    
-abstract TextProcessor.__call__(texts: Union[str, List[str]]) → Tuple[Tensor, Tensor]Ā¶
    
+abstract TextProcessor.__call__(texts: Union[str, List[str]]) → Tuple[Tensor, Tensor]Ā¶
 
    Encode the given (batch of) texts into numerical tensors
    
 
    
 
    Parameters:
    
diff --git a/main/generated/torchaudio.pipelines.Tacotron2TTSBundle.Vocoder.html b/main/generated/torchaudio.pipelines.Tacotron2TTSBundle.Vocoder.html
index ad66f74e07f..033af4d5f8a 100644
--- a/main/generated/torchaudio.pipelines.Tacotron2TTSBundle.Vocoder.html
+++ b/main/generated/torchaudio.pipelines.Tacotron2TTSBundle.Vocoder.html
@@ -10,7 +10,7 @@
 
   
   
-  Tacotron2TTSBundle.Vocoder — Torchaudio 2.2.0.dev20240424 documentation
+  Tacotron2TTSBundle.Vocoder — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
@@ -471,7 +471,7 @@ 
    __call__
 
    
 
    
-abstract Vocoder.__call__(specgrams: Tensor, lengths: Optional[Tensor] = None) → Tuple[Tensor, Optional[Tensor]]Ā¶
    
+abstract Vocoder.__call__(specgrams: Tensor, lengths: Optional[Tensor] = None) → Tuple[Tensor, Optional[Tensor]]Ā¶
 
    Generate waveform from the given input, such as spectrogram
    
 
    
 
    Parameters:
    
diff --git a/main/generated/torchaudio.pipelines.Tacotron2TTSBundle.html b/main/generated/torchaudio.pipelines.Tacotron2TTSBundle.html
index 48b53a3f0eb..bb115f50a94 100644
--- a/main/generated/torchaudio.pipelines.Tacotron2TTSBundle.html
+++ b/main/generated/torchaudio.pipelines.Tacotron2TTSBundle.html
@@ -10,7 +10,7 @@
 
   
   
-  Tacotron2TTSBundle — Torchaudio 2.2.0.dev20240424 documentation
+  Tacotron2TTSBundle — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
@@ -532,7 +532,7 @@ 
    get_tacotron2
 
    Parameters:
    
-
    dl_kwargs (dictionary of keyword arguments) ā€“ Passed to torch.hub.load_state_dict_from_url().
    
+
    dl_kwargs (dictionary of keyword arguments) ā€“ Passed to torch.hub.load_state_dict_from_url().
    
 
    
 
    Returns:
    
 
    The resulting model.
    
@@ -556,10 +556,10 @@ 
    get_text_processortorch.hub.download_url_to_file() is used to downloaded it.
    
+torch.hub.download_url_to_file() is used to downloaded it.
    
 
    
 
    Parameters:
    
-
    dl_kwargs (dictionary of keyword arguments,) ā€“ Passed to torch.hub.download_url_to_file().
    
+
    dl_kwargs (dictionary of keyword arguments,) ā€“ Passed to torch.hub.download_url_to_file().
    
 
    
 
    Returns:
    
 
    A callable which takes a string or a list of strings as input and
@@ -633,10 +633,10 @@ 
    get_vocoderabstract Tacotron2TTSBundle.get_vocoder(*, dl_kwargs=None) → Vocoder[source]Ā¶
 
    Create a vocoder module, based off of either WaveRNN or GriffinLim.
    
 
    If a pre-trained weight file is necessary,
-torch.hub.load_state_dict_from_url() is used to downloaded it.
    
+torch.hub.load_state_dict_from_url() is used to downloaded it.
    
 
    
 
    Parameters:
    
-
    dl_kwargs (dictionary of keyword arguments) ā€“ Passed to torch.hub.load_state_dict_from_url().
    
+
    dl_kwargs (dictionary of keyword arguments) ā€“ Passed to torch.hub.load_state_dict_from_url().
    
 
    
 
    Returns:
    
 
    A vocoder module, which takes spectrogram Tensor and an optional
diff --git a/main/generated/torchaudio.pipelines.VOXPOPULI_ASR_BASE_10K_DE.html b/main/generated/torchaudio.pipelines.VOXPOPULI_ASR_BASE_10K_DE.html
index 22c097078fb..5829c94deba 100644
--- a/main/generated/torchaudio.pipelines.VOXPOPULI_ASR_BASE_10K_DE.html
+++ b/main/generated/torchaudio.pipelines.VOXPOPULI_ASR_BASE_10K_DE.html
@@ -10,7 +10,7 @@
 
   
   
-  VOXPOPULI_ASR_BASE_10K_DE — Torchaudio 2.2.0.dev20240424 documentation
+  VOXPOPULI_ASR_BASE_10K_DE — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.pipelines.VOXPOPULI_ASR_BASE_10K_EN.html b/main/generated/torchaudio.pipelines.VOXPOPULI_ASR_BASE_10K_EN.html
index 39e226b0814..693c6a0bd95 100644
--- a/main/generated/torchaudio.pipelines.VOXPOPULI_ASR_BASE_10K_EN.html
+++ b/main/generated/torchaudio.pipelines.VOXPOPULI_ASR_BASE_10K_EN.html
@@ -10,7 +10,7 @@
 
   
   
-  VOXPOPULI_ASR_BASE_10K_EN — Torchaudio 2.2.0.dev20240424 documentation
+  VOXPOPULI_ASR_BASE_10K_EN — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.pipelines.VOXPOPULI_ASR_BASE_10K_ES.html b/main/generated/torchaudio.pipelines.VOXPOPULI_ASR_BASE_10K_ES.html
index ff6055ed0a0..895122736ad 100644
--- a/main/generated/torchaudio.pipelines.VOXPOPULI_ASR_BASE_10K_ES.html
+++ b/main/generated/torchaudio.pipelines.VOXPOPULI_ASR_BASE_10K_ES.html
@@ -10,7 +10,7 @@
 
   
   
-  VOXPOPULI_ASR_BASE_10K_ES — Torchaudio 2.2.0.dev20240424 documentation
+  VOXPOPULI_ASR_BASE_10K_ES — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.pipelines.VOXPOPULI_ASR_BASE_10K_FR.html b/main/generated/torchaudio.pipelines.VOXPOPULI_ASR_BASE_10K_FR.html
index a24b0caaa64..107dc126ca2 100644
--- a/main/generated/torchaudio.pipelines.VOXPOPULI_ASR_BASE_10K_FR.html
+++ b/main/generated/torchaudio.pipelines.VOXPOPULI_ASR_BASE_10K_FR.html
@@ -10,7 +10,7 @@
 
   
   
-  VOXPOPULI_ASR_BASE_10K_FR — Torchaudio 2.2.0.dev20240424 documentation
+  VOXPOPULI_ASR_BASE_10K_FR — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.pipelines.VOXPOPULI_ASR_BASE_10K_IT.html b/main/generated/torchaudio.pipelines.VOXPOPULI_ASR_BASE_10K_IT.html
index 6f2fedd5183..4932d912756 100644
--- a/main/generated/torchaudio.pipelines.VOXPOPULI_ASR_BASE_10K_IT.html
+++ b/main/generated/torchaudio.pipelines.VOXPOPULI_ASR_BASE_10K_IT.html
@@ -10,7 +10,7 @@
 
   
   
-  VOXPOPULI_ASR_BASE_10K_IT — Torchaudio 2.2.0.dev20240424 documentation
+  VOXPOPULI_ASR_BASE_10K_IT — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_BASE_100H.html b/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_BASE_100H.html
index 030eb842800..c86c328c771 100644
--- a/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_BASE_100H.html
+++ b/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_BASE_100H.html
@@ -10,7 +10,7 @@
 
   
   
-  WAV2VEC2_ASR_BASE_100H — Torchaudio 2.2.0.dev20240424 documentation
+  WAV2VEC2_ASR_BASE_100H — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_BASE_10M.html b/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_BASE_10M.html
index 0d3d01d9a23..5deba980000 100644
--- a/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_BASE_10M.html
+++ b/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_BASE_10M.html
@@ -10,7 +10,7 @@
 
   
   
-  WAV2VEC2_ASR_BASE_10M — Torchaudio 2.2.0.dev20240424 documentation
+  WAV2VEC2_ASR_BASE_10M — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_BASE_960H.html b/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_BASE_960H.html
index dc4b35e9f2a..684a178d9af 100644
--- a/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_BASE_960H.html
+++ b/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_BASE_960H.html
@@ -10,7 +10,7 @@
 
   
   
-  WAV2VEC2_ASR_BASE_960H — Torchaudio 2.2.0.dev20240424 documentation
+  WAV2VEC2_ASR_BASE_960H — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_LARGE_100H.html b/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_LARGE_100H.html
index f64d1f27d8d..00199b9978a 100644
--- a/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_LARGE_100H.html
+++ b/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_LARGE_100H.html
@@ -10,7 +10,7 @@
 
   
   
-  WAV2VEC2_ASR_LARGE_100H — Torchaudio 2.2.0.dev20240424 documentation
+  WAV2VEC2_ASR_LARGE_100H — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_LARGE_10M.html b/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_LARGE_10M.html
index 5fb125a6534..cd9af997405 100644
--- a/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_LARGE_10M.html
+++ b/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_LARGE_10M.html
@@ -10,7 +10,7 @@
 
   
   
-  WAV2VEC2_ASR_LARGE_10M — Torchaudio 2.2.0.dev20240424 documentation
+  WAV2VEC2_ASR_LARGE_10M — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_LARGE_960H.html b/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_LARGE_960H.html
index 550587f582a..f5d6fe46fb4 100644
--- a/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_LARGE_960H.html
+++ b/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_LARGE_960H.html
@@ -10,7 +10,7 @@
 
   
   
-  WAV2VEC2_ASR_LARGE_960H — Torchaudio 2.2.0.dev20240424 documentation
+  WAV2VEC2_ASR_LARGE_960H — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_LARGE_LV60K_100H.html b/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_LARGE_LV60K_100H.html
index 3ba8f07b6e7..7ae59fa5541 100644
--- a/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_LARGE_LV60K_100H.html
+++ b/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_LARGE_LV60K_100H.html
@@ -10,7 +10,7 @@
 
   
   
-  WAV2VEC2_ASR_LARGE_LV60K_100H — Torchaudio 2.2.0.dev20240424 documentation
+  WAV2VEC2_ASR_LARGE_LV60K_100H — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_LARGE_LV60K_10M.html b/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_LARGE_LV60K_10M.html
index 0fca6fe2690..65c7dd4cbc7 100644
--- a/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_LARGE_LV60K_10M.html
+++ b/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_LARGE_LV60K_10M.html
@@ -10,7 +10,7 @@
 
   
   
-  WAV2VEC2_ASR_LARGE_LV60K_10M — Torchaudio 2.2.0.dev20240424 documentation
+  WAV2VEC2_ASR_LARGE_LV60K_10M — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_LARGE_LV60K_960H.html b/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_LARGE_LV60K_960H.html
index 05d0b02c5b3..e3407afbf6b 100644
--- a/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_LARGE_LV60K_960H.html
+++ b/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_LARGE_LV60K_960H.html
@@ -10,7 +10,7 @@
 
   
   
-  WAV2VEC2_ASR_LARGE_LV60K_960H — Torchaudio 2.2.0.dev20240424 documentation
+  WAV2VEC2_ASR_LARGE_LV60K_960H — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.pipelines.WAV2VEC2_BASE.html b/main/generated/torchaudio.pipelines.WAV2VEC2_BASE.html
index e9562ad5fde..eb6d107caa0 100644
--- a/main/generated/torchaudio.pipelines.WAV2VEC2_BASE.html
+++ b/main/generated/torchaudio.pipelines.WAV2VEC2_BASE.html
@@ -10,7 +10,7 @@
 
   
   
-  WAV2VEC2_BASE — Torchaudio 2.2.0.dev20240424 documentation
+  WAV2VEC2_BASE — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.pipelines.WAV2VEC2_LARGE.html b/main/generated/torchaudio.pipelines.WAV2VEC2_LARGE.html
index ee7d802a30b..84b7c89e28d 100644
--- a/main/generated/torchaudio.pipelines.WAV2VEC2_LARGE.html
+++ b/main/generated/torchaudio.pipelines.WAV2VEC2_LARGE.html
@@ -10,7 +10,7 @@
 
   
   
-  WAV2VEC2_LARGE — Torchaudio 2.2.0.dev20240424 documentation
+  WAV2VEC2_LARGE — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.pipelines.WAV2VEC2_LARGE_LV60K.html b/main/generated/torchaudio.pipelines.WAV2VEC2_LARGE_LV60K.html
index 75fa6a3ef11..1c23639f495 100644
--- a/main/generated/torchaudio.pipelines.WAV2VEC2_LARGE_LV60K.html
+++ b/main/generated/torchaudio.pipelines.WAV2VEC2_LARGE_LV60K.html
@@ -10,7 +10,7 @@
 
   
   
-  WAV2VEC2_LARGE_LV60K — Torchaudio 2.2.0.dev20240424 documentation
+  WAV2VEC2_LARGE_LV60K — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.pipelines.WAV2VEC2_XLSR53.html b/main/generated/torchaudio.pipelines.WAV2VEC2_XLSR53.html
index 46acf2522b3..82fed093f99 100644
--- a/main/generated/torchaudio.pipelines.WAV2VEC2_XLSR53.html
+++ b/main/generated/torchaudio.pipelines.WAV2VEC2_XLSR53.html
@@ -10,7 +10,7 @@
 
   
   
-  WAV2VEC2_XLSR53 — Torchaudio 2.2.0.dev20240424 documentation
+  WAV2VEC2_XLSR53 — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.pipelines.WAV2VEC2_XLSR_1B.html b/main/generated/torchaudio.pipelines.WAV2VEC2_XLSR_1B.html
index 3bf7482e985..5e02b2c5db7 100644
--- a/main/generated/torchaudio.pipelines.WAV2VEC2_XLSR_1B.html
+++ b/main/generated/torchaudio.pipelines.WAV2VEC2_XLSR_1B.html
@@ -10,7 +10,7 @@
 
   
   
-  WAV2VEC2_XLSR_1B — Torchaudio 2.2.0.dev20240424 documentation
+  WAV2VEC2_XLSR_1B — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.pipelines.WAV2VEC2_XLSR_2B.html b/main/generated/torchaudio.pipelines.WAV2VEC2_XLSR_2B.html
index 955ab149f8d..e7e2477422d 100644
--- a/main/generated/torchaudio.pipelines.WAV2VEC2_XLSR_2B.html
+++ b/main/generated/torchaudio.pipelines.WAV2VEC2_XLSR_2B.html
@@ -10,7 +10,7 @@
 
   
   
-  WAV2VEC2_XLSR_2B — Torchaudio 2.2.0.dev20240424 documentation
+  WAV2VEC2_XLSR_2B — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.pipelines.WAV2VEC2_XLSR_300M.html b/main/generated/torchaudio.pipelines.WAV2VEC2_XLSR_300M.html
index f84e1168a12..4060e58a224 100644
--- a/main/generated/torchaudio.pipelines.WAV2VEC2_XLSR_300M.html
+++ b/main/generated/torchaudio.pipelines.WAV2VEC2_XLSR_300M.html
@@ -10,7 +10,7 @@
 
   
   
-  WAV2VEC2_XLSR_300M — Torchaudio 2.2.0.dev20240424 documentation
+  WAV2VEC2_XLSR_300M — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.pipelines.WAVLM_BASE.html b/main/generated/torchaudio.pipelines.WAVLM_BASE.html
index a05c8e648f9..ccec5015d0b 100644
--- a/main/generated/torchaudio.pipelines.WAVLM_BASE.html
+++ b/main/generated/torchaudio.pipelines.WAVLM_BASE.html
@@ -10,7 +10,7 @@
 
   
   
-  WAVLM_BASE — Torchaudio 2.2.0.dev20240424 documentation
+  WAVLM_BASE — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.pipelines.WAVLM_BASE_PLUS.html b/main/generated/torchaudio.pipelines.WAVLM_BASE_PLUS.html
index 4e3a07372e1..24d7dfab430 100644
--- a/main/generated/torchaudio.pipelines.WAVLM_BASE_PLUS.html
+++ b/main/generated/torchaudio.pipelines.WAVLM_BASE_PLUS.html
@@ -10,7 +10,7 @@
 
   
   
-  WAVLM_BASE_PLUS — Torchaudio 2.2.0.dev20240424 documentation
+  WAVLM_BASE_PLUS — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.pipelines.WAVLM_LARGE.html b/main/generated/torchaudio.pipelines.WAVLM_LARGE.html
index 4e284e6dd9f..ae5ad60c07f 100644
--- a/main/generated/torchaudio.pipelines.WAVLM_LARGE.html
+++ b/main/generated/torchaudio.pipelines.WAVLM_LARGE.html
@@ -10,7 +10,7 @@
 
   
   
-  WAVLM_LARGE — Torchaudio 2.2.0.dev20240424 documentation
+  WAVLM_LARGE — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.pipelines.Wav2Vec2ASRBundle.html b/main/generated/torchaudio.pipelines.Wav2Vec2ASRBundle.html
index dfaa38ea044..3cec5474f66 100644
--- a/main/generated/torchaudio.pipelines.Wav2Vec2ASRBundle.html
+++ b/main/generated/torchaudio.pipelines.Wav2Vec2ASRBundle.html
@@ -10,7 +10,7 @@
 
   
   
-  Wav2Vec2ASRBundle — Torchaudio 2.2.0.dev20240424 documentation
+  Wav2Vec2ASRBundle — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
@@ -548,13 +548,13 @@ 
    get_model
 
    
 
    
-Wav2Vec2ASRBundle.get_model(*, dl_kwargs=None) → ModuleĀ¶
    
+Wav2Vec2ASRBundle.get_model(*, dl_kwargs=None) → ModuleĀ¶
 
    Construct the model and load the pretrained weight.
    
 
    The weight file is downloaded from the internet and cached with
-torch.hub.load_state_dict_from_url()
    
+torch.hub.load_state_dict_from_url()
    
 
    
 
    Parameters:
    
-
    dl_kwargs (dictionary of keyword arguments) ā€“ Passed to torch.hub.load_state_dict_from_url().
    
+
    dl_kwargs (dictionary of keyword arguments) ā€“ Passed to torch.hub.load_state_dict_from_url().
    
 
    
 
    Returns:
    
 
    Variation of Wav2Vec2Model.
    
diff --git a/main/generated/torchaudio.pipelines.Wav2Vec2Bundle.html b/main/generated/torchaudio.pipelines.Wav2Vec2Bundle.html
index 06c2dbcc8a7..892be6c92f2 100644
--- a/main/generated/torchaudio.pipelines.Wav2Vec2Bundle.html
+++ b/main/generated/torchaudio.pipelines.Wav2Vec2Bundle.html
@@ -10,7 +10,7 @@
 
   
   
-  Wav2Vec2Bundle — Torchaudio 2.2.0.dev20240424 documentation
+  Wav2Vec2Bundle — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
@@ -496,13 +496,13 @@ 
    get_model
 
    
 
    
-Wav2Vec2Bundle.get_model(*, dl_kwargs=None) → Module[source]Ā¶
    
+Wav2Vec2Bundle.get_model(*, dl_kwargs=None) → Module[source]Ā¶
 
    Construct the model and load the pretrained weight.
    
 
    The weight file is downloaded from the internet and cached with
-torch.hub.load_state_dict_from_url()
    
+torch.hub.load_state_dict_from_url()
    
 
    
 
    Parameters:
    
-
    dl_kwargs (dictionary of keyword arguments) ā€“ Passed to torch.hub.load_state_dict_from_url().
    
+
    dl_kwargs (dictionary of keyword arguments) ā€“ Passed to torch.hub.load_state_dict_from_url().
    
 
    
 
    Returns:
    
 
    Variation of Wav2Vec2Model.
    
diff --git a/main/generated/torchaudio.pipelines.Wav2Vec2FABundle.Aligner.html b/main/generated/torchaudio.pipelines.Wav2Vec2FABundle.Aligner.html
index 1caaebd8115..35f2c588641 100644
--- a/main/generated/torchaudio.pipelines.Wav2Vec2FABundle.Aligner.html
+++ b/main/generated/torchaudio.pipelines.Wav2Vec2FABundle.Aligner.html
@@ -10,7 +10,7 @@
 
   
   
-  Wav2Vec2FABundle.Aligner — Torchaudio 2.2.0.dev20240424 documentation
+  Wav2Vec2FABundle.Aligner — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
@@ -451,7 +451,7 @@ 
    __call__
 
    
 
    
-abstract Aligner.__call__(emission: Tensor, tokens: List[List[int]]) → List[List[TokenSpan]]Ā¶
    
+abstract Aligner.__call__(emission: Tensor, tokens: List[List[int]]) → List[List[TokenSpan]]Ā¶
 
    Generate list of time-stamped token sequences
    
 
    
 
    Parameters:
    
diff --git a/main/generated/torchaudio.pipelines.Wav2Vec2FABundle.Tokenizer.html b/main/generated/torchaudio.pipelines.Wav2Vec2FABundle.Tokenizer.html
index 2a7dc8bcc35..5c43f1a3e91 100644
--- a/main/generated/torchaudio.pipelines.Wav2Vec2FABundle.Tokenizer.html
+++ b/main/generated/torchaudio.pipelines.Wav2Vec2FABundle.Tokenizer.html
@@ -10,7 +10,7 @@
 
   
   
-  Wav2Vec2FABundle.Tokenizer — Torchaudio 2.2.0.dev20240424 documentation
+  Wav2Vec2FABundle.Tokenizer — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
diff --git a/main/generated/torchaudio.pipelines.Wav2Vec2FABundle.html b/main/generated/torchaudio.pipelines.Wav2Vec2FABundle.html
index cdb6642f681..502072a3f66 100644
--- a/main/generated/torchaudio.pipelines.Wav2Vec2FABundle.html
+++ b/main/generated/torchaudio.pipelines.Wav2Vec2FABundle.html
@@ -10,7 +10,7 @@
 
   
   
-  Wav2Vec2FABundle — Torchaudio 2.2.0.dev20240424 documentation
+  Wav2Vec2FABundle — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
@@ -600,16 +600,16 @@ 
    get_model
 
    
 
    
-Wav2Vec2FABundle.get_model(with_star: bool = True, *, dl_kwargs=None) → Module[source]Ā¶
    
+Wav2Vec2FABundle.get_model(with_star: bool = True, *, dl_kwargs=None) → Module[source]Ā¶
 
    Construct the model and load the pretrained weight.
    
 
    The weight file is downloaded from the internet and cached with
-torch.hub.load_state_dict_from_url()
    
+torch.hub.load_state_dict_from_url()
    
 
    
 
    Parameters:
    
 
    
 
    
 
    Returns:
    
@@ -617,7 +617,7 @@ 
    get_model
 
    Note
    
 
    The model created with this method returns probability in log-domain,
-(i.e. torch.nn.functional.log_softmax() is applied), whereas
+(i.e. torch.nn.functional.log_softmax() is applied), whereas
 the other Wav2Vec2 models returns logit.
    
 
    
 
    
diff --git a/main/generated/torchaudio.prototype.datasets.Musan.html b/main/generated/torchaudio.prototype.datasets.Musan.html
index 22435e6ade3..d12fad3aa11 100644
--- a/main/generated/torchaudio.prototype.datasets.Musan.html
+++ b/main/generated/torchaudio.prototype.datasets.Musan.html
@@ -10,7 +10,7 @@
 
   
   
-  Musan — Torchaudio 2.2.0.dev20240424 documentation
+  Musan — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
@@ -459,7 +459,7 @@ 
    __getitem__
 
    
 
    
-Musan.__getitem__(n: int) → Tuple[Tensor, int, str][source]Ā¶
    
+Musan.__getitem__(n: int) → Tuple[Tensor, int, str][source]Ā¶
 
    Return the n-th sample in the dataset.
    
 
    
 
    Parameters:
    
@@ -477,7 +477,7 @@ 
    __getitem__Return type:
-
    (torch.Tensor, int, str)
    
+
    (torch.Tensor, int, str)
    
 
    
 
    
 
    
diff --git a/main/generated/torchaudio.prototype.functional.adsr_envelope.html b/main/generated/torchaudio.prototype.functional.adsr_envelope.html
index bf42a9aeb2b..e7e9ded1b85 100644
--- a/main/generated/torchaudio.prototype.functional.adsr_envelope.html
+++ b/main/generated/torchaudio.prototype.functional.adsr_envelope.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.prototype.functional.adsr_envelope — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.prototype.functional.adsr_envelope — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
@@ -442,7 +442,7 @@
 
    torchaudio.prototype.functional.adsr_envelopeĀ¶
    
 
    
 
    
-torchaudio.prototype.functional.adsr_envelope(num_frames: int, *, attack: float = 0.0, hold: float = 0.0, decay: float = 0.0, sustain: float = 1.0, release: float = 0.0, n_decay: int = 2, dtype: Optional[dtype] = None, device: Optional[device] = None)[source]Ā¶
    
+torchaudio.prototype.functional.adsr_envelope(num_frames: int, *, attack: float = 0.0, hold: float = 0.0, decay: float = 0.0, sustain: float = 1.0, release: float = 0.0, n_decay: int = 2, dtype: Optional[dtype] = None, device: Optional[device] = None)[source]Ā¶
 
    Generate ADSR Envelope
    
 This feature supports the following devices: CPU, CUDA
 
    
@@ -467,10 +467,10 @@ 
    torchaudio.prototype.functional.adsr_envelopeint, optional) ā€“ The degree of polynomial decay. Default: 2.
    
 
  • dtype (torch.dpython:type, optional) ā€“ the desired data type of returned tensor.
 Default: if None, uses a global default
-(see torch.set_default_tensor_type()).
    • 
-
  • device (torch.device, optional) ā€“ the desired device of returned tensor.
+(see torch.set_default_tensor_type()).
    • 
+
  • device (torch.device, optional) ā€“ the desired device of returned tensor.
 Default: if None, uses the current device for the default tensor type
-(see torch.set_default_tensor_type()).
+(see torch.set_default_tensor_type()).
 device will be the CPU for CPU tensor types and the current CUDA
 device for CUDA tensor types.
    • 
 

diff --git a/main/generated/torchaudio.prototype.functional.barkscale_fbanks.html b/main/generated/torchaudio.prototype.functional.barkscale_fbanks.html
index 17c8a94ed6d..2a25e74e430 100644
--- a/main/generated/torchaudio.prototype.functional.barkscale_fbanks.html
+++ b/main/generated/torchaudio.prototype.functional.barkscale_fbanks.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.prototype.functional.barkscale_fbanks — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.prototype.functional.barkscale_fbanks — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     

     
 
@@ -442,7 +442,7 @@
 
torchaudio.prototype.functional.barkscale_fbanksĀ¶

 

 

-torchaudio.prototype.functional.barkscale_fbanks(n_freqs: int, f_min: float, f_max: float, n_barks: int, sample_rate: int, bark_scale: str = 'traunmuller') → Tensor[source]Ā¶

+torchaudio.prototype.functional.barkscale_fbanks(n_freqs: int, f_min: float, f_max: float, n_barks: int, sample_rate: int, bark_scale: str = 'traunmuller') → Tensor[source]Ā¶
 
Create a frequency bin conversion matrix.

 This feature supports the following devices: CPU
 This API supports the following properties: TorchScript
@@ -466,7 +466,7 @@ 
torchaudio.prototype.functional.barkscale_fbanksA * barkscale_fbanks(A.size(-1), ...).

 

 
Return type:

-
torch.Tensor

+
torch.Tensor

 

 

 

diff --git a/main/generated/torchaudio.prototype.functional.chroma_filterbank.html b/main/generated/torchaudio.prototype.functional.chroma_filterbank.html
index f4fff2b49d2..5268d9079ad 100644
--- a/main/generated/torchaudio.prototype.functional.chroma_filterbank.html
+++ b/main/generated/torchaudio.prototype.functional.chroma_filterbank.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.prototype.functional.chroma_filterbank — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.prototype.functional.chroma_filterbank — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     

     
 
@@ -462,7 +462,7 @@ 
torchaudio.prototype.functional.chroma_filterbank
Chroma filter bank, with shape (n_freqs, n_chroma).

 

 
Return type:

-
torch.Tensor

+
torch.Tensor

 

 

 

diff --git a/main/generated/torchaudio.prototype.functional.extend_pitch.html b/main/generated/torchaudio.prototype.functional.extend_pitch.html
index 27b17640147..6d08d4cfb8b 100644
--- a/main/generated/torchaudio.prototype.functional.extend_pitch.html
+++ b/main/generated/torchaudio.prototype.functional.extend_pitch.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.prototype.functional.extend_pitch — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.prototype.functional.extend_pitch — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           

             
     

-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     

     
 
@@ -442,7 +442,7 @@
 
torchaudio.prototype.functional.extend_pitchĀ¶

 

 

-torchaudio.prototype.functional.extend_pitch(base: Tensor, pattern: Union[int, List[float], Tensor])[source]Ā¶

+torchaudio.prototype.functional.extend_pitch(base: Tensor, pattern: Union[int, List[float], Tensor])[source]Ā¶
 
Extend the given time series values with multipliers of them.

 This feature supports the following devices: CPU, CUDA
 This API supports the following properties: Autograd, TorchScript
@@ -451,8 +451,8 @@ 
torchaudio.prototype.functional.extend_pitch
 
Parameters:

 
    
-
  • base (torch.Tensor) ā€“ Base time series, like fundamental frequencies (Hz). Shape: (ā€¦, time, 1).
    • 
-
  • pattern (int, list of python:floats or torch.Tensor) ā€“ 
    If int, the number of pitch series after the operation.
+
  • base (torch.Tensor) ā€“ Base time series, like fundamental frequencies (Hz). Shape: (ā€¦, time, 1).
    • 
+
  • pattern (int, list of python:floats or torch.Tensor) ā€“ 
    If int, the number of pitch series after the operation.
 pattern - 1 tones are added, so that the resulting Tensor contains
 up to pattern-th overtones of the given series.
    
 
    If list of float or torch.Tensor, it must be one dimensional,
diff --git a/main/generated/torchaudio.prototype.functional.filter_waveform.html b/main/generated/torchaudio.prototype.functional.filter_waveform.html
index 51a857ac303..7ff0854559c 100644
--- a/main/generated/torchaudio.prototype.functional.filter_waveform.html
+++ b/main/generated/torchaudio.prototype.functional.filter_waveform.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.prototype.functional.filter_waveform — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.prototype.functional.filter_waveform — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
    
             
     
    
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
    
     
 
@@ -442,7 +442,7 @@
 
    torchaudio.prototype.functional.filter_waveformĀ¶
    
 
    
 
    
-torchaudio.prototype.functional.filter_waveform(waveform: Tensor, kernels: Tensor, delay_compensation: int = -1)[source]Ā¶
    
+torchaudio.prototype.functional.filter_waveform(waveform: Tensor, kernels: Tensor, delay_compensation: int = -1)[source]Ā¶
 
    Applies filters along time axis of the given waveform.
    
 
    This function applies the given filters along time axis in the following manner:
    
 
      
diff --git a/main/generated/torchaudio.prototype.functional.frequency_impulse_response.html b/main/generated/torchaudio.prototype.functional.frequency_impulse_response.html
index af23239fff2..1b034e2e0db 100644
--- a/main/generated/torchaudio.prototype.functional.frequency_impulse_response.html
+++ b/main/generated/torchaudio.prototype.functional.frequency_impulse_response.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.prototype.functional.frequency_impulse_response — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.prototype.functional.frequency_impulse_response — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
      
             
     
      
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
      
     
 
diff --git a/main/generated/torchaudio.prototype.functional.oscillator_bank.html b/main/generated/torchaudio.prototype.functional.oscillator_bank.html
index 4ec389a3104..d3b985a092d 100644
--- a/main/generated/torchaudio.prototype.functional.oscillator_bank.html
+++ b/main/generated/torchaudio.prototype.functional.oscillator_bank.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.prototype.functional.oscillator_bank — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.prototype.functional.oscillator_bank — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
      
             
     
      
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
      
     
 
@@ -442,7 +442,7 @@
 
      torchaudio.prototype.functional.oscillator_bankĀ¶
      
 
      
 
      
-torchaudio.prototype.functional.oscillator_bank(frequencies: Tensor, amplitudes: Tensor, sample_rate: float, reduction: str = 'sum', dtype: Optional[dtype] = torch.float64) → Tensor[source]Ā¶
      
+torchaudio.prototype.functional.oscillator_bank(frequencies: Tensor, amplitudes: Tensor, sample_rate: float, reduction: str = 'sum', dtype: Optional[dtype] = torch.float64) → Tensor[source]Ā¶
 
      Synthesize waveform from the given instantaneous frequencies and amplitudes.
      
 This feature supports the following devices: CPU, CUDA
 This API supports the following properties: Autograd, TorchScript
diff --git a/main/generated/torchaudio.prototype.functional.ray_tracing.html b/main/generated/torchaudio.prototype.functional.ray_tracing.html
index 3d710259396..1e017596070 100644
--- a/main/generated/torchaudio.prototype.functional.ray_tracing.html
+++ b/main/generated/torchaudio.prototype.functional.ray_tracing.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.prototype.functional.ray_tracing — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.prototype.functional.ray_tracing — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
      
             
     
      
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
      
     
 
@@ -442,7 +442,7 @@
 
      torchaudio.prototype.functional.ray_tracingĀ¶
      
 
      
 
      
-torchaudio.prototype.functional.ray_tracing(room: Tensor, source: Tensor, mic_array: Tensor, num_rays: int, absorption: Union[float, Tensor] = 0.0, scattering: Union[float, Tensor] = 0.0, mic_radius: float = 0.5, sound_speed: float = 343.0, energy_thres: float = 1e-07, time_thres: float = 10.0, hist_bin_size: float = 0.004) → Tensor[source]Ā¶
      
+torchaudio.prototype.functional.ray_tracing(room: Tensor, source: Tensor, mic_array: Tensor, num_rays: int, absorption: Union[float, Tensor] = 0.0, scattering: Union[float, Tensor] = 0.0, mic_radius: float = 0.5, sound_speed: float = 343.0, energy_thres: float = 1e-07, time_thres: float = 10.0, hist_bin_size: float = 0.004) → Tensor[source]Ā¶
 
      Compute energy histogram via ray tracing.
      
 
      The implementation is based on pyroomacoustics [Scheibler et al., 2018].
      
 
      num_rays rays are casted uniformly in all directions from the source;
@@ -456,11 +456,11 @@ 
      torchaudio.prototype.functional.ray_tracing
 
      Parameters:
      
 
      
 
      
diff --git a/main/generated/torchaudio.prototype.functional.simulate_rir_ism.html b/main/generated/torchaudio.prototype.functional.simulate_rir_ism.html
index fa711c329bb..438f472f7f2 100644
--- a/main/generated/torchaudio.prototype.functional.simulate_rir_ism.html
+++ b/main/generated/torchaudio.prototype.functional.simulate_rir_ism.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.prototype.functional.simulate_rir_ism — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.prototype.functional.simulate_rir_ism — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
      
             
     
      
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
      
     
 
@@ -442,7 +442,7 @@
 
      torchaudio.prototype.functional.simulate_rir_ismĀ¶
      
 
      
 
      
-torchaudio.prototype.functional.simulate_rir_ism(room: Tensor, source: Tensor, mic_array: Tensor, max_order: int, absorption: Union[float, Tensor], output_length: Optional[int] = None, delay_filter_length: int = 81, center_frequency: Optional[Tensor] = None, sound_speed: float = 343.0, sample_rate: float = 16000.0) → Tensor[source]Ā¶
      
+torchaudio.prototype.functional.simulate_rir_ism(room: Tensor, source: Tensor, mic_array: Tensor, max_order: int, absorption: Union[float, Tensor], output_length: Optional[int] = None, delay_filter_length: int = 81, center_frequency: Optional[Tensor] = None, sound_speed: float = 343.0, sample_rate: float = 16000.0) → Tensor[source]Ā¶
 
      Compute Room Impulse Response (RIR) based on the image source method [Allen and Berkley, 1979].
 The implementation is based on pyroomacoustics [Scheibler et al., 2018].
      
 This feature supports the following devices: CPU
@@ -450,12 +450,12 @@ 
      torchaudio.prototype.functional.simulate_rir_ism
 
      Parameters:
      
 
        
-
      • room (torch.Tensor) ā€“ Room coordinates. The shape of room must be (3,) which represents
+
      • room (torch.Tensor) ā€“ Room coordinates. The shape of room must be (3,) which represents
 three dimensions of the room.
        • 
-
      • source (torch.Tensor) ā€“ Sound source coordinates. Tensor with dimensions (3,).
        • 
-
      • mic_array (torch.Tensor) ā€“ Microphone coordinates. Tensor with dimensions (channel, 3).
        • 
+
      • source (torch.Tensor) ā€“ Sound source coordinates. Tensor with dimensions (3,).
        • 
+
      • mic_array (torch.Tensor) ā€“ Microphone coordinates. Tensor with dimensions (channel, 3).
        • 
 
      • max_order (int) ā€“ The maximum number of reflections of the source.
        • 
-
      • absorption (float or torch.Tensor) ā€“ The absorption [Wikipedia contributors, n.d.]
+
      • absorption (float or torch.Tensor) ā€“ The absorption [Wikipedia contributors, n.d.]
 coefficients of wall materials for sound energy.
 If the dtype is float, the absorption coefficient is identical for all walls and
 all frequencies.
@@ -472,7 +472,7 @@ 
        torchaudio.prototype.functional.simulate_rir_ismmax_d is the maximum distance between image sources and microphones.
        
 
        • 
 
      • delay_filter_length (int, optional) ā€“ The filter length for computing sinc function. (Default: 81)
        • 
-
      • center_frequency (torch.Tensor, optional) ā€“ The center frequencies of octave bands for multi-band walls.
+
      • center_frequency (torch.Tensor, optional) ā€“ The center frequencies of octave bands for multi-band walls.
 Only used when absorption is a 2D Tensor.
        • 
 
      • sound_speed (float, optional) ā€“ The speed of sound. (Default: 343.0)
        • 
 
      • sample_rate (float, optional) ā€“ The sample rate of the generated room impulse response signal.
@@ -484,7 +484,7 @@ 
        torchaudio.prototype.functional.simulate_rir_ismReturn type:
-
        (torch.Tensor)
        
+
        (torch.Tensor)
        
 
        
 
      
 
      
diff --git a/main/generated/torchaudio.prototype.functional.sinc_impulse_response.html b/main/generated/torchaudio.prototype.functional.sinc_impulse_response.html
index 443e3913b15..4f4681c5b0c 100644
--- a/main/generated/torchaudio.prototype.functional.sinc_impulse_response.html
+++ b/main/generated/torchaudio.prototype.functional.sinc_impulse_response.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.prototype.functional.sinc_impulse_response — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.prototype.functional.sinc_impulse_response — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
      
             
     
      
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
      
     
 
@@ -442,7 +442,7 @@
 
      torchaudio.prototype.functional.sinc_impulse_responseĀ¶
      
 
      
 
      
-torchaudio.prototype.functional.sinc_impulse_response(cutoff: Tensor, window_size: int = 513, high_pass: bool = False)[source]Ā¶
      
+torchaudio.prototype.functional.sinc_impulse_response(cutoff: Tensor, window_size: int = 513, high_pass: bool = False)[source]Ā¶
 
      Create windowed-sinc impulse response for given cutoff frequencies.
      
 This feature supports the following devices: CPU, CUDA
 This API supports the following properties: Autograd, TorchScript
diff --git a/main/generated/torchaudio.prototype.models.ConformerWav2Vec2PretrainModel.html b/main/generated/torchaudio.prototype.models.ConformerWav2Vec2PretrainModel.html
index 12c8041c9db..be64c1648ee 100644
--- a/main/generated/torchaudio.prototype.models.ConformerWav2Vec2PretrainModel.html
+++ b/main/generated/torchaudio.prototype.models.ConformerWav2Vec2PretrainModel.html
@@ -10,7 +10,7 @@
 
   
   
-  ConformerWav2Vec2PretrainModel — Torchaudio 2.2.0.dev20240424 documentation
+  ConformerWav2Vec2PretrainModel — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
      
             
     
      
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
      
     
 
@@ -442,7 +442,7 @@
 
      ConformerWav2Vec2PretrainModelĀ¶
      
 
      
 
      
-class torchaudio.prototype.models.ConformerWav2Vec2PretrainModel(wav2vec2: Wav2Vec2Model, mask_generator: Module, negative_sampler: Module)[source]Ā¶
      
+class torchaudio.prototype.models.ConformerWav2Vec2PretrainModel(wav2vec2: Wav2Vec2Model, mask_generator: Module, negative_sampler: Module)[source]Ā¶
 
      Conformer Wav2Vec2 pre-train model for training from scratch.
      
 
      
 
      Note
      
@@ -468,7 +468,7 @@ 
      forward
 
      
 
      
-ConformerWav2Vec2PretrainModel.forward(features: Tensor, audio_lengths: Optional[Tensor] = None) → Tuple[Tensor, Optional[Tensor], Tensor, Tensor][source]Ā¶
      
+ConformerWav2Vec2PretrainModel.forward(features: Tensor, audio_lengths: Optional[Tensor] = None) → Tuple[Tensor, Optional[Tensor], Tensor, Tensor][source]Ā¶
 
      
 
      Parameters:
      
 
        
diff --git a/main/generated/torchaudio.prototype.models.ConvEmformer.html b/main/generated/torchaudio.prototype.models.ConvEmformer.html
index a7b16914745..372ac23f796 100644
--- a/main/generated/torchaudio.prototype.models.ConvEmformer.html
+++ b/main/generated/torchaudio.prototype.models.ConvEmformer.html
@@ -10,7 +10,7 @@
 
   
   
-  ConvEmformer — Torchaudio 2.2.0.dev20240424 documentation
+  ConvEmformer — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
        
     
 
@@ -490,7 +490,7 @@ 
        forward
 
        
 
        
-ConvEmformer.forward(input: Tensor, lengths: Tensor) → Tuple[Tensor, Tensor]Ā¶
        
+ConvEmformer.forward(input: Tensor, lengths: Tensor) → Tuple[Tensor, Tensor]Ā¶
 
        Forward pass for training and non-streaming inference.
        
 
        B: batch size;
 T: max number of input frames in batch;
@@ -498,9 +498,9 @@ 
        forward
 
        Parameters:
        
 
          
-
        • input (torch.Tensor) ā€“ utterance frames right-padded with right context frames, with
+
        • input (torch.Tensor) ā€“ utterance frames right-padded with right context frames, with
 shape (B, T + right_context_length, D).
          • 
-
        • lengths (torch.Tensor) ā€“ with shape (B,) and i-th element representing
+
        • lengths (torch.Tensor) ā€“ with shape (B,) and i-th element representing
 number of valid utterance frames for i-th batch element in input.
          • 
 
        
 
        
@@ -527,18 +527,18 @@ 
        infer
 
        
 
        
 
        
-ConvEmformer.infer(input: Tensor, lengths: Tensor, states: Optional[List[List[Tensor]]] = None) → Tuple[Tensor, Tensor, List[List[Tensor]]]Ā¶
        
+ConvEmformer.infer(input: Tensor, lengths: Tensor, states: Optional[List[List[Tensor]]] = None) → Tuple[Tensor, Tensor, List[List[Tensor]]]Ā¶
 
        Forward pass for streaming inference.
        
 
        B: batch size;
 D: feature dimension of each frame.
        
 
        
 
        Parameters:
        
 
          
-
        • input (torch.Tensor) ā€“ utterance frames right-padded with right context frames, with
+
        • input (torch.Tensor) ā€“ utterance frames right-padded with right context frames, with
 shape (B, segment_length + right_context_length, D).
          • 
-
        • lengths (torch.Tensor) ā€“ with shape (B,) and i-th element representing
+
        • lengths (torch.Tensor) ā€“ with shape (B,) and i-th element representing
 number of valid frames for i-th batch element in input.
          • 
-
        • states (List[List[torch.Tensor]] or None, optional) ā€“ list of lists of tensors
+
        • states (List[List[torch.Tensor]] or None, optional) ā€“ list of lists of tensors
 representing internal state generated in preceding invocation of infer. (Default: None)
          • 
 
        
 
        
diff --git a/main/generated/torchaudio.prototype.models.HiFiGANVocoder.html b/main/generated/torchaudio.prototype.models.HiFiGANVocoder.html
index 2d108671afe..648e0a4d23f 100644
--- a/main/generated/torchaudio.prototype.models.HiFiGANVocoder.html
+++ b/main/generated/torchaudio.prototype.models.HiFiGANVocoder.html
@@ -10,7 +10,7 @@
 
   
   
-  HiFiGANVocoder — Torchaudio 2.2.0.dev20240424 documentation
+  HiFiGANVocoder — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
        
     
 
@@ -476,7 +476,7 @@ 
        forward
 
        
 
        
-HiFiGANVocoder.forward(x: Tensor) → Tensor[source]Ā¶
        
+HiFiGANVocoder.forward(x: Tensor) → Tensor[source]Ā¶
 
        
 
        Parameters:
        
 
        x (Tensor) ā€“ Feature input tensor of shape (batch_size, num_channels, time_length).
        
diff --git a/main/generated/torchaudio.prototype.models.conformer_rnnt_base.html b/main/generated/torchaudio.prototype.models.conformer_rnnt_base.html
index 1cb0189c750..321c0d4235e 100644
--- a/main/generated/torchaudio.prototype.models.conformer_rnnt_base.html
+++ b/main/generated/torchaudio.prototype.models.conformer_rnnt_base.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.prototype.models.conformer_rnnt_base — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.prototype.models.conformer_rnnt_base — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
        
     
 
diff --git a/main/generated/torchaudio.prototype.models.conformer_rnnt_model.html b/main/generated/torchaudio.prototype.models.conformer_rnnt_model.html
index f63202c7e34..b5fe55d4412 100644
--- a/main/generated/torchaudio.prototype.models.conformer_rnnt_model.html
+++ b/main/generated/torchaudio.prototype.models.conformer_rnnt_model.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.prototype.models.conformer_rnnt_model — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.prototype.models.conformer_rnnt_model — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
        
     
 
diff --git a/main/generated/torchaudio.prototype.models.conformer_wav2vec2_base.html b/main/generated/torchaudio.prototype.models.conformer_wav2vec2_base.html
index f921d774ec1..e4708b2a1b9 100644
--- a/main/generated/torchaudio.prototype.models.conformer_wav2vec2_base.html
+++ b/main/generated/torchaudio.prototype.models.conformer_wav2vec2_base.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.prototype.models.conformer_wav2vec2_base — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.prototype.models.conformer_wav2vec2_base — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
        
     
 
diff --git a/main/generated/torchaudio.prototype.models.conformer_wav2vec2_model.html b/main/generated/torchaudio.prototype.models.conformer_wav2vec2_model.html
index 692fcbf1d67..308d0c66e8e 100644
--- a/main/generated/torchaudio.prototype.models.conformer_wav2vec2_model.html
+++ b/main/generated/torchaudio.prototype.models.conformer_wav2vec2_model.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.prototype.models.conformer_wav2vec2_model — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.prototype.models.conformer_wav2vec2_model — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
        
     
 
diff --git a/main/generated/torchaudio.prototype.models.conformer_wav2vec2_pretrain_base.html b/main/generated/torchaudio.prototype.models.conformer_wav2vec2_pretrain_base.html
index 2b477d66fe7..49a20b7397c 100644
--- a/main/generated/torchaudio.prototype.models.conformer_wav2vec2_pretrain_base.html
+++ b/main/generated/torchaudio.prototype.models.conformer_wav2vec2_pretrain_base.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.prototype.models.conformer_wav2vec2_pretrain_base — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.prototype.models.conformer_wav2vec2_pretrain_base — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
        
     
 
diff --git a/main/generated/torchaudio.prototype.models.conformer_wav2vec2_pretrain_large.html b/main/generated/torchaudio.prototype.models.conformer_wav2vec2_pretrain_large.html
index 41279b782a9..6af152303d2 100644
--- a/main/generated/torchaudio.prototype.models.conformer_wav2vec2_pretrain_large.html
+++ b/main/generated/torchaudio.prototype.models.conformer_wav2vec2_pretrain_large.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.prototype.models.conformer_wav2vec2_pretrain_large — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.prototype.models.conformer_wav2vec2_pretrain_large — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
        
     
 
diff --git a/main/generated/torchaudio.prototype.models.conformer_wav2vec2_pretrain_model.html b/main/generated/torchaudio.prototype.models.conformer_wav2vec2_pretrain_model.html
index 92ed0a85a84..6f5b30a74a5 100644
--- a/main/generated/torchaudio.prototype.models.conformer_wav2vec2_pretrain_model.html
+++ b/main/generated/torchaudio.prototype.models.conformer_wav2vec2_pretrain_model.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.prototype.models.conformer_wav2vec2_pretrain_model — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.prototype.models.conformer_wav2vec2_pretrain_model — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
        
     
 
diff --git a/main/generated/torchaudio.prototype.models.emformer_hubert_base.html b/main/generated/torchaudio.prototype.models.emformer_hubert_base.html
index 0ee463a052a..0037027de20 100644
--- a/main/generated/torchaudio.prototype.models.emformer_hubert_base.html
+++ b/main/generated/torchaudio.prototype.models.emformer_hubert_base.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.prototype.models.emformer_hubert_base — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.prototype.models.emformer_hubert_base — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
        
     
 
diff --git a/main/generated/torchaudio.prototype.models.emformer_hubert_model.html b/main/generated/torchaudio.prototype.models.emformer_hubert_model.html
index 360e7b05937..10b35371bb1 100644
--- a/main/generated/torchaudio.prototype.models.emformer_hubert_model.html
+++ b/main/generated/torchaudio.prototype.models.emformer_hubert_model.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.prototype.models.emformer_hubert_model — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.prototype.models.emformer_hubert_model — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
        
     
 
diff --git a/main/generated/torchaudio.prototype.models.hifigan_vocoder.html b/main/generated/torchaudio.prototype.models.hifigan_vocoder.html
index 7ddca3a6638..04aa97f25de 100644
--- a/main/generated/torchaudio.prototype.models.hifigan_vocoder.html
+++ b/main/generated/torchaudio.prototype.models.hifigan_vocoder.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.prototype.models.hifigan_vocoder — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.prototype.models.hifigan_vocoder — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
        
     
 
diff --git a/main/generated/torchaudio.prototype.models.hifigan_vocoder_v1.html b/main/generated/torchaudio.prototype.models.hifigan_vocoder_v1.html
index 6e499ec937d..003fbbdc67d 100644
--- a/main/generated/torchaudio.prototype.models.hifigan_vocoder_v1.html
+++ b/main/generated/torchaudio.prototype.models.hifigan_vocoder_v1.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.prototype.models.hifigan_vocoder_v1 — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.prototype.models.hifigan_vocoder_v1 — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
        
     
 
diff --git a/main/generated/torchaudio.prototype.models.hifigan_vocoder_v2.html b/main/generated/torchaudio.prototype.models.hifigan_vocoder_v2.html
index f3c0e99f5b8..ae14c5a6637 100644
--- a/main/generated/torchaudio.prototype.models.hifigan_vocoder_v2.html
+++ b/main/generated/torchaudio.prototype.models.hifigan_vocoder_v2.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.prototype.models.hifigan_vocoder_v2 — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.prototype.models.hifigan_vocoder_v2 — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
        
     
 
diff --git a/main/generated/torchaudio.prototype.models.hifigan_vocoder_v3.html b/main/generated/torchaudio.prototype.models.hifigan_vocoder_v3.html
index db1a750b1aa..778cdc63c2c 100644
--- a/main/generated/torchaudio.prototype.models.hifigan_vocoder_v3.html
+++ b/main/generated/torchaudio.prototype.models.hifigan_vocoder_v3.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.prototype.models.hifigan_vocoder_v3 — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.prototype.models.hifigan_vocoder_v3 — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
        
     
 
diff --git a/main/generated/torchaudio.prototype.pipelines.EMFORMER_RNNT_BASE_MUSTC.html b/main/generated/torchaudio.prototype.pipelines.EMFORMER_RNNT_BASE_MUSTC.html
index 08655af8d22..4622182ec26 100644
--- a/main/generated/torchaudio.prototype.pipelines.EMFORMER_RNNT_BASE_MUSTC.html
+++ b/main/generated/torchaudio.prototype.pipelines.EMFORMER_RNNT_BASE_MUSTC.html
@@ -10,7 +10,7 @@
 
   
   
-  EMFORMER_RNNT_BASE_MUSTC — Torchaudio 2.2.0.dev20240424 documentation
+  EMFORMER_RNNT_BASE_MUSTC — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
        
     
 
diff --git a/main/generated/torchaudio.prototype.pipelines.EMFORMER_RNNT_BASE_TEDLIUM3.html b/main/generated/torchaudio.prototype.pipelines.EMFORMER_RNNT_BASE_TEDLIUM3.html
index 259a30e6c36..ba650fff6eb 100644
--- a/main/generated/torchaudio.prototype.pipelines.EMFORMER_RNNT_BASE_TEDLIUM3.html
+++ b/main/generated/torchaudio.prototype.pipelines.EMFORMER_RNNT_BASE_TEDLIUM3.html
@@ -10,7 +10,7 @@
 
   
   
-  EMFORMER_RNNT_BASE_TEDLIUM3 — Torchaudio 2.2.0.dev20240424 documentation
+  EMFORMER_RNNT_BASE_TEDLIUM3 — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
        
     
 
diff --git a/main/generated/torchaudio.prototype.pipelines.HIFIGAN_VOCODER_V3_LJSPEECH.html b/main/generated/torchaudio.prototype.pipelines.HIFIGAN_VOCODER_V3_LJSPEECH.html
index 6e084dd581b..d01defef6b3 100644
--- a/main/generated/torchaudio.prototype.pipelines.HIFIGAN_VOCODER_V3_LJSPEECH.html
+++ b/main/generated/torchaudio.prototype.pipelines.HIFIGAN_VOCODER_V3_LJSPEECH.html
@@ -10,7 +10,7 @@
 
   
   
-  HIFIGAN_VOCODER_V3_LJSPEECH — Torchaudio 2.2.0.dev20240424 documentation
+  HIFIGAN_VOCODER_V3_LJSPEECH — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
        
     
 
diff --git a/main/generated/torchaudio.prototype.pipelines.HiFiGANVocoderBundle.html b/main/generated/torchaudio.prototype.pipelines.HiFiGANVocoderBundle.html
index 3d4d5dc3fec..ba72069ebbf 100644
--- a/main/generated/torchaudio.prototype.pipelines.HiFiGANVocoderBundle.html
+++ b/main/generated/torchaudio.prototype.pipelines.HiFiGANVocoderBundle.html
@@ -10,7 +10,7 @@
 
   
   
-  HiFiGANVocoderBundle — Torchaudio 2.2.0.dev20240424 documentation
+  HiFiGANVocoderBundle — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
        
     
 
@@ -529,7 +529,7 @@ 
        get_mel_transform
 
        
 
        
-HiFiGANVocoderBundle.get_mel_transform() → Module[source]Ā¶
        
+HiFiGANVocoderBundle.get_mel_transform() → Module[source]Ā¶
 
        Construct an object which transforms waveforms into mel spectrograms.
        
 
        
 
@@ -543,10 +543,10 @@ 
        get_vocoderHiFiGANVocoderBundle.get_vocoder(*, dl_kwargs=None) → HiFiGANVocoder[source]Ā¶
 
        Construct the HiFiGAN Generator model, which can be used a vocoder, and load the pretrained weight.
        
 
        The weight file is downloaded from the internet and cached with
-torch.hub.load_state_dict_from_url()
        
+torch.hub.load_state_dict_from_url()
        
 
        
 
        Parameters:
        
-
        dl_kwargs (dictionary of keyword arguments) ā€“ Passed to torch.hub.load_state_dict_from_url().
        
+
        dl_kwargs (dictionary of keyword arguments) ā€“ Passed to torch.hub.load_state_dict_from_url().
        
 
        
 
        Returns:
        
 
        Variation of HiFiGANVocoder.
        
diff --git a/main/generated/torchaudio.prototype.pipelines.VGGISH.html b/main/generated/torchaudio.prototype.pipelines.VGGISH.html
index 9d53698f840..2b7dc943c0d 100644
--- a/main/generated/torchaudio.prototype.pipelines.VGGISH.html
+++ b/main/generated/torchaudio.prototype.pipelines.VGGISH.html
@@ -10,7 +10,7 @@
 
   
   
-  VGGISH — Torchaudio 2.2.0.dev20240424 documentation
+  VGGISH — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
        
     
 
diff --git a/main/generated/torchaudio.prototype.pipelines.VGGishBundle.VGGish.html b/main/generated/torchaudio.prototype.pipelines.VGGishBundle.VGGish.html
index 880904188c4..b9a7d7c8384 100644
--- a/main/generated/torchaudio.prototype.pipelines.VGGishBundle.VGGish.html
+++ b/main/generated/torchaudio.prototype.pipelines.VGGishBundle.VGGish.html
@@ -10,7 +10,7 @@
 
   
   
-  VGGishBundle.VGGish — Torchaudio 2.2.0.dev20240424 documentation
+  VGGishBundle.VGGish — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
        
     
 
@@ -453,16 +453,16 @@ 
        forward
 
        
 
        
-VGGish.forward(input: Tensor) → TensorĀ¶
        
+VGGish.forward(input: Tensor) → TensorĀ¶
 
        
 
        Parameters:
        
-
        input (torch.Tensor) ā€“ batch of spectrograms, with shape (n_example, 1, n_frame, 64).
        
+
        input (torch.Tensor) ā€“ batch of spectrograms, with shape (n_example, 1, n_frame, 64).
        
 
        
 
        Returns:
        
 
        model output, with shape (n_example, 128).
        
 
        
 
        Return type:
        
-
        torch.Tensor
        
+
        torch.Tensor
        
 
        
 
        
 
        
diff --git a/main/generated/torchaudio.prototype.pipelines.VGGishBundle.VGGishInputProcessor.html b/main/generated/torchaudio.prototype.pipelines.VGGishBundle.VGGishInputProcessor.html
index f6a343d2ebb..42eb9aa3871 100644
--- a/main/generated/torchaudio.prototype.pipelines.VGGishBundle.VGGishInputProcessor.html
+++ b/main/generated/torchaudio.prototype.pipelines.VGGishBundle.VGGishInputProcessor.html
@@ -10,7 +10,7 @@
 
   
   
-  VGGishBundle.VGGishInputProcessor — Torchaudio 2.2.0.dev20240424 documentation
+  VGGishBundle.VGGishInputProcessor — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
        
     
 
@@ -453,11 +453,11 @@ 
        __call__
 
        
 
        
-VGGishInputProcessor.__call__(input: Tensor) → TensorĀ¶
        
+VGGishInputProcessor.__call__(input: Tensor) → TensorĀ¶
 
        
 
        Parameters:
        
 
          
-
        • input (torch.Tensor) ā€“ waveform, with shape (T,).
          • 
+
        • input (torch.Tensor) ā€“ waveform, with shape (T,).
          • 
 
        • sample_rate (int) ā€“ sample rate of waveform in hertz.
          • 
 
        
 
        
@@ -465,7 +465,7 @@ 
        __call__
        batch of examples to pass to VGGish, with shape (n_example, 1, n_frame, 64).
        
 
        
 
        Return type:
        
-
        torch.Tensor
        
+
        torch.Tensor
        
 
        
 
        
 
        
diff --git a/main/generated/torchaudio.prototype.pipelines.VGGishBundle.html b/main/generated/torchaudio.prototype.pipelines.VGGishBundle.html
index e2d057b60bc..6b9b498cf4b 100644
--- a/main/generated/torchaudio.prototype.pipelines.VGGishBundle.html
+++ b/main/generated/torchaudio.prototype.pipelines.VGGishBundle.html
@@ -10,7 +10,7 @@
 
   
   
-  VGGishBundle — Torchaudio 2.2.0.dev20240424 documentation
+  VGGishBundle — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
        
     
 
diff --git a/main/generated/torchaudio.prototype.transforms.BarkScale.html b/main/generated/torchaudio.prototype.transforms.BarkScale.html
index 7944e086043..5e75549a6fe 100644
--- a/main/generated/torchaudio.prototype.transforms.BarkScale.html
+++ b/main/generated/torchaudio.prototype.transforms.BarkScale.html
@@ -10,7 +10,7 @@
 
   
   
-  BarkScale — Torchaudio 2.2.0.dev20240424 documentation
+  BarkScale — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
        
     
 
@@ -477,16 +477,16 @@ 
        BarkScale
 
        
-forward(specgram: Tensor) → Tensor[source]Ā¶
        
+forward(specgram: Tensor) → Tensor[source]Ā¶
 
        
 
        Parameters:
        
-
        specgram (torch.Tensor) ā€“ A spectrogram STFT of dimension (ā€¦, freq, time).
        
+
        specgram (torch.Tensor) ā€“ A spectrogram STFT of dimension (ā€¦, freq, time).
        
 
        
 
        Returns:
        
 
        Bark frequency spectrogram of size (ā€¦, n_barks, time).
        
 
        
 
        Return type:
        
-
        torch.Tensor
        
+
        torch.Tensor
        
 
        
 
        
 
        
diff --git a/main/generated/torchaudio.prototype.transforms.BarkSpectrogram.html b/main/generated/torchaudio.prototype.transforms.BarkSpectrogram.html
index d8a7519377c..662e068441b 100644
--- a/main/generated/torchaudio.prototype.transforms.BarkSpectrogram.html
+++ b/main/generated/torchaudio.prototype.transforms.BarkSpectrogram.html
@@ -10,7 +10,7 @@
 
   
   
-  BarkSpectrogram — Torchaudio 2.2.0.dev20240424 documentation
+  BarkSpectrogram — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
        
     
 
@@ -468,7 +468,7 @@ 
        BarkSpectrogramfloat or None, optional) ā€“ Maximum frequency. (Default: None)
        
 
      • pad (int, optional) ā€“ Two sided padding of signal. (Default: 0)
        • 
 
      • n_mels (int, optional) ā€“ Number of mel filterbanks. (Default: 128)
        • 
-
      • window_fn (Callable[..., torch.Tensor], optional) ā€“ A function to create a window tensor
+
      • window_fn (Callable[..., torch.Tensor], optional) ā€“ A function to create a window tensor
 that is applied/multiplied to each frame/window. (Default: torch.hann_window)
        • 
 
      • power (float, optional) ā€“ Exponent for the magnitude spectrogram,
 (must be > 0) e.g., 1 for energy, 2 for power, etc. (Default: 2)
        • 
@@ -498,16 +498,16 @@ 
        BarkSpectrogram
 
        
-forward(waveform: Tensor) → Tensor[source]Ā¶
        
+forward(waveform: Tensor) → Tensor[source]Ā¶
 
        
 
        Parameters:
        
-
        waveform (torch.Tensor) ā€“ torch.Tensor of audio of dimension (ā€¦, time).
        
+
        waveform (torch.Tensor) ā€“ torch.Tensor of audio of dimension (ā€¦, time).
        
 
        
 
        Returns:
        
 
        Bark frequency spectrogram of size (ā€¦, n_barks, time).
        
 
        
 
        Return type:
        
-
        torch.Tensor
        
+
        torch.Tensor
        
 
        
 
        
 
        
diff --git a/main/generated/torchaudio.prototype.transforms.ChromaScale.html b/main/generated/torchaudio.prototype.transforms.ChromaScale.html
index b7cdcc985f2..6df5622d62d 100644
--- a/main/generated/torchaudio.prototype.transforms.ChromaScale.html
+++ b/main/generated/torchaudio.prototype.transforms.ChromaScale.html
@@ -10,7 +10,7 @@
 
   
   
-  ChromaScale — Torchaudio 2.2.0.dev20240424 documentation
+  ChromaScale — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
        
     
 
@@ -478,16 +478,16 @@ 
        ChromaScale
 
        
-forward(x: Tensor) → Tensor[source]Ā¶
        
+forward(x: Tensor) → Tensor[source]Ā¶
 
        
 
        Parameters:
        
-
        specgram (torch.Tensor) ā€“ Spectrogram of dimension (ā€¦, n_freqs, time).
        
+
        specgram (torch.Tensor) ā€“ Spectrogram of dimension (ā€¦, n_freqs, time).
        
 
        
 
        Returns:
        
 
        Chroma spectrogram of size (ā€¦, n_chroma, time).
        
 
        
 
        Return type:
        
-
        torch.Tensor
        
+
        torch.Tensor
        
 
        
 
        
 
        
diff --git a/main/generated/torchaudio.prototype.transforms.ChromaSpectrogram.html b/main/generated/torchaudio.prototype.transforms.ChromaSpectrogram.html
index 06257968972..ebe269c3f3c 100644
--- a/main/generated/torchaudio.prototype.transforms.ChromaSpectrogram.html
+++ b/main/generated/torchaudio.prototype.transforms.ChromaSpectrogram.html
@@ -10,7 +10,7 @@
 
   
   
-  ChromaSpectrogram — Torchaudio 2.2.0.dev20240424 documentation
+  ChromaSpectrogram — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
        
     
 
@@ -456,7 +456,7 @@ 
        ChromaSpectrogramint or None, optional) ā€“ Window size. (Default: n_fft)
        
 
      • hop_length (int or None, optional) ā€“ Length of hop between STFT windows. (Default: win_length // 2)
        • 
 
      • pad (int, optional) ā€“ Two sided padding of signal. (Default: 0)
        • 
-
      • window_fn (Callable[..., torch.Tensor], optional) ā€“ A function to create a window tensor
+
      • window_fn (Callable[..., torch.Tensor], optional) ā€“ A function to create a window tensor
 that is applied/multiplied to each frame/window. (Default: torch.hann_window)
        • 
 
      • power (float, optional) ā€“ Exponent for the magnitude spectrogram,
 (must be > 0) e.g., 1 for energy, 2 for power, etc. (Default: 2)
        • 
@@ -487,7 +487,7 @@ 
        ChromaSpectrogram
 
        
-forward(waveform: Tensor) → Tensor[source]Ā¶
        
+forward(waveform: Tensor) → Tensor[source]Ā¶
 
        
 
        Parameters:
        
 
        waveform (Tensor) ā€“ Tensor of audio of dimension (ā€¦, time).
        
diff --git a/main/generated/torchaudio.prototype.transforms.InverseBarkScale.html b/main/generated/torchaudio.prototype.transforms.InverseBarkScale.html
index f2a621671b4..b129ab5d302 100644
--- a/main/generated/torchaudio.prototype.transforms.InverseBarkScale.html
+++ b/main/generated/torchaudio.prototype.transforms.InverseBarkScale.html
@@ -10,7 +10,7 @@
 
   
   
-  InverseBarkScale — Torchaudio 2.2.0.dev20240424 documentation
+  InverseBarkScale — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
        
     
 
@@ -475,16 +475,16 @@ 
        InverseBarkScale
 
        
-forward(barkspec: Tensor) → Tensor[source]Ā¶
        
+forward(barkspec: Tensor) → Tensor[source]Ā¶
 
        
 
        Parameters:
        
-
        barkspec (torch.Tensor) ā€“ A Bark frequency spectrogram of dimension (ā€¦, n_barks, time)
        
+
        barkspec (torch.Tensor) ā€“ A Bark frequency spectrogram of dimension (ā€¦, n_barks, time)
        
 
        
 
        Returns:
        
 
        Linear scale spectrogram of size (ā€¦, freq, time)
        
 
        
 
        Return type:
        
-
        torch.Tensor
        
+
        torch.Tensor
        
 
        
 
        
 
        
diff --git a/main/generated/torchaudio.save.html b/main/generated/torchaudio.save.html
index 594c71b1397..55da15bc7f7 100644
--- a/main/generated/torchaudio.save.html
+++ b/main/generated/torchaudio.save.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.save — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.save — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
        
     
 
@@ -440,7 +440,7 @@
 
        torchaudio.saveĀ¶
        
 
        
 
        
-torchaudio.save(uri: Union[BinaryIO, str, PathLike], src: Tensor, sample_rate: int, channels_first: bool = True, format: Optional[str] = None, encoding: Optional[str] = None, bits_per_sample: Optional[int] = None, buffer_size: int = 4096, backend: Optional[str] = None, compression: Optional[Union[CodecConfig, float, int]] = None)Ā¶
        
+torchaudio.save(uri: Union[BinaryIO, str, PathLike], src: Tensor, sample_rate: int, channels_first: bool = True, format: Optional[str] = None, encoding: Optional[str] = None, bits_per_sample: Optional[int] = None, buffer_size: int = 4096, backend: Optional[str] = None, compression: Optional[Union[CodecConfig, float, int]] = None)Ā¶
 
        Save audio data to file.
        
 
        
 
        Note
        
@@ -456,7 +456,7 @@ 
        torchaudio.saveParameters:
 
          
 
        • uri (str or pathlib.Path) ā€“ Path to audio file.
          • 
-
        • src (torch.Tensor) ā€“ Audio data to save. must be 2D tensor.
          • 
+
        • src (torch.Tensor) ā€“ Audio data to save. must be 2D tensor.
          • 
 
        • sample_rate (int) ā€“ sampling rate
          • 
 
        • channels_first (bool, optional) ā€“ If True, the given tensor is interpreted as [channel, time],
 otherwise [time, channel].
          • 
diff --git a/main/generated/torchaudio.sox_effects.apply_effects_file.html b/main/generated/torchaudio.sox_effects.apply_effects_file.html
index ab222fcdfd4..91e5bf97115 100644
--- a/main/generated/torchaudio.sox_effects.apply_effects_file.html
+++ b/main/generated/torchaudio.sox_effects.apply_effects_file.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.sox_effects.apply_effects_file — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.sox_effects.apply_effects_file — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
          
             
     
          
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
          
     
 
@@ -440,7 +440,7 @@
 
          torchaudio.sox_effects.apply_effects_fileĀ¶
          
 
          
 
          
-torchaudio.sox_effects.apply_effects_file(path: str, effects: List[List[str]], normalize: bool = True, channels_first: bool = True, format: Optional[str] = None) → Tuple[Tensor, int][source]Ā¶
          
+torchaudio.sox_effects.apply_effects_file(path: str, effects: List[List[str]], normalize: bool = True, channels_first: bool = True, format: Optional[str] = None) → Tuple[Tensor, int][source]Ā¶
 
          Apply sox effects to the audio file and load the resulting data as Tensor
          
 This feature supports the following devices: CPU
 This API supports the following properties: TorchScript
diff --git a/main/generated/torchaudio.sox_effects.apply_effects_tensor.html b/main/generated/torchaudio.sox_effects.apply_effects_tensor.html
index 2afde38add0..8a9c3edc4da 100644
--- a/main/generated/torchaudio.sox_effects.apply_effects_tensor.html
+++ b/main/generated/torchaudio.sox_effects.apply_effects_tensor.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.sox_effects.apply_effects_tensor — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.sox_effects.apply_effects_tensor — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
          
             
     
          
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
          
     
 
@@ -440,7 +440,7 @@
 
          torchaudio.sox_effects.apply_effects_tensorĀ¶
          
 
          
 
          
-torchaudio.sox_effects.apply_effects_tensor(tensor: Tensor, sample_rate: int, effects: List[List[str]], channels_first: bool = True) → Tuple[Tensor, int][source]Ā¶
          
+torchaudio.sox_effects.apply_effects_tensor(tensor: Tensor, sample_rate: int, effects: List[List[str]], channels_first: bool = True) → Tuple[Tensor, int][source]Ā¶
 
          Apply sox effects to given Tensor
          
 This feature supports the following devices: CPU
 This API supports the following properties: TorchScript
@@ -456,7 +456,7 @@ 
          torchaudio.sox_effects.apply_effects_tensor
 
          Parameters:
          
 
            
-
          • tensor (torch.Tensor) ā€“ Input 2D CPU Tensor.
            • 
+
          • tensor (torch.Tensor) ā€“ Input 2D CPU Tensor.
            • 
 
          • sample_rate (int) ā€“ Sample rate
            • 
 
          • effects (List[List[str]]) ā€“ List of effects.
            • 
 
          • channels_first (bool, optional) ā€“ Indicates if the input Tensorā€™s dimension is
diff --git a/main/generated/torchaudio.sox_effects.effect_names.html b/main/generated/torchaudio.sox_effects.effect_names.html
index ed0d292553b..a685fe97bb2 100644
--- a/main/generated/torchaudio.sox_effects.effect_names.html
+++ b/main/generated/torchaudio.sox_effects.effect_names.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.sox_effects.effect_names — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.sox_effects.effect_names — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
            
             
     
            
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
            
     
 
diff --git a/main/generated/torchaudio.transforms.AddNoise.html b/main/generated/torchaudio.transforms.AddNoise.html
index aad0a05ac51..898bc130290 100644
--- a/main/generated/torchaudio.transforms.AddNoise.html
+++ b/main/generated/torchaudio.transforms.AddNoise.html
@@ -10,7 +10,7 @@
 
   
   
-  AddNoise — Torchaudio 2.2.0.dev20240424 documentation
+  AddNoise — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
            
             
     
            
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
            
     
 
@@ -447,14 +447,14 @@ 
            AddNoiseThis API supports the following properties: Autograd, TorchScript
 
            
 
            
-forward(waveform: Tensor, noise: Tensor, snr: Tensor, lengths: Optional[Tensor] = None) → Tensor[source]Ā¶
            
+forward(waveform: Tensor, noise: Tensor, snr: Tensor, lengths: Optional[Tensor] = None) → Tensor[source]Ā¶
 
            
 
            Parameters:
            
 
              
-
            • waveform (torch.Tensor) ā€“ Input waveform, with shape (ā€¦, L).
              • 
-
            • noise (torch.Tensor) ā€“ Noise, with shape (ā€¦, L) (same shape as waveform).
              • 
-
            • snr (torch.Tensor) ā€“ Signal-to-noise ratios in dB, with shape (ā€¦,).
              • 
-
            • lengths (torch.Tensor or None, optional) ā€“ Valid lengths of signals in waveform and noise,
              • 
+
            • waveform (torch.Tensor) ā€“ Input waveform, with shape (ā€¦, L).
              • 
+
            • noise (torch.Tensor) ā€“ Noise, with shape (ā€¦, L) (same shape as waveform).
              • 
+
            • snr (torch.Tensor) ā€“ Signal-to-noise ratios in dB, with shape (ā€¦,).
              • 
+
            • lengths (torch.Tensor or None, optional) ā€“ Valid lengths of signals in waveform and noise,
              • 
 
            • ` (with shape) ā€“ 
              • 
 
            • (Default (elements in waveform and noise are treated as valid.) ā€“ None)
              • 
 
            
@@ -464,7 +464,7 @@ 
            AddNoisewaveform).
            
 
            
 
            Return type:
            
-
            torch.Tensor
            
+
            torch.Tensor
            
 
            
 
            
 
            
diff --git a/main/generated/torchaudio.transforms.AmplitudeToDB.html b/main/generated/torchaudio.transforms.AmplitudeToDB.html
index dd89d5c0224..99776f27d09 100644
--- a/main/generated/torchaudio.transforms.AmplitudeToDB.html
+++ b/main/generated/torchaudio.transforms.AmplitudeToDB.html
@@ -10,7 +10,7 @@
 
   
   
-  AmplitudeToDB — Torchaudio 2.2.0.dev20240424 documentation
+  AmplitudeToDB — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
            
             
     
            
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
            
     
 
@@ -471,7 +471,7 @@ 
            AmplitudeToDB
 
            
-forward(x: Tensor) → Tensor[source]Ā¶
            
+forward(x: Tensor) → Tensor[source]Ā¶
 
            Numerically stable implementation from Librosa.
            
 
            https://librosa.org/doc/latest/generated/librosa.amplitude_to_db.html
            
 
            
diff --git a/main/generated/torchaudio.transforms.ComputeDeltas.html b/main/generated/torchaudio.transforms.ComputeDeltas.html
index b246994ca65..0b2cdd65b5e 100644
--- a/main/generated/torchaudio.transforms.ComputeDeltas.html
+++ b/main/generated/torchaudio.transforms.ComputeDeltas.html
@@ -10,7 +10,7 @@
 
   
   
-  ComputeDeltas — Torchaudio 2.2.0.dev20240424 documentation
+  ComputeDeltas — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
            
             
     
            
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
            
     
 
@@ -455,7 +455,7 @@ 
            ComputeDeltas
 
            
-forward(specgram: Tensor) → Tensor[source]Ā¶
            
+forward(specgram: Tensor) → Tensor[source]Ā¶
 
            
 
            Parameters:
            
 
            specgram (Tensor) ā€“ Tensor of audio of dimension (ā€¦, freq, time).
            
diff --git a/main/generated/torchaudio.transforms.Convolve.html b/main/generated/torchaudio.transforms.Convolve.html
index 7f16adbd362..9d631b79f53 100644
--- a/main/generated/torchaudio.transforms.Convolve.html
+++ b/main/generated/torchaudio.transforms.Convolve.html
@@ -10,7 +10,7 @@
 
   
   
-  Convolve — Torchaudio 2.2.0.dev20240424 documentation
+  Convolve — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
            
             
     
            
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
            
     
 
@@ -442,7 +442,7 @@ 
            Convolve
 class torchaudio.transforms.Convolve(mode: str = 'full')[source]Ā¶
 
            Convolves inputs along their last dimension using the direct method.
-Note that, in contrast to torch.nn.Conv1d, which actually applies the valid cross-correlation
+Note that, in contrast to torch.nn.Conv1d, which actually applies the valid cross-correlation
 operator, this module applies the true convolution operator.
            
 This feature supports the following devices: CPU, CUDA
 This API supports the following properties: Autograd, TorchScript
@@ -461,12 +461,12 @@ 
            Convolve
 
            
-forward(x: Tensor, y: Tensor) → Tensor[source]Ā¶
            
+forward(x: Tensor, y: Tensor) → Tensor[source]Ā¶
 
            
 
            Parameters:
            
 
              
-
            • x (torch.Tensor) ā€“ First convolution operand, with shape (ā€¦, N).
              • 
-
            • y (torch.Tensor) ā€“ Second convolution operand, with shape (ā€¦, M)
+
            • x (torch.Tensor) ā€“ First convolution operand, with shape (ā€¦, N).
              • 
+
            • y (torch.Tensor) ā€“ Second convolution operand, with shape (ā€¦, M)
 (leading dimensions must be broadcast-able with those of x).
              • 
 
            
 
            
@@ -475,7 +475,7 @@ 
            Convolvex and L is dictated by mode.
            
 
            
 
            Return type:
            
-
            torch.Tensor
            
+
            torch.Tensor
            
 
            
 
            
 
            
diff --git a/main/generated/torchaudio.transforms.Deemphasis.html b/main/generated/torchaudio.transforms.Deemphasis.html
index b67409790eb..cdc62bb6313 100644
--- a/main/generated/torchaudio.transforms.Deemphasis.html
+++ b/main/generated/torchaudio.transforms.Deemphasis.html
@@ -10,7 +10,7 @@
 
   
   
-  Deemphasis — Torchaudio 2.2.0.dev20240424 documentation
+  Deemphasis — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
            
             
     
            
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
            
     
 
@@ -453,16 +453,16 @@ 
            Deemphasis
 
            
-forward(waveform: Tensor) → Tensor[source]Ā¶
            
+forward(waveform: Tensor) → Tensor[source]Ā¶
 
            
 
            Parameters:
            
-
            waveform (torch.Tensor) ā€“ Waveform, with shape (ā€¦, N).
            
+
            waveform (torch.Tensor) ā€“ Waveform, with shape (ā€¦, N).
            
 
            
 
            Returns:
            
 
            De-emphasized waveform, with shape (ā€¦, N).
            
 
            
 
            Return type:
            
-
            torch.Tensor
            
+
            torch.Tensor
            
 
            
 
            
 
          
diff --git a/main/generated/torchaudio.transforms.FFTConvolve.html b/main/generated/torchaudio.transforms.FFTConvolve.html
index 55dafa5b0b5..0d7b0712b1e 100644
--- a/main/generated/torchaudio.transforms.FFTConvolve.html
+++ b/main/generated/torchaudio.transforms.FFTConvolve.html
@@ -10,7 +10,7 @@
 
   
   
-  FFTConvolve — Torchaudio 2.2.0.dev20240424 documentation
+  FFTConvolve — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
          
             
     
          
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
          
     
 
@@ -443,7 +443,7 @@ 
          FFTConvolveclass torchaudio.transforms.FFTConvolve(mode: str = 'full')[source]Ā¶
 
          Convolves inputs along their last dimension using FFT. For inputs with large last dimensions, this module
 is generally much faster than Convolve.
-Note that, in contrast to torch.nn.Conv1d, which actually applies the valid cross-correlation
+Note that, in contrast to torch.nn.Conv1d, which actually applies the valid cross-correlation
 operator, this module applies the true convolution operator.
 Also note that this module can only output float tensors (int tensor inputs will be cast to float).
          
 This feature supports the following devices: CPU, CUDA
@@ -463,12 +463,12 @@ 
          FFTConvolve
 
          
-forward(x: Tensor, y: Tensor) → Tensor[source]Ā¶
          
+forward(x: Tensor, y: Tensor) → Tensor[source]Ā¶
 
          
 
          Parameters:
          
 
            
-
          • x (torch.Tensor) ā€“ First convolution operand, with shape (ā€¦, N).
            • 
-
          • y (torch.Tensor) ā€“ Second convolution operand, with shape (ā€¦, M)
+
          • x (torch.Tensor) ā€“ First convolution operand, with shape (ā€¦, N).
            • 
+
          • y (torch.Tensor) ā€“ Second convolution operand, with shape (ā€¦, M)
 (leading dimensions must be broadcast-able with those of x).
            • 
 
          
 
          
@@ -477,7 +477,7 @@ 
          FFTConvolvex and L is dictated by mode.
          
 
          
 
          Return type:
          
-
          torch.Tensor
          
+
          torch.Tensor
          
 
          
 
          
 
        
diff --git a/main/generated/torchaudio.transforms.Fade.html b/main/generated/torchaudio.transforms.Fade.html
index 25c8391a072..6a2689cfcd3 100644
--- a/main/generated/torchaudio.transforms.Fade.html
+++ b/main/generated/torchaudio.transforms.Fade.html
@@ -10,7 +10,7 @@
 
   
   
-  Fade — Torchaudio 2.2.0.dev20240424 documentation
+  Fade — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
        
     
 
@@ -469,7 +469,7 @@ 
        FadeĀ¶<
 
        
 
        
 
        
-forward(waveform: Tensor) → Tensor[source]Ā¶
        
+forward(waveform: Tensor) → Tensor[source]Ā¶
 
        
 
        Parameters:
        
 
        waveform (Tensor) ā€“ Tensor of audio of dimension (ā€¦, time).
        
diff --git a/main/generated/torchaudio.transforms.FrequencyMasking.html b/main/generated/torchaudio.transforms.FrequencyMasking.html
index 42d169a8431..a40a0c37562 100644
--- a/main/generated/torchaudio.transforms.FrequencyMasking.html
+++ b/main/generated/torchaudio.transforms.FrequencyMasking.html
@@ -10,7 +10,7 @@
 
   
   
-  FrequencyMasking — Torchaudio 2.2.0.dev20240424 documentation
+  FrequencyMasking — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
        
     
 
diff --git a/main/generated/torchaudio.transforms.GriffinLim.html b/main/generated/torchaudio.transforms.GriffinLim.html
index 2432d7d89e1..e6c541a1151 100644
--- a/main/generated/torchaudio.transforms.GriffinLim.html
+++ b/main/generated/torchaudio.transforms.GriffinLim.html
@@ -10,7 +10,7 @@
 
   
   
-  GriffinLim — Torchaudio 2.2.0.dev20240424 documentation
+  GriffinLim — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
        
     
 
@@ -485,7 +485,7 @@ 
        GriffinLim
 
        
-forward(specgram: Tensor) → Tensor[source]Ā¶
        
+forward(specgram: Tensor) → Tensor[source]Ā¶
 
        
 
        Parameters:
        
 
        specgram (Tensor) ā€“ A magnitude-only STFT spectrogram of dimension (ā€¦, freq, frames)
diff --git a/main/generated/torchaudio.transforms.InverseMelScale.html b/main/generated/torchaudio.transforms.InverseMelScale.html
index d027d22f5a7..77c985eb2b4 100644
--- a/main/generated/torchaudio.transforms.InverseMelScale.html
+++ b/main/generated/torchaudio.transforms.InverseMelScale.html
@@ -10,7 +10,7 @@
 
   
   
-  InverseMelScale — Torchaudio 2.2.0.dev20240424 documentation
+  InverseMelScale — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
        
     
 
@@ -475,7 +475,7 @@ 
        InverseMelScale
 
        
-forward(melspec: Tensor) → Tensor[source]Ā¶
        
+forward(melspec: Tensor) → Tensor[source]Ā¶
 
        
 
        Parameters:
        
 
        melspec (Tensor) ā€“ A Mel frequency spectrogram of dimension (ā€¦, n_mels, time)
        
diff --git a/main/generated/torchaudio.transforms.InverseSpectrogram.html b/main/generated/torchaudio.transforms.InverseSpectrogram.html
index 7fddd9dc1aa..9b456b0c5e4 100644
--- a/main/generated/torchaudio.transforms.InverseSpectrogram.html
+++ b/main/generated/torchaudio.transforms.InverseSpectrogram.html
@@ -10,7 +10,7 @@
 
   
   
-  InverseSpectrogram — Torchaudio 2.2.0.dev20240424 documentation
+  InverseSpectrogram — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
        
     
 
@@ -486,7 +486,7 @@ 
        InverseSpectrogram
 
        
-forward(spectrogram: Tensor, length: Optional[int] = None) → Tensor[source]Ā¶
        
+forward(spectrogram: Tensor, length: Optional[int] = None) → Tensor[source]Ā¶
 
        
 
        Parameters:
        
 
          
diff --git a/main/generated/torchaudio.transforms.LFCC.html b/main/generated/torchaudio.transforms.LFCC.html
index 36771bcd473..470289e8e8c 100644
--- a/main/generated/torchaudio.transforms.LFCC.html
+++ b/main/generated/torchaudio.transforms.LFCC.html
@@ -10,7 +10,7 @@
 
   
   
-  LFCC — Torchaudio 2.2.0.dev20240424 documentation
+  LFCC — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
          
             
     
          
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
          
     
 
@@ -490,7 +490,7 @@ 
          LFCCĀ¶<
 
        
 
        
 
        
-forward(waveform: Tensor) → Tensor[source]Ā¶
        
+forward(waveform: Tensor) → Tensor[source]Ā¶
 
        
 
        Parameters:
        
 
        waveform (Tensor) ā€“ Tensor of audio of dimension (ā€¦, time).
        
diff --git a/main/generated/torchaudio.transforms.Loudness.html b/main/generated/torchaudio.transforms.Loudness.html
index 021eec00c57..37461064fbb 100644
--- a/main/generated/torchaudio.transforms.Loudness.html
+++ b/main/generated/torchaudio.transforms.Loudness.html
@@ -10,7 +10,7 @@
 
   
   
-  Loudness — Torchaudio 2.2.0.dev20240424 documentation
+  Loudness — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
        
     
 
@@ -463,10 +463,10 @@ 
        Loudness
 
        
-forward(wavefrom: Tensor)[source]Ā¶
        
+forward(wavefrom: Tensor)[source]Ā¶
 
        
 
        Parameters:
        
-
        waveform (torch.Tensor) ā€“ audio waveform of dimension (ā€¦, channels, time)
        
+
        waveform (torch.Tensor) ā€“ audio waveform of dimension (ā€¦, channels, time)
        
 
        
 
        Returns:
        
 
        loudness estimates (LKFS)
        
diff --git a/main/generated/torchaudio.transforms.MFCC.html b/main/generated/torchaudio.transforms.MFCC.html
index ee722e3f40d..3b4fa6b1340 100644
--- a/main/generated/torchaudio.transforms.MFCC.html
+++ b/main/generated/torchaudio.transforms.MFCC.html
@@ -10,7 +10,7 @@
 
   
   
-  MFCC — Torchaudio 2.2.0.dev20240424 documentation
+  MFCC — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
        
     
 
@@ -487,7 +487,7 @@ 
        MFCCĀ¶<
 
        
 
        
 
        
-forward(waveform: Tensor) → Tensor[source]Ā¶
        
+forward(waveform: Tensor) → Tensor[source]Ā¶
 
        
 
        Parameters:
        
 
        waveform (Tensor) ā€“ Tensor of audio of dimension (ā€¦, time).
        
diff --git a/main/generated/torchaudio.transforms.MVDR.html b/main/generated/torchaudio.transforms.MVDR.html
index 0786e52360e..32aa3cb2caf 100644
--- a/main/generated/torchaudio.transforms.MVDR.html
+++ b/main/generated/torchaudio.transforms.MVDR.html
@@ -10,7 +10,7 @@
 
   
   
-  MVDR — Torchaudio 2.2.0.dev20240424 documentation
+  MVDR — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
        
     
 
@@ -498,17 +498,17 @@ 
        MVDRĀ¶<
 
        
 
        
 
        
-forward(specgram: Tensor, mask_s: Tensor, mask_n: Optional[Tensor] = None) → Tensor[source]Ā¶
        
+forward(specgram: Tensor, mask_s: Tensor, mask_n: Optional[Tensor] = None) → Tensor[source]Ā¶
 
        Perform MVDR beamforming.
        
 
        
 
        Parameters:
        
 
        
 
        
diff --git a/main/generated/torchaudio.transforms.MelScale.html b/main/generated/torchaudio.transforms.MelScale.html
index 9efcc981b39..cbadd2fea27 100644
--- a/main/generated/torchaudio.transforms.MelScale.html
+++ b/main/generated/torchaudio.transforms.MelScale.html
@@ -10,7 +10,7 @@
 
   
   
-  MelScale — Torchaudio 2.2.0.dev20240424 documentation
+  MelScale — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
        
     
 
@@ -475,7 +475,7 @@ 
        MelScale
 
        
-forward(specgram: Tensor) → Tensor[source]Ā¶
        
+forward(specgram: Tensor) → Tensor[source]Ā¶
 
        
 
        Parameters:
        
 
        specgram (Tensor) ā€“ A spectrogram STFT of dimension (ā€¦, freq, time).
        
diff --git a/main/generated/torchaudio.transforms.MelSpectrogram.html b/main/generated/torchaudio.transforms.MelSpectrogram.html
index b79177e4c4b..6b8d0ad7a9f 100644
--- a/main/generated/torchaudio.transforms.MelSpectrogram.html
+++ b/main/generated/torchaudio.transforms.MelSpectrogram.html
@@ -10,7 +10,7 @@
 
   
   
-  MelSpectrogram — Torchaudio 2.2.0.dev20240424 documentation
+  MelSpectrogram — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
        
     
 
@@ -504,7 +504,7 @@ 
        MelSpectrogram
 
        
-forward(waveform: Tensor) → Tensor[source]Ā¶
        
+forward(waveform: Tensor) → Tensor[source]Ā¶
 
        
 
        Parameters:
        
 
        waveform (Tensor) ā€“ Tensor of audio of dimension (ā€¦, time).
        
diff --git a/main/generated/torchaudio.transforms.MuLawDecoding.html b/main/generated/torchaudio.transforms.MuLawDecoding.html
index 8329297dc86..d829cb09f83 100644
--- a/main/generated/torchaudio.transforms.MuLawDecoding.html
+++ b/main/generated/torchaudio.transforms.MuLawDecoding.html
@@ -10,7 +10,7 @@
 
   
   
-  MuLawDecoding — Torchaudio 2.2.0.dev20240424 documentation
+  MuLawDecoding — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
        
     
 
@@ -463,7 +463,7 @@ 
        MuLawDecoding
 
        
-forward(x_mu: Tensor) → Tensor[source]Ā¶
        
+forward(x_mu: Tensor) → Tensor[source]Ā¶
 
        
 
        Parameters:
        
 
        x_mu (Tensor) ā€“ A mu-law encoded signal which needs to be decoded.
        
diff --git a/main/generated/torchaudio.transforms.MuLawEncoding.html b/main/generated/torchaudio.transforms.MuLawEncoding.html
index a95eeb0a377..e15ba0d5e38 100644
--- a/main/generated/torchaudio.transforms.MuLawEncoding.html
+++ b/main/generated/torchaudio.transforms.MuLawEncoding.html
@@ -10,7 +10,7 @@
 
   
   
-  MuLawEncoding — Torchaudio 2.2.0.dev20240424 documentation
+  MuLawEncoding — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
        
     
 
@@ -463,7 +463,7 @@ 
        MuLawEncoding
 
        
-forward(x: Tensor) → Tensor[source]Ā¶
        
+forward(x: Tensor) → Tensor[source]Ā¶
 
        
 
        Parameters:
        
 
        x (Tensor) ā€“ A signal to be encoded.
        
diff --git a/main/generated/torchaudio.transforms.PSD.html b/main/generated/torchaudio.transforms.PSD.html
index 3b4683bac7e..5acea64483e 100644
--- a/main/generated/torchaudio.transforms.PSD.html
+++ b/main/generated/torchaudio.transforms.PSD.html
@@ -10,7 +10,7 @@
 
   
   
-  PSD — Torchaudio 2.2.0.dev20240424 documentation
+  PSD — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
        
     
 
@@ -461,13 +461,13 @@ 
        PSDĀ¶
 
        
 
        
-forward(specgram: Tensor, mask: Optional[Tensor] = None)[source]Ā¶
        
+forward(specgram: Tensor, mask: Optional[Tensor] = None)[source]Ā¶
 
        
 
        Parameters:
        
 
          
-
        • specgram (torch.Tensor) ā€“ Multi-channel complex-valued spectrum.
+
        • specgram (torch.Tensor) ā€“ Multi-channel complex-valued spectrum.
 Tensor with dimensions (ā€¦, channel, freq, time).
          • 
-
        • mask (torch.Tensor or None, optional) ā€“ Time-Frequency mask for normalization.
+
        • mask (torch.Tensor or None, optional) ā€“ Time-Frequency mask for normalization.
 Tensor with dimensions (ā€¦, freq, time) if multi_mask is False or
 with dimensions (ā€¦, channel, freq, time) if multi_mask is True.
 (Default: None)
          • 
@@ -481,7 +481,7 @@ 
          PSDĀ¶
 
        
 
        Return type:
        
-
        torch.Tensor
        
+
        torch.Tensor
        
 
        
 
        
 
        
diff --git a/main/generated/torchaudio.transforms.PitchShift.html b/main/generated/torchaudio.transforms.PitchShift.html
index 5f2bcdb4274..cda619ba88b 100644
--- a/main/generated/torchaudio.transforms.PitchShift.html
+++ b/main/generated/torchaudio.transforms.PitchShift.html
@@ -10,7 +10,7 @@
 
   
   
-  PitchShift — Torchaudio 2.2.0.dev20240424 documentation
+  PitchShift — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
        
     
 
@@ -478,7 +478,7 @@ 
        PitchShift
 
        
-forward(waveform: Tensor) → Tensor[source]Ā¶
        
+forward(waveform: Tensor) → Tensor[source]Ā¶
 
        
 
        Parameters:
        
 
        waveform (Tensor) ā€“ Tensor of audio of dimension (ā€¦, time).
        
diff --git a/main/generated/torchaudio.transforms.Preemphasis.html b/main/generated/torchaudio.transforms.Preemphasis.html
index f45c94c9b53..5219f442c85 100644
--- a/main/generated/torchaudio.transforms.Preemphasis.html
+++ b/main/generated/torchaudio.transforms.Preemphasis.html
@@ -10,7 +10,7 @@
 
   
   
-  Preemphasis — Torchaudio 2.2.0.dev20240424 documentation
+  Preemphasis — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
        
     
 
@@ -453,16 +453,16 @@ 
        Preemphasis
 
        
-forward(waveform: Tensor) → Tensor[source]Ā¶
        
+forward(waveform: Tensor) → Tensor[source]Ā¶
 
        
 
        Parameters:
        
-
        waveform (torch.Tensor) ā€“ Waveform, with shape (ā€¦, N).
        
+
        waveform (torch.Tensor) ā€“ Waveform, with shape (ā€¦, N).
        
 
        
 
        Returns:
        
 
        Pre-emphasized waveform, with shape (ā€¦, N).
        
 
        
 
        Return type:
        
-
        torch.Tensor
        
+
        torch.Tensor
        
 
        
 
        
 
        
diff --git a/main/generated/torchaudio.transforms.RNNTLoss.html b/main/generated/torchaudio.transforms.RNNTLoss.html
index 10cf38b5062..f6411c300c8 100644
--- a/main/generated/torchaudio.transforms.RNNTLoss.html
+++ b/main/generated/torchaudio.transforms.RNNTLoss.html
@@ -10,7 +10,7 @@
 
   
   
-  RNNTLoss — Torchaudio 2.2.0.dev20240424 documentation
+  RNNTLoss — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
        
     
 
@@ -481,7 +481,7 @@ 
        RNNTLoss
 
        
-forward(logits: Tensor, targets: Tensor, logit_lengths: Tensor, target_lengths: Tensor)[source]Ā¶
        
+forward(logits: Tensor, targets: Tensor, logit_lengths: Tensor, target_lengths: Tensor)[source]Ā¶
 
        
 
        Parameters:
        
 
        
diff --git a/main/generated/torchaudio.transforms.Resample.html b/main/generated/torchaudio.transforms.Resample.html
index 0f636a0fa37..dcaca967c7c 100644
--- a/main/generated/torchaudio.transforms.Resample.html
+++ b/main/generated/torchaudio.transforms.Resample.html
@@ -10,7 +10,7 @@
 
   
   
-  Resample — Torchaudio 2.2.0.dev20240424 documentation
+  Resample — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
        
     
 
@@ -440,7 +440,7 @@
 
        ResampleĀ¶
        
 
        
 
        
-class torchaudio.transforms.Resample(orig_freq: int = 16000, new_freq: int = 16000, resampling_method: str = 'sinc_interp_hann', lowpass_filter_width: int = 6, rolloff: float = 0.99, beta: Optional[float] = None, *, dtype: Optional[dtype] = None)[source]Ā¶
        
+class torchaudio.transforms.Resample(orig_freq: int = 16000, new_freq: int = 16000, resampling_method: str = 'sinc_interp_hann', lowpass_filter_width: int = 6, rolloff: float = 0.99, beta: Optional[float] = None, *, dtype: Optional[dtype] = None)[source]Ā¶
 
        Resample a signal from one frequency to another. A resampling method can be given.
        
 This feature supports the following devices: CPU, CUDA
 This API supports the following properties: Autograd, TorchScript
@@ -463,7 +463,7 @@ 
        Resamplefloat, optional) ā€“ The roll-off frequency of the filter, as a fraction of the Nyquist.
 Lower values reduce anti-aliasing, but also reduce some of the highest frequencies. (Default: 0.99)
        
 
      • beta (float or None, optional) ā€“ The shape parameter used for kaiser window.
        • 
-
      • dtype (torch.device, optional) ā€“ Determnines the precision that resampling kernel is pre-computed and cached. If not provided,
+
      • dtype (torch.device, optional) ā€“ Determnines the precision that resampling kernel is pre-computed and cached. If not provided,
 kernel is computed with torch.float64 then cached as torch.float32.
 If you need higher precision, provide torch.float64, and the pre-computed kernel is computed and
 cached as torch.float64. If you use resample with lower precision, then instead of providing this
@@ -489,7 +489,7 @@ 
        Resample
 
        
-forward(waveform: Tensor) → Tensor[source]Ā¶
        
+forward(waveform: Tensor) → Tensor[source]Ā¶
 
        
 
        Parameters:
        
 
        waveform (Tensor) ā€“ Tensor of audio of dimension (ā€¦, time).
        
diff --git a/main/generated/torchaudio.transforms.SlidingWindowCmn.html b/main/generated/torchaudio.transforms.SlidingWindowCmn.html
index 636d5c2e978..ec7f44b9657 100644
--- a/main/generated/torchaudio.transforms.SlidingWindowCmn.html
+++ b/main/generated/torchaudio.transforms.SlidingWindowCmn.html
@@ -10,7 +10,7 @@
 
   
   
-  SlidingWindowCmn — Torchaudio 2.2.0.dev20240424 documentation
+  SlidingWindowCmn — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
        
     
 
@@ -466,7 +466,7 @@ 
        SlidingWindowCmn
 
        
-forward(specgram: Tensor) → Tensor[source]Ā¶
        
+forward(specgram: Tensor) → Tensor[source]Ā¶
 
        
 
        Parameters:
        
 
        specgram (Tensor) ā€“ Tensor of spectrogram of dimension (ā€¦, time, freq).
        
diff --git a/main/generated/torchaudio.transforms.SoudenMVDR.html b/main/generated/torchaudio.transforms.SoudenMVDR.html
index be6c102c956..33b08044d5d 100644
--- a/main/generated/torchaudio.transforms.SoudenMVDR.html
+++ b/main/generated/torchaudio.transforms.SoudenMVDR.html
@@ -10,7 +10,7 @@
 
   
   
-  SoudenMVDR — Torchaudio 2.2.0.dev20240424 documentation
+  SoudenMVDR — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
        
     
 
@@ -469,17 +469,17 @@ 
        SoudenMVDR
 
        
-forward(specgram: Tensor, psd_s: Tensor, psd_n: Tensor, reference_channel: Union[int, Tensor], diagonal_loading: bool = True, diag_eps: float = 1e-07, eps: float = 1e-08) → Tensor[source]Ā¶
        
+forward(specgram: Tensor, psd_s: Tensor, psd_n: Tensor, reference_channel: Union[int, Tensor], diagonal_loading: bool = True, diag_eps: float = 1e-07, eps: float = 1e-08) → Tensor[source]Ā¶
 
        
 
        Parameters:
        
 
          
-
        • specgram (torch.Tensor) ā€“ Multi-channel complex-valued spectrum.
+
        • specgram (torch.Tensor) ā€“ Multi-channel complex-valued spectrum.
 Tensor with dimensions (ā€¦, channel, freq, time).
          • 
-
        • psd_s (torch.Tensor) ā€“ The complex-valued power spectral density (PSD) matrix of target speech.
+
        • psd_s (torch.Tensor) ā€“ The complex-valued power spectral density (PSD) matrix of target speech.
 Tensor with dimensions (ā€¦, freq, channel, channel).
          • 
-
        • psd_n (torch.Tensor) ā€“ The complex-valued power spectral density (PSD) matrix of noise.
+
        • psd_n (torch.Tensor) ā€“ The complex-valued power spectral density (PSD) matrix of noise.
 Tensor with dimensions (ā€¦, freq, channel, channel).
          • 
-
        • reference_channel (int or torch.Tensor) ā€“ Specifies the reference channel.
+
        • reference_channel (int or torch.Tensor) ā€“ Specifies the reference channel.
 If the dtype is int, it represents the reference channel index.
 If the dtype is torch.Tensor, its shape is (ā€¦, channel), where the channel dimension
 is one-hot.
          • 
@@ -495,7 +495,7 @@ 
          SoudenMVDR
          Single-channel complex-valued enhanced spectrum with dimensions (ā€¦, freq, time).
          
 
        
 
        Return type:
        
-
        torch.Tensor
        
+
        torch.Tensor
        
 
        
 
        
 
        
diff --git a/main/generated/torchaudio.transforms.SpectralCentroid.html b/main/generated/torchaudio.transforms.SpectralCentroid.html
index 04cadb64183..7c4c43213b9 100644
--- a/main/generated/torchaudio.transforms.SpectralCentroid.html
+++ b/main/generated/torchaudio.transforms.SpectralCentroid.html
@@ -10,7 +10,7 @@
 
   
   
-  SpectralCentroid — Torchaudio 2.2.0.dev20240424 documentation
+  SpectralCentroid — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
        
     
 
@@ -470,7 +470,7 @@ 
        SpectralCentroid
 
        
-forward(waveform: Tensor) → Tensor[source]Ā¶
        
+forward(waveform: Tensor) → Tensor[source]Ā¶
 
        
 
        Parameters:
        
 
        waveform (Tensor) ā€“ Tensor of audio of dimension (ā€¦, time).
        
diff --git a/main/generated/torchaudio.transforms.Spectrogram.html b/main/generated/torchaudio.transforms.Spectrogram.html
index 93fa96c5e0b..d0dc7553613 100644
--- a/main/generated/torchaudio.transforms.Spectrogram.html
+++ b/main/generated/torchaudio.transforms.Spectrogram.html
@@ -10,7 +10,7 @@
 
   
   
-  Spectrogram — Torchaudio 2.2.0.dev20240424 documentation
+  Spectrogram — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
        
     
 
@@ -497,7 +497,7 @@ 
        Spectrogram
 
        
-forward(waveform: Tensor) → Tensor[source]Ā¶
        
+forward(waveform: Tensor) → Tensor[source]Ā¶
 
        
 
        Parameters:
        
 
        waveform (Tensor) ā€“ Tensor of audio of dimension (ā€¦, time).
        
diff --git a/main/generated/torchaudio.transforms.Speed.html b/main/generated/torchaudio.transforms.Speed.html
index d38c74531af..954f15fc38f 100644
--- a/main/generated/torchaudio.transforms.Speed.html
+++ b/main/generated/torchaudio.transforms.Speed.html
@@ -10,7 +10,7 @@
 
   
   
-  Speed — Torchaudio 2.2.0.dev20240424 documentation
+  Speed — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
        
     
 
@@ -455,12 +455,12 @@ 
        Speed
 
        
 
        
 
        
-forward(waveform, lengths: Optional[Tensor] = None) → Tuple[Tensor, Optional[Tensor]][source]Ā¶
        
+forward(waveform, lengths: Optional[Tensor] = None) → Tuple[Tensor, Optional[Tensor]][source]Ā¶
 
        
 
        Parameters:
        
 
          
-
        • waveform (torch.Tensor) ā€“ Input signals, with shape (ā€¦, time).
          • 
-
        • lengths (torch.Tensor or None, optional) ā€“ Valid lengths of signals in waveform, with shape (ā€¦).
+
        • waveform (torch.Tensor) ā€“ Input signals, with shape (ā€¦, time).
          • 
+
        • lengths (torch.Tensor or None, optional) ā€“ Valid lengths of signals in waveform, with shape (ā€¦).
 If None, all elements in waveform are treated as valid. (Default: None)
          • 
 
        
 
        
@@ -475,7 +475,7 @@ 
        Speed
 
        
 
        
 
        Return type:
        
-
        (torch.Tensor, torch.Tensor or None)
        
+
        (torch.Tensor, torch.Tensor or None)
        
 
        
 
        
 
        
diff --git a/main/generated/torchaudio.transforms.SpeedPerturbation.html b/main/generated/torchaudio.transforms.SpeedPerturbation.html
index 95ef7a0f4e4..8bee7df7063 100644
--- a/main/generated/torchaudio.transforms.SpeedPerturbation.html
+++ b/main/generated/torchaudio.transforms.SpeedPerturbation.html
@@ -10,7 +10,7 @@
 
   
   
-  SpeedPerturbation — Torchaudio 2.2.0.dev20240424 documentation
+  SpeedPerturbation — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
        
     
 
@@ -467,12 +467,12 @@ 
        SpeedPerturbation
 
        
-forward(waveform: Tensor, lengths: Optional[Tensor] = None) → Tuple[Tensor, Optional[Tensor]][source]Ā¶
        
+forward(waveform: Tensor, lengths: Optional[Tensor] = None) → Tuple[Tensor, Optional[Tensor]][source]Ā¶
 
        
 
        Parameters:
        
 
          
-
        • waveform (torch.Tensor) ā€“ Input signals, with shape (ā€¦, time).
          • 
-
        • lengths (torch.Tensor or None, optional) ā€“ Valid lengths of signals in waveform, with shape (ā€¦).
+
        • waveform (torch.Tensor) ā€“ Input signals, with shape (ā€¦, time).
          • 
+
        • lengths (torch.Tensor or None, optional) ā€“ Valid lengths of signals in waveform, with shape (ā€¦).
 If None, all elements in waveform are treated as valid. (Default: None)
          • 
 
        
 
        
@@ -487,7 +487,7 @@ 
        SpeedPerturbationReturn type:
-
        (torch.Tensor, torch.Tensor or None)
        
+
        (torch.Tensor, torch.Tensor or None)
        
 
        
 
        
 
        
diff --git a/main/generated/torchaudio.transforms.TimeMasking.html b/main/generated/torchaudio.transforms.TimeMasking.html
index e02e6ed15b3..3c65eb9b5e8 100644
--- a/main/generated/torchaudio.transforms.TimeMasking.html
+++ b/main/generated/torchaudio.transforms.TimeMasking.html
@@ -10,7 +10,7 @@
 
   
   
-  TimeMasking — Torchaudio 2.2.0.dev20240424 documentation
+  TimeMasking — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
        
     
 
diff --git a/main/generated/torchaudio.transforms.TimeStretch.html b/main/generated/torchaudio.transforms.TimeStretch.html
index cc2bd4a1ec5..6914072d0ea 100644
--- a/main/generated/torchaudio.transforms.TimeStretch.html
+++ b/main/generated/torchaudio.transforms.TimeStretch.html
@@ -10,7 +10,7 @@
 
   
   
-  TimeStretch — Torchaudio 2.2.0.dev20240424 documentation
+  TimeStretch — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
        
             
     
        
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
        
     
 
@@ -478,7 +478,7 @@ 
        TimeStretch
 
        
-forward(complex_specgrams: Tensor, overriding_rate: Optional[float] = None) → Tensor[source]Ā¶
        
+forward(complex_specgrams: Tensor, overriding_rate: Optional[float] = None) → Tensor[source]Ā¶
 
        
 
        Parameters:
        
 
          
diff --git a/main/generated/torchaudio.transforms.Vad.html b/main/generated/torchaudio.transforms.Vad.html
index 176bd631599..0e436bc31c5 100644
--- a/main/generated/torchaudio.transforms.Vad.html
+++ b/main/generated/torchaudio.transforms.Vad.html
@@ -10,7 +10,7 @@
 
   
   
-  Vad — Torchaudio 2.2.0.dev20240424 documentation
+  Vad — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
          
             
     
          
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
          
     
 
@@ -500,7 +500,7 @@ 
          VadĀ¶
 
          
 
          
-forward(waveform: Tensor) → Tensor[source]Ā¶
          
+forward(waveform: Tensor) → Tensor[source]Ā¶
 
          
 
          Parameters:
          
 
          waveform (Tensor) ā€“ Tensor of audio of dimension (channels, time) or (time)
diff --git a/main/generated/torchaudio.transforms.Vol.html b/main/generated/torchaudio.transforms.Vol.html
index 85149dd687f..6ece1731b89 100644
--- a/main/generated/torchaudio.transforms.Vol.html
+++ b/main/generated/torchaudio.transforms.Vol.html
@@ -10,7 +10,7 @@
 
   
   
-  Vol — Torchaudio 2.2.0.dev20240424 documentation
+  Vol — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
          
             
     
          
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
          
     
 
@@ -465,7 +465,7 @@ 
          VolĀ¶
 
          
 
          
-forward(waveform: Tensor) → Tensor[source]Ā¶
          
+forward(waveform: Tensor) → Tensor[source]Ā¶
 
          
 
          Parameters:
          
 
          waveform (Tensor) ā€“ Tensor of audio of dimension (ā€¦, time).
          
diff --git a/main/generated/torchaudio.utils.ffmpeg_utils.html b/main/generated/torchaudio.utils.ffmpeg_utils.html
index 5846cbc7202..20b073711a4 100644
--- a/main/generated/torchaudio.utils.ffmpeg_utils.html
+++ b/main/generated/torchaudio.utils.ffmpeg_utils.html
@@ -10,7 +10,7 @@
 
   
   
-  ffmpeg_utils — Torchaudio 2.2.0.dev20240424 documentation
+  ffmpeg_utils — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
          
             
     
          
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
          
     
 
diff --git a/main/generated/torchaudio.utils.sox_utils.html b/main/generated/torchaudio.utils.sox_utils.html
index db19fc2b43c..19102793537 100644
--- a/main/generated/torchaudio.utils.sox_utils.html
+++ b/main/generated/torchaudio.utils.sox_utils.html
@@ -10,7 +10,7 @@
 
   
   
-  sox_utils — Torchaudio 2.2.0.dev20240424 documentation
+  sox_utils — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
          
             
     
          
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
          
     
 
diff --git a/main/generated/torio.io.StreamingMediaDecoder.html b/main/generated/torio.io.StreamingMediaDecoder.html
index 9d72c04e115..c790303986d 100644
--- a/main/generated/torio.io.StreamingMediaDecoder.html
+++ b/main/generated/torio.io.StreamingMediaDecoder.html
@@ -10,7 +10,7 @@
 
   
   
-  StreamingMediaDecoder — Torchaudio 2.2.0.dev20240424 documentation
+  StreamingMediaDecoder — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
          
             
     
          
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
          
     
 
@@ -1184,10 +1184,10 @@ 
          ChunkTensorclass torio.io._streaming_media_decoder.ChunkTensor[source]Ā¶
 
          Decoded media frames with metadata.
          
 
          The instance of this class represents the decoded video/audio frames with
-metadata, and the instance itself behave like Tensor.
          
+metadata, and the instance itself behave like Tensor.
          
 
          Client codes can pass instance of this class as-if itā€™s
-Tensor class, or call the methods defined on
-Tensor class.
          
+Tensor class, or call the methods defined on
+Tensor class.
          
 
          Example
          
 
          >>> # Define input streams
 >>> reader = StreamingMediaDecoder(...)
diff --git a/main/generated/torio.io.StreamingMediaEncoder.html b/main/generated/torio.io.StreamingMediaEncoder.html
index 906bd5b293a..75f2398c6c9 100644
--- a/main/generated/torio.io.StreamingMediaEncoder.html
+++ b/main/generated/torio.io.StreamingMediaEncoder.html
@@ -10,7 +10,7 @@
 
   
   
-  StreamingMediaEncoder — Torchaudio 2.2.0.dev20240424 documentation
+  StreamingMediaEncoder — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
          
             
     
          
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
          
     
 
@@ -812,7 +812,7 @@ 
          write_audio_chunk
 
          
 
          
-StreamingMediaEncoder.write_audio_chunk(i: int, chunk: Tensor, pts: Optional[float] = None)[source]Ā¶
          
+StreamingMediaEncoder.write_audio_chunk(i: int, chunk: Tensor, pts: Optional[float] = None)[source]Ā¶
 
          Write audio data
          
 
          
 
          Parameters:
          
@@ -840,7 +840,7 @@ 
          write_video_chunk
 
          
 
          
-StreamingMediaEncoder.write_video_chunk(i: int, chunk: Tensor, pts: Optional[float] = None)[source]Ā¶
          
+StreamingMediaEncoder.write_video_chunk(i: int, chunk: Tensor, pts: Optional[float] = None)[source]Ā¶
 
          Write video/image data
          
 
          
 
          Parameters:
          
diff --git a/main/generated/torio.utils.ffmpeg_utils.html b/main/generated/torio.utils.ffmpeg_utils.html
index a7fac14349c..85c599eba5a 100644
--- a/main/generated/torio.utils.ffmpeg_utils.html
+++ b/main/generated/torio.utils.ffmpeg_utils.html
@@ -10,7 +10,7 @@
 
   
   
-  ffmpeg_utils — Torchaudio 2.2.0.dev20240424 documentation
+  ffmpeg_utils — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
          
             
     
          
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
          
     
 
diff --git a/main/genindex.html b/main/genindex.html
index 980901289a0..231a2f91a05 100644
--- a/main/genindex.html
+++ b/main/genindex.html
@@ -9,7 +9,7 @@
   
   
   
-  Index — Torchaudio 2.2.0.dev20240424 documentation
+  Index — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -221,7 +221,7 @@
           
          
             
     
          
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
          
     
 
diff --git a/main/index.html b/main/index.html
index 104aee2484c..68580a18be5 100644
--- a/main/index.html
+++ b/main/index.html
@@ -10,7 +10,7 @@
 
   
   
-  Torchaudio Documentation — Torchaudio 2.2.0.dev20240424 documentation
+  Torchaudio Documentation — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
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diff --git a/main/installation.html b/main/installation.html
index 502dffeac3f..311aa2eacda 100644
--- a/main/installation.html
+++ b/main/installation.html
@@ -10,7 +10,7 @@
 
   
   
-  Installing pre-built binaries — Torchaudio 2.2.0.dev20240424 documentation
+  Installing pre-built binaries — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
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diff --git a/main/io.html b/main/io.html
index 17e0eca5d80..7f5214a283b 100644
--- a/main/io.html
+++ b/main/io.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.io — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.io — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
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diff --git a/main/kaldi_io.html b/main/kaldi_io.html
index 95b90437fa8..aa26d289547 100644
--- a/main/kaldi_io.html
+++ b/main/kaldi_io.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.kaldi_io — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.kaldi_io — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
          
             
     
          
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
          
     
 
@@ -437,14 +437,14 @@
   
          
 
          torchaudio.kaldi_ioĀ¶
          
 
          To use this module, the dependency kaldi_io needs to be installed.
-This is a light wrapper around kaldi_io that returns torch.Tensor.
          
+This is a light wrapper around kaldi_io that returns torch.Tensor.
          
 
          
 
          VectorsĀ¶
          
 
          
 
          read_vec_int_arkĀ¶
          
 
          
 
          
-torchaudio.kaldi_io.read_vec_int_ark(file_or_fd: Any) → Iterable[Tuple[str, Tensor]][source]Ā¶
          
+torchaudio.kaldi_io.read_vec_int_ark(file_or_fd: Any) → Iterable[Tuple[str, Tensor]][source]Ā¶
 
          Create generator of (key,vector<int>) tuples, which reads from the ark file/stream.
          
 
          
 
          Parameters:
          
@@ -471,7 +471,7 @@ 
          read_vec_int_arkread_vec_flt_scpĀ¶
          
 
          
 
          
-torchaudio.kaldi_io.read_vec_flt_scp(file_or_fd: Any) → Iterable[Tuple[str, Tensor]][source]Ā¶
          
+torchaudio.kaldi_io.read_vec_flt_scp(file_or_fd: Any) → Iterable[Tuple[str, Tensor]][source]Ā¶
 
          Create generator of (key,vector<float32/float64>) tuples, read according to Kaldi scp.
          
 
          
 
          Parameters:
          
@@ -498,7 +498,7 @@ 
          read_vec_flt_scpread_vec_flt_arkĀ¶
          
 
          
 
          
-torchaudio.kaldi_io.read_vec_flt_ark(file_or_fd: Any) → Iterable[Tuple[str, Tensor]][source]Ā¶
          
+torchaudio.kaldi_io.read_vec_flt_ark(file_or_fd: Any) → Iterable[Tuple[str, Tensor]][source]Ā¶
 
          Create generator of (key,vector<float32/float64>) tuples, which reads from the ark file/stream.
          
 
          
 
          Parameters:
          
@@ -528,7 +528,7 @@ 
          Matricesread_mat_scpĀ¶
          
 
          
 
          
-torchaudio.kaldi_io.read_mat_scp(file_or_fd: Any) → Iterable[Tuple[str, Tensor]][source]Ā¶
          
+torchaudio.kaldi_io.read_mat_scp(file_or_fd: Any) → Iterable[Tuple[str, Tensor]][source]Ā¶
 
          Create generator of (key,matrix<float32/float64>) tuples, read according to Kaldi scp.
          
 
          
 
          Parameters:
          
@@ -555,7 +555,7 @@ 
          read_mat_scpread_mat_arkĀ¶
          
 
          
 
          
-torchaudio.kaldi_io.read_mat_ark(file_or_fd: Any) → Iterable[Tuple[str, Tensor]][source]Ā¶
          
+torchaudio.kaldi_io.read_mat_ark(file_or_fd: Any) → Iterable[Tuple[str, Tensor]][source]Ā¶
 
          Create generator of (key,matrix<float32/float64>) tuples, which reads from the ark file/stream.
          
 
          
 
          Parameters:
          
diff --git a/main/libtorio.html b/main/libtorio.html
index 6d16dba18b6..8774be8a40f 100644
--- a/main/libtorio.html
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+  libtorio — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
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diff --git a/main/libtorio.stream_reader.html b/main/libtorio.stream_reader.html
index 50b5d852619..0d1791de8b2 100644
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+++ b/main/libtorio.stream_reader.html
@@ -10,7 +10,7 @@
 
   
   
-  torio::io::StreamingMediaDecoder — Torchaudio 2.2.0.dev20240424 documentation
+  torio::io::StreamingMediaDecoder — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
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index 094f0ce0d6c..2a4d31cbc1b 100644
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+++ b/main/libtorio.stream_writer.html
@@ -10,7 +10,7 @@
 
   
   
-  torio::io::StreamingMediaEncoder — Torchaudio 2.2.0.dev20240424 documentation
+  torio::io::StreamingMediaEncoder — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
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diff --git a/main/logo.html b/main/logo.html
index 657224701cd..c6e143c6dc9 100644
--- a/main/logo.html
+++ b/main/logo.html
@@ -10,7 +10,7 @@
 
   
   
-  TorchAudio Logo — Torchaudio 2.2.0.dev20240424 documentation
+  TorchAudio Logo — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
          
             
     
          
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
          
     
 
diff --git a/main/models.decoder.html b/main/models.decoder.html
index 10ab661d02a..7ce17258c20 100644
--- a/main/models.decoder.html
+++ b/main/models.decoder.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.models.decoder — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.models.decoder — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
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diff --git a/main/models.html b/main/models.html
index 4a1632bbd7c..6d33c32b841 100644
--- a/main/models.html
+++ b/main/models.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.models — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.models — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
          
             
     
          
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
          
     
 
diff --git a/main/objects.inv b/main/objects.inv
index 4d9afbcf74f..78535ce5fd3 100644
Binary files a/main/objects.inv and b/main/objects.inv differ
diff --git a/main/pipelines.html b/main/pipelines.html
index e35b4a5384b..47c707f2e4d 100644
--- a/main/pipelines.html
+++ b/main/pipelines.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.pipelines — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.pipelines — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
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diff --git a/main/prototype.datasets.html b/main/prototype.datasets.html
index 58a2caa939f..a3c0d9163e3 100644
--- a/main/prototype.datasets.html
+++ b/main/prototype.datasets.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.prototype.datasets — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.prototype.datasets — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
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diff --git a/main/prototype.functional.html b/main/prototype.functional.html
index d65e8af142c..9f262a0b8d2 100644
--- a/main/prototype.functional.html
+++ b/main/prototype.functional.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.prototype.functional — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.prototype.functional — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
          
             
     
          
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+      2.2.0.dev20240503 ▼
     
          
     
 
diff --git a/main/prototype.html b/main/prototype.html
index f29da49ca3f..6d369ae8bf8 100644
--- a/main/prototype.html
+++ b/main/prototype.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.prototype — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.prototype — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
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-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
          
     
 
diff --git a/main/prototype.models.html b/main/prototype.models.html
index 8f44393cfbb..2b1c7473516 100644
--- a/main/prototype.models.html
+++ b/main/prototype.models.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.prototype.models — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.prototype.models — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
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-      2.2.0.dev20240424 ▼
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diff --git a/main/prototype.pipelines.html b/main/prototype.pipelines.html
index 826ff5c81d9..70242f69dc2 100644
--- a/main/prototype.pipelines.html
+++ b/main/prototype.pipelines.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.prototype.pipelines — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.prototype.pipelines — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
          
             
     
          
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
          
     
 
diff --git a/main/prototype.transforms.html b/main/prototype.transforms.html
index 772621a70cf..5b50ccc1982 100644
--- a/main/prototype.transforms.html
+++ b/main/prototype.transforms.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.prototype.transforms — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.prototype.transforms — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
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diff --git a/main/py-modindex.html b/main/py-modindex.html
index 51a7aac170e..96cb106b34b 100644
--- a/main/py-modindex.html
+++ b/main/py-modindex.html
@@ -9,7 +9,7 @@
   
   
   
-  Python Module Index — Torchaudio 2.2.0.dev20240424 documentation
+  Python Module Index — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
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diff --git a/main/references.html b/main/references.html
index 41d338f0bc3..54349cf4d21 100644
--- a/main/references.html
+++ b/main/references.html
@@ -10,7 +10,7 @@
 
   
   
-  References — Torchaudio 2.2.0.dev20240424 documentation
+  References — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
          
             
     
          
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
          
     
 
diff --git a/main/search.html b/main/search.html
index 44ceaeb61a8..aca4a840631 100644
--- a/main/search.html
+++ b/main/search.html
@@ -9,7 +9,7 @@
   
   
   
-  Search — Torchaudio 2.2.0.dev20240424 documentation
+  Search — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -221,7 +221,7 @@
           
          
             
     
          
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
          
     
 
diff --git a/main/searchindex.js b/main/searchindex.js
index 8f5731b81c5..2bd61bb92e5 100644
--- a/main/searchindex.js
+++ b/main/searchindex.js
@@ -1 +1 @@
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"torchaudio.functional.bandreject_biquad", "torchaudio.functional.bass_biquad", "torchaudio.functional.biquad", "torchaudio.functional.compute_deltas", "torchaudio.functional.contrast", "torchaudio.functional.convolve", "torchaudio.functional.create_dct", "torchaudio.functional.dcshift", "torchaudio.functional.deemph_biquad", "torchaudio.functional.deemphasis", "torchaudio.functional.detect_pitch_frequency", "torchaudio.functional.dither", "torchaudio.functional.edit_distance", "torchaudio.functional.equalizer_biquad", "torchaudio.functional.fftconvolve", "torchaudio.functional.filtfilt", "torchaudio.functional.flanger", "torchaudio.functional.forced_align", "torchaudio.functional.frechet_distance", "torchaudio.functional.gain", "torchaudio.functional.griffinlim", "torchaudio.functional.highpass_biquad", "torchaudio.functional.inverse_spectrogram", "torchaudio.functional.lfilter", "torchaudio.functional.linear_fbanks", "torchaudio.functional.loudness", 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47, 56, 69, 70, 75, 76, 87, 88, 94, 100, 102, 104, 105, 106, 107, 109, 113, 116, 122, 136, 200, 207, 208, 214, 215, 216, 218, 225, 232, 233, 243, 244, 250, 252, 253, 261, 270, 271, 272, 273, 284, 285, 288, 292, 293, 313, 314, 318, 319, 320, 321, 324, 326, 327, 330, 331, 332, 335, 337, 340, 341], "n11": 1, "tag": [1, 7, 292, 322, 323, 324, 330, 331, 332, 337, 338, 339, 340], "git": [1, 2, 3, 4], "clone": [1, 2, 4, 304, 327], "videolan": 1, "org": [1, 3, 4, 32, 36, 40, 41, 42, 43, 44, 50, 55, 57, 63, 68, 84, 92, 95, 159, 165, 166, 233, 248, 284, 285, 288, 304, 308, 312, 313, 319, 322, 324, 325, 326, 332, 333, 335, 336, 337, 338, 339, 341, 342], "nv": 1, "cd": [1, 2, 3, 4, 50], "checkout": [1, 4], "10": [1, 9, 10, 11, 35, 37, 52, 58, 82, 101, 105, 114, 119, 128, 129, 130, 131, 142, 159, 169, 170, 171, 180, 183, 186, 196, 197, 200, 207, 211, 215, 243, 244, 271, 284, 285, 288, 292, 304, 312, 313, 314, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 332, 333, 334, 335, 336, 337, 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93, 100, 105, 114, 116, 130, 204, 206, 221, 222, 223, 233, 240, 241, 272, 280, 288, 308, 312, 313, 320, 321, 322, 323, 325, 326, 327, 328, 332, 333, 335, 339, 340, 341], "000000": [1, 337], "bitrat": [1, 95, 243], "1294": 1, "kb": 1, "eng": [1, 338], "high": [1, 9, 10, 213, 271, 304, 314, 321, 322, 326, 327, 331, 332, 338], "avc1": 1, "0x31637661": 1, "yuv420p": [1, 284, 292, 330, 338, 340], "tv": 1, "bt709": 1, "960x540": [1, 330, 338], "sar": 1, "dar": 1, "16": [1, 94, 95, 100, 102, 125, 164, 171, 200, 207, 215, 243, 282, 284, 285, 286, 292, 304, 313, 319, 321, 322, 326, 327, 330, 332, 335, 338, 340, 342], "1156": 1, "29": [1, 171, 313, 321, 327, 328, 330, 331, 333, 337, 338, 342], "97": [1, 9, 10, 11, 51, 81, 239, 251, 268, 313, 321, 326, 327, 328, 330, 336], "fp": [1, 330, 331, 337, 338], "tbr": 1, "30k": 1, "tbn": 1, "59": [1, 171, 313, 321, 327, 328, 330, 336, 338, 342], "94": [1, 313, 321, 327, 328, 330, 336, 342], "tbc": 1, "handler_nam": [1, 338], "mainconcept": [1, 338], "media": [1, 284, 285, 287, 292, 293, 307, 325, 332, 337, 339, 340], "handler": [1, 338], "vendor_id": [1, 338], "lc": 1, "mp4a": 1, "0x6134706d": 1, "48000": [1, 50, 84, 320, 322, 323, 337, 338], "hz": [1, 36, 40, 41, 42, 43, 52, 55, 58, 63, 66, 68, 71, 79, 84, 92, 205, 207, 210, 244, 245, 285, 312, 320, 333, 336, 337, 338], "stereo": [1, 324, 340], "fltp": [1, 284, 292, 322, 332, 337, 338, 340], "128": [1, 101, 102, 104, 111, 114, 192, 193, 194, 224, 236, 238, 239, 242, 243, 256, 258, 262, 263, 318, 320, 321, 324, 325, 327, 337, 338, 340], "sound": [1, 17, 46, 93, 204, 211, 212, 280, 284, 315, 322, 328, 329, 333, 338, 340], "map": [1, 28, 64, 90, 107, 116, 118, 119, 200, 257, 275, 282, 283, 284, 285, 286, 313, 314, 320, 321, 326, 332, 342], "press": [1, 339], "stop": [1, 111, 113, 211, 242, 284, 319, 320, 322, 339], "help": [1, 4, 93, 244, 280, 292, 320, 331, 336, 339], "output": [1, 5, 9, 10, 11, 33, 35, 37, 39, 44, 51, 54, 56, 57, 59, 62, 64, 65, 77, 79, 81, 85, 93, 95, 98, 101, 102, 103, 104, 105, 106, 107, 108, 111, 113, 114, 115, 116, 117, 136, 143, 144, 145, 146, 147, 148, 159, 160, 198, 200, 201, 204, 206, 210, 211, 212, 215, 218, 219, 220, 221, 222, 223, 224, 225, 236, 248, 252, 255, 257, 258, 260, 261, 269, 271, 280, 282, 284, 285, 286, 292, 293, 313, 314, 315, 321, 326, 328, 329, 330, 331, 335, 336, 337, 339, 342], "progress": [1, 342], "31": [1, 101, 111, 171, 313, 315, 320, 321, 326, 327, 328, 330, 336, 342], "5000": [1, 207, 320], "lavc58": 1, "134": [1, 313, 321, 327, 334], "side": [1, 64, 89, 90, 239, 241, 257, 263, 274, 275, 314, 328, 340], "cpb": 1, "max": [1, 23, 37, 47, 56, 58, 59, 85, 101, 104, 107, 111, 118, 172, 173, 212, 215, 250, 252, 269, 312, 327, 333, 341], "min": [1, 23, 47, 56, 69, 70, 250, 252, 313, 336], "avg": 1, "5000000": 1, "buffer": [1, 94, 100, 243, 283, 284, 285, 292, 293, 319, 331, 338, 340], "10000000": 1, "vbv_delai": 1, "frame": [1, 9, 10, 11, 24, 52, 62, 64, 78, 80, 88, 89, 90, 94, 95, 100, 101, 102, 104, 106, 107, 108, 111, 113, 114, 116, 117, 119, 122, 130, 159, 200, 204, 214, 215, 218, 225, 239, 241, 253, 255, 257, 263, 267, 272, 274, 275, 279, 284, 285, 292, 293, 313, 314, 315, 319, 322, 323, 331, 332, 335, 336, 338, 339, 340], "6175": [1, 338], "1712": 1, "lsize": 1, "37935kb": 1, "time": [1, 7, 34, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 49, 50, 52, 53, 55, 57, 58, 59, 61, 62, 63, 64, 65, 67, 68, 69, 70, 72, 77, 78, 79, 80, 82, 83, 84, 88, 89, 90, 91, 92, 93, 95, 98, 100, 102, 103, 105, 108, 109, 110, 111, 113, 114, 116, 117, 122, 159, 173, 201, 204, 207, 208, 210, 211, 214, 216, 220, 223, 238, 239, 240, 241, 242, 243, 244, 245, 249, 253, 255, 256, 257, 258, 259, 260, 261, 262, 263, 266, 267, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 284, 285, 287, 292, 293, 304, 312, 313, 314, 315, 316, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 335, 336, 337, 338, 340, 341, 342], "1508": 1, "5kbit": 1, "speed": [1, 58, 78, 79, 119, 211, 212, 244, 245, 277, 279, 314, 315, 320, 330, 331], "57": [1, 304, 313, 314, 321, 327, 328, 331, 338, 342], "1x": 1, "34502kb": 1, "3234kb": 1, "subtitl": [1, 284, 292], "0kb": 1, "other": [1, 4, 9, 10, 14, 19, 20, 24, 39, 93, 100, 105, 153, 154, 155, 158, 179, 180, 181, 182, 183, 184, 187, 188, 189, 198, 199, 200, 244, 245, 261, 280, 284, 288, 292, 297, 304, 313, 314, 318, 319, 321, 323, 327, 328, 330, 332, 335, 338, 340], "global": [1, 204, 285, 307, 310, 320, 322, 332, 343], "mux": [1, 339], "overhead": [1, 322, 330], "526932": 1, "onc": [1, 95, 271, 284, 285, 292, 319, 323, 324, 327, 328, 335, 338, 340, 342], "properli": [1, 284, 322], "pick": [1, 285, 319, 327, 335], "correctli": [1, 306, 330, 331, 342], "There": [1, 288, 294, 313, 319, 321, 323, 326, 327, 333, 335, 338, 339], "queri": [1, 287, 291, 304, 310], "ffmpeg_util": [1, 2, 100, 243, 324, 330, 331, 340], "get_video_decod": [1, 284, 330], "get_video_encod": [1, 285, 331], "often": [1, 4, 330, 331, 335, 340], "case": [1, 4, 94, 165, 166, 208, 233, 284, 285, 292, 293, 297, 304, 306, 319, 320, 321, 322, 327, 330, 331, 333, 338, 340, 342], "multipl": [1, 3, 4, 6, 79, 83, 95, 191, 192, 193, 194, 285, 288, 293, 307, 319, 320, 321, 323, 325, 326, 327, 330, 335, 337, 338, 340], "load": [1, 6, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 75, 76, 87, 114, 137, 138, 164, 165, 166, 198, 199, 200, 203, 233, 235, 238, 239, 240, 241, 242, 244, 245, 248, 253, 256, 258, 259, 260, 261, 262, 263, 264, 265, 267, 270, 271, 272, 273, 274, 275, 280, 281, 282, 284, 287, 305, 313, 314, 315, 318, 320, 321, 323, 324, 326, 327, 328, 330, 338, 339, 340, 342], "differ": [1, 4, 23, 37, 57, 65, 95, 106, 113, 114, 158, 165, 166, 171, 198, 199, 200, 208, 210, 232, 233, 242, 243, 244, 245, 248, 254, 258, 260, 278, 284, 285, 288, 292, 297, 306, 307, 312, 313, 314, 315, 318, 319, 321, 322, 323, 325, 328, 330, 331, 333, 335, 336, 337, 338, 339, 340, 342], "than": [1, 39, 49, 56, 91, 100, 101, 208, 220, 223, 244, 252, 271, 276, 277, 284, 285, 292, 313, 314, 320, 321, 322, 330, 331, 332, 335, 340], "expect": [1, 7, 9, 10, 11, 37, 62, 73, 74, 78, 98, 118, 119, 122, 134, 159, 165, 166, 173, 198, 199, 200, 235, 255, 264, 279, 284, 285, 293, 313, 322, 326, 328, 331, 332, 335, 338, 340, 342], "get_build_config": [1, 2], "get_vers": [1, 324, 330, 331, 340], "get": [1, 2, 3, 4, 9, 10, 16, 18, 19, 23, 25, 26, 27, 30, 31, 94, 116, 200, 203, 244, 246, 261, 282, 283, 284, 286, 288, 292, 308, 312, 313, 314, 318, 319, 320, 321, 322, 323, 325, 329, 333, 335, 336, 338, 339, 340, 341], "inform": [1, 4, 94, 165, 166, 171, 198, 199, 200, 210, 233, 282, 284, 286, 292, 297, 298, 304, 307, 323, 332, 335, 338], "about": [1, 284, 292, 313, 314, 338, 339, 342], "import": [1, 2, 137, 138, 159, 164, 165, 166, 171, 198, 199, 200, 233, 235, 271, 298, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 330, 331, 332, 333, 335, 336, 337, 338, 339, 340, 341, 342], "print": [1, 2, 159, 164, 165, 166, 171, 198, 282, 286, 304, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 335, 336, 337, 338, 339, 340, 341, 342], "nbuild": 1, "config": [1, 2, 4, 95, 282, 286, 291, 319, 324, 331, 340], "ndecod": 1, "k": [1, 171, 198, 200, 282, 286, 304, 312, 313, 314, 321, 324, 326, 327, 330, 331, 333, 335, 338, 340, 342], "kei": [1, 23, 284, 290, 292, 314, 319, 322, 330, 331, 338, 342], "nencod": 1, "56": [1, 191, 282, 286, 312, 313, 320, 321, 327, 328, 331], "58": [1, 304, 313, 321, 324, 327, 330, 331, 332, 340, 342], "54": [1, 171, 313, 320, 321, 326, 327, 328, 335, 336, 338, 342], "toolchain": [1, 2, 4], "harden": [1, 2], "libdir": [1, 2], "x86_64": [1, 3, 4, 282, 286], "gnu": [1, 2], "incdir": [1, 2], "avresampl": [1, 2], "resampl": [1, 2, 95, 165, 166, 198, 199, 200, 235, 244, 245, 284, 285, 287, 293, 304, 306, 311, 313, 317, 318, 334, 335, 336, 338], "avisynth": [1, 2], "ladspa": [1, 2], "libaom": [1, 2, 282, 286], "libass": [1, 2], "libblurai": [1, 2], "libbs2b": [1, 2], "libcaca": [1, 2], "libcdio": [1, 2], "libcodec2": [1, 2], "libflit": [1, 2], "libfontconfig": [1, 2], "libfreetyp": [1, 2, 282, 286], "libfribidi": [1, 2], "libgm": [1, 2], "libgsm": [1, 2], "libjack": [1, 2], "libmp3lam": [1, 2, 282, 285, 286, 340], "libmysofa": [1, 2], "libopenjpeg": [1, 2], "libopenmpt": [1, 2], "libopu": [1, 2], "libpuls": [1, 2], "librsvg": [1, 2], "librubberband": [1, 2], "libshin": [1, 2], "libsnappi": [1, 2], "libsoxr": [1, 2], "libspeex": [1, 2], "libssh": [1, 2], "libtheora": [1, 2], "libtwolam": [1, 2], "libvidstab": [1, 2], "libvorbi": [1, 2, 285], "libvpx": [1, 2, 282, 286], "libwavpack": [1, 2], "libwebp": [1, 2], "libx265": [1, 2, 282, 286], "libxml2": [1, 2, 282, 286], "libxvid": [1, 2], "libzmq": [1, 2], "libzvbi": [1, 2], "lv2": [1, 2], "omx": [1, 2], "open": [1, 2, 4, 284, 290, 291, 292, 304, 314, 319, 321, 326, 331, 337, 339, 340], "opencl": [1, 2], "opengl": [1, 2, 339], "sdl2": [1, 2, 339], "libdc1394": [1, 2], "libdrm": [1, 2], "libiec61883": [1, 2], "chromaprint": [1, 2], "frei0r": [1, 2], "hevc_cuvid": [1, 330], "mjpeg_cuvid": [1, 330], "mpeg1_cuvid": [1, 330], "mpeg2_cuvid": [1, 330], "mpeg4_cuvid": [1, 330], "vc1_cuvid": [1, 330], "vp8_cuvid": [1, 330], "vp9_cuvid": [1, 330], "nvenc_h264": 1, "nvenc_hevc": 1, "hevc_nvenc": [1, 331], "fine": [1, 22, 106, 113, 137, 142, 153, 154, 155, 156, 157, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 200, 224, 225, 306, 322, 331, 335], "collect": [2, 23, 323, 328], "relat": [2, 4, 284, 285, 292, 328, 332, 342], "nvidia": [2, 4, 111, 330, 331, 342], "embed": [2, 105, 111, 122, 130, 142, 148, 218, 220, 223, 304], "learn": [2, 105, 110, 111, 136, 191, 219, 221, 222, 263, 287, 297, 304, 328, 335, 336], "agx": 2, "orin": 2, "devkit": 2, "date": [2, 4, 292, 307], "instruct": [2, 3, 4, 149, 150, 151, 152, 162, 163, 230, 231, 232, 312, 325, 333, 341], "bash": [2, 4, 326, 342], "echo": [2, 95, 315, 326], "deb": 2, "repo": [2, 342], "common": [2, 8, 162, 163, 282, 286, 292, 295, 301, 304, 311, 312, 316, 318, 319, 328, 330, 333, 338, 342], "r34": 2, "etc": [2, 62, 90, 239, 241, 244, 255, 263, 275, 282, 286, 339, 340], "l4t": 2, "t234": 2, "dist": 2, "upgrad": 2, "reboot": 2, "stabl": [2, 7, 248], "b118": 2, "arm64": [2, 3, 282, 286], "automat": [2, 159, 171, 244, 245, 285, 287, 288, 292, 304, 330, 335, 340], "243": 2, "14": [2, 171, 200, 288, 304, 313, 315, 320, 321, 324, 326, 327, 328, 330, 334, 337, 338, 342], "libcudnn8": 2, "49": [2, 313, 321, 327, 328], "cuda11": 2, "cudnn8": 2, "tegra": 2, "gpu": [2, 4, 117, 287, 320, 330, 331, 342], "isntal": 2, "onli": [2, 3, 4, 9, 10, 11, 49, 56, 59, 62, 64, 65, 75, 76, 87, 88, 90, 93, 98, 100, 111, 114, 116, 137, 198, 212, 243, 244, 245, 252, 254, 255, 256, 261, 266, 270, 272, 273, 278, 280, 282, 284, 285, 286, 288, 292, 293, 308, 312, 313, 314, 318, 319, 320, 322, 326, 328, 332, 335, 336, 340, 342], "super": [2, 244, 245, 311, 313, 323, 335], "sure": [2, 4, 164, 232, 288, 323], "u": [2, 4, 75, 76, 107, 198, 200, 261, 270, 273, 284, 290, 313, 314, 321, 326, 327, 330, 331, 335], "won": [2, 288, 332, 342], "priviledg": 2, "pip3": [2, 328, 329, 336, 342], "ones": [2, 104, 115, 215, 232, 285, 312, 325, 333, 335, 341], "from": [2, 3, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 37, 49, 62, 64, 65, 69, 70, 72, 74, 85, 90, 93, 95, 100, 105, 108, 110, 111, 112, 113, 114, 115, 116, 126, 127, 128, 129, 130, 131, 132, 137, 138, 139, 140, 141, 142, 152, 153, 154, 155, 156, 157, 158, 159, 160, 164, 165, 166, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 198, 199, 200, 201, 204, 206, 208, 209, 210, 211, 214, 219, 221, 222, 232, 233, 234, 235, 240, 241, 242, 243, 244, 248, 254, 255, 256, 257, 258, 260, 261, 265, 267, 269, 271, 275, 277, 278, 279, 280, 282, 283, 284, 285, 286, 287, 288, 290, 292, 293, 294, 297, 298, 304, 307, 312, 313, 314, 315, 317, 318, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 335, 336, 337, 338, 339, 340, 341, 342], "directori": [2, 4, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 203, 288, 328], "its": [2, 13, 26, 35, 51, 75, 76, 81, 87, 111, 118, 207, 208, 211, 251, 268, 270, 273, 284, 285, 292, 297, 307, 312, 313, 315, 319, 320, 323, 326, 327, 328, 332, 337, 338, 340, 342], "site": [2, 342], "packag": [2, 4, 288, 297, 304, 308, 317, 318, 319, 326, 327, 342], "protect": [2, 340], "cannot": [2, 94, 208, 282, 286, 288, 325, 332, 338], "modifi": [2, 46, 62, 78, 255, 279, 304], "One": [2, 17, 53, 95, 137, 261, 281, 284, 285, 293, 321, 322, 330, 340, 342], "wai": [2, 4, 9, 10, 11, 244, 245, 288, 297, 311, 314, 315, 318, 321, 322, 323, 328, 331, 335, 338], "workaround": [2, 3, 4, 284, 342], "forum": 2, "python": [2, 3, 4, 49, 93, 117, 130, 142, 148, 201, 207, 263, 280, 284, 285, 288, 292, 293, 304, 306, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 335, 336, 337, 338, 339, 340, 341, 342], "modul": [2, 4, 58, 79, 101, 106, 107, 109, 110, 113, 134, 137, 138, 159, 164, 171, 179, 180, 181, 182, 183, 184, 185, 186, 187, 198, 199, 200, 214, 215, 220, 223, 233, 245, 250, 252, 261, 270, 273, 277, 282, 283, 286, 287, 288, 290, 295, 297, 298, 301, 306, 307, 308, 310, 311, 313, 315, 318, 319, 320, 323, 329, 335, 336, 337, 342, 343], "folder": [2, 4, 30, 31, 323], "181321": 2, "bootstrap": 2, "pypa": 2, "io": [2, 3, 4, 39, 95, 96, 97, 98, 263, 282, 284, 285, 286, 287, 288, 291, 315, 319, 322, 323, 324, 330, 331, 332, 337, 338, 339, 340], "after": [2, 4, 73, 74, 90, 95, 105, 111, 113, 118, 119, 130, 134, 142, 204, 207, 208, 214, 219, 220, 221, 222, 223, 224, 225, 239, 241, 244, 245, 261, 263, 275, 313, 314, 315, 321, 322, 330, 333], "point": [2, 9, 10, 13, 93, 94, 100, 243, 280, 284, 285, 292, 313, 314, 315, 319, 322, 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320, 321, 322, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 335, 336, 337, 338, 339, 340, 341, 342], "is_avail": [2, 321, 326, 327, 328, 335, 342], "empti": [2, 28, 284, 313, 333, 339], "410ce96a": 2, "12": [2, 4, 26, 80, 171, 200, 207, 215, 240, 241, 267, 288, 304, 313, 314, 315, 321, 326, 327, 329, 330, 333, 336, 337, 338, 342], "true": [2, 6, 9, 10, 11, 13, 17, 39, 40, 41, 47, 56, 57, 62, 64, 65, 75, 76, 79, 82, 85, 87, 88, 90, 95, 100, 104, 105, 111, 122, 130, 142, 159, 200, 206, 213, 215, 218, 225, 238, 239, 240, 241, 242, 243, 244, 245, 248, 250, 252, 253, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 269, 270, 271, 272, 273, 274, 275, 280, 281, 283, 284, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 327, 329, 330, 331, 332, 333, 336, 337, 338, 339, 340, 341, 342], "e": [2, 3, 4, 9, 10, 11, 36, 40, 41, 42, 43, 49, 53, 55, 57, 58, 62, 63, 65, 68, 79, 81, 84, 90, 92, 93, 107, 109, 110, 130, 142, 159, 171, 176, 192, 193, 194, 198, 200, 208, 233, 239, 241, 243, 255, 261, 263, 275, 277, 280, 282, 284, 285, 286, 287, 292, 293, 298, 304, 313, 314, 318, 319, 321, 322, 323, 326, 327, 335, 336, 338, 339, 342], "pep517": [2, 3, 4], "2ead941": 2, "aarch64": [2, 3], "folllow": 3, "en": [3, 4, 36, 40, 41, 42, 43, 44, 55, 63, 67, 68, 92, 175, 259, 304, 312, 314, 325, 332, 338, 341], "miniconda": [3, 4], "select": [3, 26, 94, 100, 243, 261, 304, 307, 329, 337, 341], "version": [3, 4, 15, 28, 59, 95, 115, 121, 123, 124, 125, 210, 217, 234, 282, 286, 288, 304, 312, 323, 328, 330, 331, 339, 340, 342], "nightli": [3, 4, 312, 325, 333, 336, 341], "setup": [3, 4, 320], "due": [3, 4, 29, 130, 284, 292, 323, 328], "complex": [3, 4, 38, 64, 75, 76, 78, 82, 86, 87, 90, 130, 223, 257, 261, 266, 270, 273, 275, 279, 284, 295, 301, 304, 320, 329], "place": [3, 4, 208, 284, 292, 314, 320, 330], "pip": [3, 4, 288, 317, 318, 319, 323], "tri": [3, 4], "architectur": [3, 4, 101, 102, 103, 104, 112, 143, 144, 145, 146, 147, 148, 153, 154, 155, 156, 157, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 195, 196, 197, 215, 219, 221, 222, 227, 228, 229, 304, 323], "your": [3, 4, 167, 168, 169, 170, 271, 294, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 324, 326, 327, 328, 329, 331, 332, 333, 335, 336, 337, 338, 340, 341, 342], "those": [3, 23, 35, 47, 56, 250, 252, 314, 315, 321, 332, 338], "fail": [3, 4, 284, 292, 307, 312, 322, 331, 333, 337, 338, 341], "switch": [3, 4], "singl": [3, 4, 37, 38, 79, 94, 114, 130, 142, 245, 261, 270, 273, 284, 285, 292, 297, 315, 319, 329, 339], "must": [3, 4, 9, 10, 11, 35, 39, 47, 56, 57, 59, 62, 65, 90, 93, 94, 100, 104, 114, 118, 122, 136, 202, 207, 208, 211, 212, 213, 215, 218, 225, 230, 239, 241, 243, 250, 252, 253, 255, 263, 275, 278, 279, 280, 284, 285, 293, 298, 304, 314, 318, 326, 332, 337, 338, 339, 340, 342], "user": [3, 4, 7, 30, 31, 54, 159, 212, 282, 286, 292, 297, 307, 313, 336], "ffmpeg_root": [3, 4], "specifi": [3, 4, 9, 10, 11, 37, 75, 76, 85, 87, 95, 98, 159, 243, 269, 270, 273, 284, 285, 288, 292, 293, 307, 319, 329, 330, 331, 337, 338, 339, 340], "forg": [3, 4, 288, 323], "conda_prefix": [3, 4], "microsoft": 4, "visual": [4, 287, 313, 318, 323, 325, 328, 335, 338], "manag": [4, 285, 288], "visualstudio": 4, "section": [4, 26, 301, 304, 313, 314, 320, 327, 330, 338, 340, 342], "commun": 4, "edit": [4, 54, 332], "cl": [4, 304], "sake": [4, 66, 71, 327, 332, 335, 340], "similar": [4, 5, 36, 40, 41, 42, 43, 46, 49, 50, 55, 58, 63, 68, 77, 79, 84, 92, 93, 244, 245, 280, 285, 292, 293, 315, 319, 320, 330, 331, 338, 340, 342], "experi": [4, 330], "three": [4, 211, 212, 261, 285, 293, 297, 314, 323, 329, 332, 336, 338, 340, 342], "step": [4, 44, 59, 80, 108, 111, 118, 119, 267, 278, 297, 313, 314, 320, 321, 322, 323, 326, 327, 328, 329, 332, 335, 338, 340, 342], "prompt": [4, 342], "combin": [4, 153, 154, 155, 179, 180, 181, 182, 183, 184, 187, 188, 189, 282, 286, 312, 315, 321, 324, 327, 328, 329, 338], "known": 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56, 57, 65, 69, 70, 78, 83, 93, 95, 116, 118, 119, 148, 153, 154, 155, 156, 157, 159, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 203, 208, 211, 220, 223, 232, 245, 247, 250, 252, 261, 277, 280, 292, 293, 297, 312, 313, 314, 318, 319, 320, 321, 322, 326, 327, 330, 335, 336, 337, 338, 340, 342], "everyth": [4, 337], "readi": [4, 284], "illustr": [4, 198, 208, 297, 318, 319, 321, 323, 324, 326, 327, 332, 337, 340, 342], "come": [4, 314, 328, 332], "major": [4, 7, 320, 330, 331], "codec": [4, 39, 94, 95, 282, 284, 285, 286, 287, 292, 293, 307, 319, 322, 323, 330, 332, 336, 337, 338], "decod": [4, 9, 54, 73, 83, 88, 100, 102, 105, 108, 111, 113, 116, 117, 118, 119, 120, 159, 161, 198, 264, 272, 282, 284, 285, 286, 287, 289, 292, 297, 307, 309, 319, 322, 323, 324, 331, 332, 334, 335, 336, 337, 338], "regular": [4, 333, 338, 340], "find": [4, 167, 168, 169, 170, 287, 292, 320, 331], "yourself": 4, "might": [4, 244, 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284, 292, 314, 319, 321, 322, 327, 338], "qe": 4, "2020": [4, 14, 22, 23, 83, 101, 113, 130, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 153, 154, 156, 157, 162, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 196, 197, 216, 226, 227, 228, 229, 232, 304, 336, 339], "devel": 4, "filesystem": 4, "2023": [4, 65, 158, 162, 163, 287, 304, 336], "pkgconf": 4, "succe": 4, "result": [4, 17, 35, 39, 47, 54, 56, 66, 71, 78, 83, 90, 93, 95, 100, 116, 118, 119, 126, 127, 128, 129, 130, 131, 132, 137, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 171, 173, 205, 207, 208, 210, 213, 219, 220, 221, 222, 223, 224, 225, 232, 244, 245, 247, 250, 252, 257, 275, 279, 280, 284, 285, 292, 293, 304, 312, 313, 314, 319, 320, 321, 322, 324, 325, 326, 335, 338, 341], "previou": [4, 261, 284, 315, 321, 330, 332, 335, 342], "oper": [5, 7, 8, 47, 56, 75, 130, 142, 148, 207, 208, 210, 250, 252, 261, 270, 307, 330, 338, 339], "variou": [5, 95, 105, 307, 312, 313, 324, 332, 333, 336, 340], "ident": [5, 9, 10, 11, 75, 76, 87, 211, 212, 261, 270, 273, 313, 314, 319, 326], "paramet": [5, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 98, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 134, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 160, 161, 165, 166, 167, 169, 170, 171, 172, 173, 192, 193, 194, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 218, 219, 220, 221, 222, 223, 224, 225, 226, 233, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 247, 248, 249, 250, 251, 252, 253, 254, 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218, 220, 223, 225, 239, 240, 241, 243, 244, 245, 254, 255, 257, 258, 260, 261, 263, 266, 269, 270, 272, 273, 275, 278, 283, 284, 292, 313, 323], "fals": [9, 10, 11, 12, 13, 15, 17, 19, 20, 21, 22, 24, 25, 26, 28, 29, 30, 31, 32, 40, 41, 53, 65, 79, 85, 88, 100, 101, 104, 111, 118, 130, 142, 213, 215, 239, 241, 244, 254, 257, 258, 260, 261, 263, 266, 269, 272, 275, 278, 285, 312, 313, 314, 315, 321, 322, 323, 324, 325, 326, 327, 329, 331, 332, 333, 336, 337, 339, 340, 341, 342], "low_freq": [9, 10], "20": [9, 10, 37, 77, 93, 104, 171, 200, 215, 224, 277, 280, 304, 313, 314, 320, 321, 326, 327, 328, 329, 330, 332, 336, 340, 342], "min_dur": [9, 10, 11], "num_mel_bin": [9, 10, 314], "preemphasis_coeffici": [9, 10, 11], "raw_energi": [9, 10, 11], "remove_dc_offset": [9, 10, 11], "round_to_power_of_two": [9, 10, 11], "sample_frequ": [9, 10, 11], "16000": [9, 10, 11, 23, 212, 238, 239, 242, 245, 256, 258, 260, 262, 263, 271, 277, 292, 306, 311, 314, 315, 317, 319, 322, 329, 332, 335, 336, 338], "snip_edg": [9, 10, 11, 314], "subtract_mean": [9, 10, 11], "use_energi": [9, 10], "use_log_fbank": 9, "use_pow": 9, "vtln_high": [9, 10], "500": [9, 10, 19, 20, 153, 154, 155, 167, 168, 169, 170, 179, 180, 181, 182, 183, 184, 187, 188, 189, 212, 313, 314, 320, 323], "vtln_low": [9, 10], "vtln_warp": [9, 10], "window_typ": [9, 10, 11], "str": [9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 39, 45, 47, 48, 53, 56, 58, 59, 64, 71, 83, 85, 90, 94, 95, 98, 99, 100, 102, 104, 105, 112, 116, 117, 118, 119, 120, 122, 123, 124, 125, 130, 134, 136, 142, 148, 161, 172, 198, 200, 202, 203, 205, 210, 215, 218, 223, 225, 238, 239, 241, 242, 243, 244, 245, 246, 248, 249, 250, 252, 253, 256, 257, 258, 260, 261, 262, 263, 269, 271, 275, 281, 282, 283, 284, 285, 286, 290, 313, 314, 320, 322, 323, 326, 327, 328, 330, 331, 335], "povei": [9, 10, 11, 304], "raw": [9, 10, 11, 90, 113, 116, 159, 237, 239, 263, 279, 282, 285, 286, 315, 319, 323, 326, 330, 331, 337, 338], "signal": [9, 10, 11, 35, 46, 51, 57, 62, 64, 65, 73, 74, 77, 81, 83, 89, 90, 91, 93, 94, 212, 238, 239, 240, 241, 242, 247, 255, 256, 257, 258, 259, 260, 262, 263, 264, 265, 271, 274, 275, 276, 277, 280, 287, 304, 315, 318, 320, 328, 329, 333, 336, 338], "match": [9, 10, 11, 35, 47, 56, 88, 95, 110, 208, 250, 252, 285, 288, 293, 304, 319, 326, 330, 336, 338, 339, 340, 342], "feat": [9, 10, 11, 314, 323, 332, 335], "rang": [9, 10, 11, 46, 49, 53, 57, 58, 65, 77, 79, 100, 107, 159, 278, 283, 292, 312, 313, 314, 315, 318, 319, 320, 321, 322, 324, 325, 327, 330, 333, 337, 338, 339, 340, 341, 342], "option": [9, 10, 11, 12, 13, 14, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 35, 36, 37, 39, 40, 41, 42, 43, 45, 46, 47, 48, 49, 51, 52, 53, 55, 56, 57, 58, 59, 61, 62, 63, 64, 65, 68, 69, 70, 71, 75, 76, 77, 79, 80, 81, 82, 83, 85, 87, 88, 90, 91, 92, 93, 94, 95, 98, 100, 101, 102, 104, 105, 106, 107, 108, 111, 112, 113, 114, 115, 116, 118, 119, 126, 127, 128, 129, 130, 131, 132, 134, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 171, 173, 198, 200, 203, 204, 205, 206, 210, 211, 212, 213, 214, 215, 219, 221, 222, 223, 224, 225, 238, 239, 240, 241, 242, 243, 244, 245, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 292, 293, 319, 323, 328, 330, 331, 332, 337, 338, 339, 340], "constant": [9, 10, 11, 41, 93, 95, 104, 122, 210, 215, 225, 280, 312, 328, 332, 333], "coeffici": [9, 10, 11, 44, 45, 48, 51, 57, 65, 66, 71, 75, 76, 81, 87, 211, 212, 249, 251, 258, 260, 261, 268, 270, 273], "blackman": [9, 10, 11], "mono": [9, 10, 11], "left": [9, 10, 11, 60, 88, 104, 122, 215, 225, 272, 292, 314, 330, 332], "right": [9, 10, 11, 48, 60, 104, 107, 122, 159, 215, 225, 314, 322, 325, 330, 332, 337, 340], "turn": [9, 10, 11, 33, 37, 159, 238, 248, 262, 314, 315], "g": [9, 10, 11, 36, 40, 41, 42, 43, 49, 55, 57, 58, 62, 63, 65, 68, 79, 84, 90, 92, 93, 109, 110, 159, 198, 200, 233, 239, 241, 255, 263, 275, 280, 284, 287, 298, 304, 313, 314, 321, 326, 327, 330, 335, 337, 338, 340], "floor": [9, 10, 11, 69, 70, 211, 212], "energi": [9, 10, 11, 53, 90, 211, 212, 239, 241, 318, 340], "absolut": [9, 10, 11], "rel": [9, 10, 11, 75, 79, 86, 87, 148, 204, 270, 313, 315, 325, 329, 332], "spectrogram": [9, 10, 37, 45, 62, 64, 69, 70, 78, 88, 105, 111, 114, 159, 171, 173, 232, 233, 236, 238, 239, 240, 241, 242, 249, 254, 255, 256, 257, 258, 260, 261, 262, 263, 272, 278, 279, 297, 302, 304, 306, 311, 312, 315, 316, 317, 319, 320, 321, 329, 333, 337, 340, 341], "caution": [9, 10, 11], "appli": [9, 10, 11, 38, 39, 46, 47, 49, 50, 53, 56, 57, 58, 61, 62, 64, 66, 69, 70, 71, 75, 76, 77, 79, 80, 84, 85, 87, 88, 89, 90, 101, 104, 106, 107, 108, 113, 122, 130, 142, 164, 200, 205, 208, 213, 214, 215, 219, 220, 221, 222, 223, 225, 239, 241, 243, 244, 245, 250, 252, 254, 255, 257, 258, 261, 263, 267, 269, 270, 272, 273, 274, 275, 277, 278, 279, 284, 285, 287, 292, 293, 304, 311, 312, 318, 324, 325, 328, 330, 337, 338, 341], "zeroth": [9, 10, 11], "compon": [9, 10, 11, 159, 164, 214, 232, 233, 287, 297, 312, 313, 314, 322, 323, 328, 332, 335, 337, 341, 342], "repres": [9, 10, 11, 75, 76, 87, 101, 104, 107, 108, 116, 117, 159, 165, 166, 171, 172, 198, 199, 200, 207, 211, 212, 214, 215, 233, 270, 273, 284, 313, 315, 318, 320, 321, 327, 329, 330, 333, 335, 336, 340, 342], "individu": [9, 10, 11, 323], "element": [9, 10, 11, 35, 91, 101, 104, 107, 122, 130, 167, 168, 169, 170, 215, 225, 247, 276, 277, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 324, 326, 327, 328, 329, 332, 333, 335, 336, 337, 340, 341, 342], "fix": [9, 10, 11, 212], "std": [9, 10, 11, 29, 292, 293, 328], "numeric_limit": [9, 10, 11], "epsilon": [9, 10, 11, 122, 218, 329, 336], "length": [9, 10, 11, 23, 35, 45, 52, 54, 59, 62, 64, 80, 85, 89, 90, 91, 94, 101, 104, 106, 107, 108, 111, 113, 114, 116, 117, 122, 130, 159, 160, 171, 172, 173, 208, 212, 214, 215, 216, 218, 221, 222, 223, 225, 233, 239, 241, 247, 249, 253, 254, 255, 257, 263, 267, 269, 274, 275, 276, 277, 278, 279, 321, 322, 323, 326, 327, 328, 329, 332, 342], "millisecond": [9, 10, 11, 58, 79], "shift": [9, 10, 11, 49, 58, 80, 244, 245, 267], "cutoff": [9, 10, 37, 63, 68, 213, 320, 325], "frequenc": [9, 10, 11, 36, 38, 40, 41, 42, 43, 52, 55, 63, 66, 68, 71, 82, 83, 89, 91, 92, 102, 105, 173, 205, 206, 207, 209, 210, 211, 212, 213, 238, 239, 240, 242, 254, 256, 258, 260, 261, 262, 263, 266, 270, 271, 273, 274, 276, 277, 304, 315, 318, 320, 321, 324, 328, 329, 336, 337, 340], "mel": [9, 10, 48, 71, 111, 159, 171, 205, 232, 233, 239, 256, 260, 262, 263, 302, 304, 311], "offset": [9, 10, 49, 284, 292, 293, 320, 341], "nyquist": [9, 10, 83, 271, 312, 320, 325, 333, 341], "put": [9, 10, 288, 322, 323, 339], "last": [9, 10, 47, 51, 56, 65, 69, 70, 81, 95, 200, 250, 251, 252, 268, 314, 321, 327, 331, 337, 342], "warn": [9, 10, 282, 283, 286, 312, 340, 342], "suffici": [9, 10, 328], "htk": [9, 10, 71, 94, 256, 262, 263, 318, 319], "low": [9, 10, 104, 124, 213, 304, 322, 338, 341], "segment": [9, 10, 11, 47, 56, 104, 107, 122, 159, 215, 225, 250, 252, 319, 321, 322, 326, 332], "second": [9, 10, 11, 47, 54, 56, 65, 93, 159, 166, 211, 244, 245, 250, 252, 280, 284, 292, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 335, 336, 337, 338, 339, 340, 341, 342], "number": [9, 10, 11, 23, 26, 37, 48, 52, 59, 62, 66, 69, 70, 71, 73, 74, 78, 80, 90, 94, 95, 100, 101, 102, 103, 104, 105, 107, 108, 111, 112, 113, 114, 115, 118, 119, 122, 130, 134, 142, 148, 159, 204, 205, 206, 207, 208, 211, 212, 215, 216, 218, 220, 221, 222, 223, 225, 238, 239, 240, 241, 242, 243, 248, 255, 256, 258, 260, 262, 263, 264, 265, 267, 275, 279, 284, 285, 288, 292, 293, 297, 312, 313, 314, 315, 318, 319, 320, 322, 326, 329, 330, 331, 333, 336, 338, 340, 341], "triangular": [9, 10, 53, 58, 66, 71, 79, 205, 238, 256, 262, 263], "preemphasi": [9, 10, 11, 51], "befor": [9, 10, 11, 33, 37, 93, 100, 111, 130, 142, 159, 204, 248, 280, 284, 285, 292, 293, 294, 306, 314, 322, 323, 327, 330, 336, 339, 340], "subtract": [9, 10, 11, 208, 209, 213, 287, 312, 325, 333, 334], "each": [9, 10, 11, 30, 31, 35, 37, 51, 59, 62, 64, 66, 71, 78, 80, 81, 85, 89, 90, 101, 104, 105, 106, 107, 108, 109, 111, 113, 114, 116, 117, 118, 119, 122, 130, 142, 165, 166, 171, 172, 173, 198, 199, 200, 205, 208, 211, 214, 215, 216, 218, 220, 221, 222, 223, 225, 233, 239, 241, 254, 255, 257, 263, 267, 269, 274, 275, 278, 284, 285, 288, 292, 301, 306, 307, 313, 314, 318, 321, 322, 323, 326, 327, 328, 330, 332, 335, 337, 338, 340, 342], "round": [9, 10, 11, 320], "power": [9, 10, 11, 33, 37, 62, 75, 76, 82, 86, 87, 90, 93, 239, 241, 248, 255, 261, 263, 266, 270, 273, 275, 279, 280, 281, 284, 311, 314, 315, 317, 318, 328, 329, 332, 338, 340, 341], "two": [9, 10, 11, 31, 36, 40, 41, 42, 44, 47, 54, 56, 60, 64, 69, 70, 89, 90, 98, 116, 130, 142, 239, 241, 250, 252, 257, 261, 263, 274, 275, 284, 285, 314, 319, 320, 323, 327, 329, 335, 340], "zero": [9, 10, 11, 23, 62, 85, 111, 204, 208, 255, 269, 304, 312, 320, 321, 322, 323, 325, 327, 328, 330, 332, 333, 341], "pad": [9, 10, 11, 23, 45, 57, 64, 65, 85, 89, 90, 95, 104, 107, 111, 159, 215, 239, 241, 244, 249, 257, 263, 269, 274, 275, 322, 323, 332], "fft": [9, 10, 11, 56, 62, 64, 80, 89, 90, 105, 159, 239, 241, 252, 255, 257, 263, 267, 274, 275, 297, 325, 340], "end": [9, 10, 11, 34, 88, 93, 95, 103, 112, 116, 130, 142, 159, 208, 233, 244, 272, 280, 284, 304, 312, 315, 319, 321, 322, 323, 326, 327, 328, 329, 332, 338, 340], "effect": [9, 10, 11, 43, 46, 58, 64, 65, 75, 76, 77, 79, 87, 88, 92, 93, 95, 100, 243, 244, 245, 246, 261, 270, 272, 273, 280, 283, 284, 285, 287, 292, 317, 320, 321, 328, 332, 337], "handl": [9, 10, 11, 15, 29, 100, 243, 284, 285, 292, 307, 319, 320, 338], "fit": [9, 10, 11, 319], "depend": [9, 10, 11, 37, 48, 64, 85, 93, 100, 173, 243, 248, 257, 258, 260, 269, 280, 282, 284, 285, 286, 290, 292, 306, 308, 321, 322, 324, 326, 328, 329, 330, 332, 335, 337, 338, 339, 340, 342], "reflect": [9, 10, 11, 64, 90, 211, 212, 239, 241, 257, 263, 275, 317, 318, 320], "cm": [9, 10, 11, 325], "dimens": [9, 10, 35, 36, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 49, 50, 51, 52, 53, 55, 56, 57, 58, 61, 62, 63, 64, 65, 67, 68, 69, 70, 75, 76, 77, 78, 79, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 92, 93, 100, 101, 102, 103, 104, 106, 107, 108, 109, 110, 111, 112, 113, 114, 122, 130, 134, 136, 142, 200, 208, 211, 212, 215, 216, 218, 219, 220, 221, 222, 223, 224, 225, 238, 239, 240, 241, 242, 244, 245, 249, 250, 251, 252, 253, 255, 256, 257, 258, 259, 260, 261, 262, 263, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 279, 280, 281, 297, 321, 326, 335, 340], "log": [9, 59, 113, 119, 200, 201, 258, 260, 282, 286, 313, 315, 320, 325, 327, 331, 333], "filterbank": [9, 48, 66, 71, 205, 238, 239, 242, 256, 262, 263], "els": [9, 39, 100, 312, 313, 320, 321, 323, 324, 325, 326, 327, 328, 330, 331, 332, 333, 335, 336, 341, 342], "linear": [9, 10, 58, 62, 66, 77, 94, 142, 179, 180, 181, 182, 183, 184, 185, 186, 187, 225, 242, 243, 253, 255, 256, 258, 304, 319, 328, 333, 340], "magnitud": [9, 62, 64, 66, 71, 89, 90, 102, 209, 239, 241, 248, 255, 257, 263, 274, 275, 304, 325, 328, 329, 340, 341], "inflect": [9, 10], "piecewis": [9, 10], "vtln": [9, 10], "warp": [9, 10], "neg": [9, 10, 37, 104, 113, 214, 215, 221, 222, 223, 248, 292, 320], "freq": [9, 10, 37, 38, 45, 52, 62, 64, 69, 70, 75, 76, 78, 82, 86, 87, 88, 90, 238, 242, 249, 255, 256, 257, 261, 262, 266, 270, 272, 273, 275, 279, 312, 318, 320, 329, 333], "factor": [9, 10, 78, 91, 105, 106, 122, 130, 216, 218, 243, 276, 277, 285, 313, 341], "applic": [9, 10, 54, 88, 116, 254, 271, 272, 278, 284, 287, 304, 307, 315, 319, 320, 321, 336, 338, 341], "vtln_map": [9, 10], "ham": [9, 10, 11, 213, 325], "han": [9, 10, 11, 304], "rectangular": [9, 10, 11, 53], "return": [9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 159, 160, 161, 165, 166, 171, 172, 173, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 233, 235, 236, 237, 238, 239, 240, 241, 242, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 279, 281, 282, 283, 284, 285, 286, 290, 292, 306, 311, 312, 313, 314, 315, 317, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 335, 336, 337, 338, 340, 341, 342], "what": [9, 10, 11, 234, 285, 293, 313, 314, 318, 321, 335, 338, 339, 342], "shape": [9, 10, 11, 35, 37, 47, 48, 51, 53, 56, 57, 59, 60, 65, 72, 75, 76, 78, 80, 81, 83, 87, 88, 91, 93, 95, 98, 100, 101, 102, 104, 105, 106, 107, 108, 111, 113, 114, 116, 117, 118, 119, 160, 164, 172, 173, 201, 204, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 236, 237, 244, 245, 247, 250, 251, 252, 253, 267, 268, 270, 271, 273, 276, 277, 280, 284, 285, 292, 293, 313, 314, 315, 318, 319, 321, 328, 329, 330, 333, 335, 336, 338, 339, 340, 342], "calcul": [9, 10, 11, 54, 258, 260, 328], "_get_strid": [9, 10, 11], "asr": [9, 54, 83, 100, 104, 107, 108, 113, 116, 117, 118, 119, 120, 150, 153, 154, 159, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 198, 200, 230, 231, 287, 289, 296, 298, 304, 309, 327, 334, 335, 337], "infer": [9, 54, 83, 94, 100, 113, 116, 117, 118, 119, 120, 122, 150, 159, 171, 198, 230, 231, 233, 234, 235, 243, 244, 267, 287, 296, 297, 298, 319, 326, 334, 342], "ctc": [9, 34, 54, 59, 72, 83, 85, 100, 113, 116, 117, 118, 119, 120, 198, 200, 269, 287, 297, 304, 326, 327, 334, 335, 336], "cepstral_lift": 10, "22": [10, 200, 207, 282, 285, 286, 304, 313, 320, 321, 326, 327, 328, 331, 335, 342], "num_cep": 10, "control": [10, 43, 46, 64, 77, 83, 90, 92, 105, 130, 142, 208, 239, 241, 257, 263, 271, 275, 284, 304, 322, 331, 340, 341], "cepstra": 10, "c0": 10, "fbank": [10, 314, 318], "padded_window_s": 11, "class": [12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 34, 85, 94, 95, 98, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 116, 117, 130, 143, 144, 145, 146, 147, 159, 160, 161, 164, 165, 166, 171, 172, 173, 198, 199, 200, 201, 202, 203, 214, 215, 216, 233, 235, 236, 237, 238, 239, 240, 241, 242, 244, 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140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 162, 163, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 203, 211, 212, 215, 216, 219, 221, 222, 226, 227, 228, 229, 230, 231, 232, 234, 235, 236, 254, 255, 261, 273, 277, 278, 279, 311, 314, 321, 336], "al": [12, 14, 16, 17, 18, 19, 20, 22, 23, 24, 25, 27, 28, 29, 30, 31, 62, 65, 76, 101, 103, 104, 106, 111, 112, 113, 114, 116, 126, 127, 128, 129, 130, 131, 132, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 162, 163, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 203, 211, 212, 215, 216, 219, 221, 222, 226, 227, 228, 229, 230, 231, 232, 234, 235, 236, 254, 255, 261, 273, 277, 278, 279, 311, 314, 321, 336], "2003": [12, 239, 304], "allow": [12, 19, 20, 26, 28, 46, 49, 50, 54, 58, 77, 79, 84, 93, 94, 100, 130, 171, 223, 280, 284, 285, 307, 313, 314, 315, 319, 320, 322, 330, 331, 342], "ahw": 12, "aup": 12, "awb": 12, "axb": 12, "bdl": 12, "clb": 12, "eei": 12, "fem": 12, "gka": 12, "jmk": 12, "ksp": 12, "ljm": 12, "lnh": 12, "rm": 12, "rxr": 12, "slp": 12, "slt": [12, 304], "top": [12, 15, 17, 18, 19, 20, 21, 24, 25, 26, 27, 29, 32, 108, 116, 142, 159, 203, 225, 292, 293, 307, 308, 313, 314, 330, 333, 336, 340], "level": [12, 15, 17, 18, 19, 20, 21, 24, 25, 26, 27, 29, 32, 54, 93, 203, 204, 211, 280, 282, 283, 285, 286, 292, 293, 307, 308, 322, 326, 333, 338], "whether": [12, 13, 15, 17, 19, 20, 21, 22, 24, 25, 26, 28, 29, 30, 31, 32, 64, 90, 116, 118, 130, 142, 216, 220, 223, 239, 241, 254, 257, 258, 260, 263, 275, 278, 313], "tupl": [12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 59, 91, 100, 101, 104, 106, 107, 108, 111, 113, 114, 116, 130, 142, 148, 160, 172, 173, 198, 200, 203, 214, 215, 216, 226, 244, 245, 276, 277, 282, 284, 286, 290, 319], "th": [12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 38, 64, 90, 101, 104, 107, 203, 207, 215, 239, 241, 257, 263, 270, 273, 275, 304, 314], "rate": [12, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 36, 39, 40, 41, 42, 43, 50, 52, 55, 58, 63, 66, 67, 68, 71, 78, 79, 80, 84, 89, 92, 93, 94, 95, 98, 100, 105, 123, 124, 125, 159, 164, 165, 166, 173, 198, 199, 200, 203, 205, 206, 210, 212, 216, 233, 235, 237, 238, 239, 240, 241, 242, 243, 244, 245, 256, 258, 259, 260, 262, 263, 267, 274, 279, 280, 284, 285, 292, 293, 297, 312, 315, 316, 317, 318, 319, 320, 321, 322, 324, 326, 327, 328, 329, 331, 332, 333, 335, 336, 337, 338, 339, 341, 342], "transcript": [12, 16, 19, 21, 22, 27, 28, 29, 107, 108, 122, 159, 181, 184, 198, 201, 202, 218, 313, 314, 322, 323, 327, 332], "utter": [12, 15, 18, 19, 20, 22, 26, 29, 31, 88, 104, 215, 272, 315], "exclude_punctu": 13, "svn": 13, "sf": 13, "net": [13, 36, 40, 41, 42, 43, 46, 49, 50, 58, 77, 79, 84, 92, 93, 243, 280, 283, 304, 336], "p": [13, 69, 70, 102, 171, 198, 200, 278, 284, 287, 304, 313, 314, 321, 322, 323, 326, 327, 335, 336, 342], "cmusphinx": 13, "trunk": 13, "7b": 13, "url_symbol": 13, "pronounc": 13, "dictionari": [13, 14, 118, 165, 166, 171, 198, 199, 200, 233, 290, 297, 304, 321, 327, 335, 337], "weid": [13, 304], "1998": [13, 304], "exclud": [13, 298], "pronounci": 13, "punctuat": [13, 326], "exclam": 13, "hash": 13, "mark": [13, 304, 306], "phonem": [13, 28, 168, 170, 171, 288, 297, 321], "aa": [13, 282, 286], "ae": 13, "ah": [13, 171, 342], "word": [13, 28, 54, 116, 117, 118, 158, 202, 313, 314, 318, 326, 335], "tsv": 14, "train": [14, 15, 16, 17, 19, 20, 23, 24, 26, 27, 28, 30, 102, 104, 105, 106, 107, 111, 112, 114, 130, 142, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 214, 215, 221, 222, 223, 230, 231, 232, 233, 234, 235, 287, 295, 297, 301, 304, 313, 314, 315, 319, 321, 326, 327, 328, 332, 335, 336, 342], "ardila": [14, 191, 192, 193, 194, 304], "present": [14, 284, 285, 292, 293, 314, 320, 321, 323, 340], "construct": [14, 118, 149, 150, 151, 152, 159, 162, 163, 164, 165, 166, 198, 199, 200, 230, 231, 232, 233, 235, 292, 293, 295, 301, 321, 325, 330, 335, 337], "invalid": [14, 284], "valid": [14, 16, 17, 24, 26, 27, 28, 35, 47, 56, 91, 101, 104, 106, 107, 108, 111, 113, 114, 116, 117, 118, 119, 120, 130, 134, 142, 171, 172, 173, 208, 210, 214, 215, 243, 246, 247, 250, 252, 256, 276, 277, 283, 284, 285, 292, 338, 342], "dict": [14, 28, 116, 200, 239, 241, 242, 255, 257, 258, 260, 263, 267, 274, 275, 282, 283, 284, 285, 286, 328], "client_id": 14, "sentenc": [14, 54, 111, 116], "up_vot": 14, "down_vot": 14, "ag": [14, 314], "gender": 14, "accent": 14, "subset": [15, 16, 17, 22, 23, 24, 25, 26, 27, 28, 30, 164, 174, 175, 176, 177, 178, 179, 180, 182, 183, 185, 186, 203, 304, 306], "datashar": [15, 29], "ed": [15, 29, 314], "ac": [15, 29, 30, 31, 282, 286, 338], "uk": [15, 29, 30, 31, 333], "10283": [15, 29], "3038": 15, "dr": 15, "vctk": [15, 29, 304], "zip": [15, 29, 30, 31, 245, 313, 318, 320, 321, 324, 325, 326, 327, 328, 330, 331, 342], "record": [15, 49, 93, 211, 280, 304, 315, 332, 337], "small": [15, 65, 219, 221, 271, 304, 314, 320, 322, 325, 327], "sarfjoo": [15, 304], "yamagishi": [15, 29, 163, 304], "2018": [15, 26, 27, 111, 114, 211, 212, 304, 338], "noisi": [15, 38, 261, 315], "speaker": [15, 16, 18, 19, 20, 22, 23, 26, 27, 28, 29, 30, 31, 285, 304, 339, 340], "fluent": 16, "speech": [16, 21, 26, 29, 35, 75, 76, 83, 86, 87, 93, 100, 101, 102, 103, 104, 109, 110, 111, 112, 113, 114, 158, 159, 165, 166, 167, 168, 169, 170, 171, 191, 198, 203, 215, 219, 221, 222, 232, 255, 257, 261, 263, 266, 270, 271, 273, 275, 277, 280, 287, 288, 304, 313, 314, 317, 321, 322, 323, 327, 332, 334], "lugosch": [16, 304], "action": 16, "filepath": [16, 18, 19, 25, 26, 27, 30, 31, 203], "otherwis": [16, 18, 19, 25, 26, 27, 30, 31, 39, 57, 62, 65, 69, 70, 85, 91, 94, 95, 100, 130, 142, 203, 206, 208, 210, 213, 240, 241, 243, 244, 255, 269, 276, 277, 284, 285, 292, 293, 328], "field": [16, 18, 19, 25, 26, 27, 30, 31, 203, 313], "opihi": 17, "uvic": 17, "ca": [17, 314], "genr": [17, 304], "none": [17, 18, 24, 25, 26, 27, 35, 37, 39, 48, 49, 59, 62, 64, 71, 75, 78, 80, 82, 83, 85, 90, 91, 93, 94, 95, 98, 100, 104, 106, 107, 108, 111, 113, 114, 116, 118, 120, 122, 126, 127, 128, 129, 130, 131, 132, 134, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 159, 165, 166, 171, 173, 198, 199, 200, 204, 206, 210, 212, 214, 215, 224, 225, 233, 238, 239, 240, 241, 242, 243, 244, 247, 248, 255, 256, 257, 258, 260, 261, 262, 263, 266, 267, 269, 271, 274, 275, 276, 277, 279, 280, 284, 285, 292, 293, 312, 313, 315, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333], "tzanetaki": [17, 304], "2001": [17, 304], "marsya": 17, "info": [17, 73, 74, 264, 265, 282, 286, 287, 319], "plan": [17, 307, 319], "publish": [17, 153, 154, 155, 156, 157, 158, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 232, 332, 342], "octob": 17, "current": [17, 44, 59, 88, 93, 98, 104, 107, 108, 114, 116, 204, 211, 215, 272, 280, 284, 285, 307, 308, 327, 330, 336], "connect": [17, 114, 284], "error": [17, 53, 65, 210, 282, 285, 286, 292, 293, 306, 321, 322, 329, 331, 336, 338], "entir": [17, 113, 288, 308, 324, 328], "label": [17, 18, 26, 27, 30, 31, 32, 59, 85, 106, 113, 116, 117, 130, 198, 200, 269, 297, 306, 313, 316, 318, 320, 321, 325, 335, 341], "session": 18, "utterance_typ": 18, "busso": [18, 304], "2008": [18, 304], "improvis": 18, "both": [18, 39, 64, 85, 90, 150, 152, 211, 230, 231, 239, 241, 257, 263, 269, 275, 292, 293, 313, 320, 322, 323, 329, 330, 331, 332, 338], "neu": 18, "hap": 18, "ang": 18, "sad": [18, 313, 332], "exc": 18, "fru": 18, "panayotov": [19, 150, 153, 154, 155, 179, 180, 181, 182, 183, 184, 185, 187, 188, 189, 195, 304], "2015": [19, 25, 62, 150, 153, 154, 155, 179, 180, 181, 182, 183, 184, 185, 187, 188, 189, 195, 203, 255, 277, 304], "dowload": [19, 20, 26], "360": [19, 20, 23, 153, 154, 155, 179, 180, 181, 182, 183, 184, 187, 188, 189, 330, 331, 337, 338, 339], "chapter": [19, 20, 22], "zen": [20, 304], "origin": [20, 26, 62, 64, 83, 91, 114, 125, 130, 137, 138, 142, 151, 152, 153, 154, 155, 156, 157, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 208, 232, 234, 254, 255, 257, 271, 276, 277, 278, 279, 285, 313, 317, 318, 320, 321, 323, 327, 328, 329, 330, 332, 338, 340, 342], "text": [20, 29, 35, 38, 45, 51, 59, 60, 64, 75, 76, 81, 90, 111, 114, 159, 161, 167, 168, 169, 170, 171, 172, 212, 232, 233, 239, 241, 255, 257, 261, 263, 270, 273, 275, 287, 288, 304, 312, 313, 314, 321, 323, 326, 334, 340], "normal": [20, 21, 48, 52, 54, 57, 60, 64, 65, 71, 82, 88, 90, 100, 108, 122, 130, 142, 198, 199, 202, 206, 218, 223, 238, 239, 240, 241, 242, 244, 245, 248, 253, 256, 257, 258, 259, 260, 262, 263, 264, 265, 266, 267, 271, 272, 274, 275, 280, 281, 304, 312, 315, 323, 327, 328, 333, 339, 340, 341], "keithito": [21, 304], "bz2": 21, "wav": [21, 27, 30, 31, 39, 95, 100, 137, 138, 171, 233, 238, 239, 240, 241, 242, 243, 244, 245, 248, 253, 256, 258, 259, 260, 262, 263, 264, 265, 267, 271, 272, 274, 275, 280, 281, 285, 313, 314, 315, 317, 318, 319, 321, 324, 326, 327, 328, 329, 335, 336, 337, 338, 339, 340], "ito": [21, 167, 168, 169, 170, 232, 304], "johnson": [21, 167, 168, 169, 170, 232, 304], "2017": [21, 30, 31, 167, 168, 169, 170, 232, 234, 235, 236, 261, 292, 304], "10min": [22, 180, 183, 186], "libri": [22, 153, 154, 156, 157, 180, 183, 185, 186, 187, 190, 196, 197, 304], "light": [22, 153, 154, 156, 157, 180, 183, 185, 186, 187, 190, 196, 197, 290, 304, 314], "kahn": [22, 116, 153, 154, 156, 157, 180, 183, 185, 186, 187, 190, 196, 197, 287, 304], "hubert": [22, 106, 126, 127, 128, 129, 131, 132, 137, 153, 154, 155, 156, 157, 224, 225, 304, 335], "hsu": [22, 106, 126, 127, 128, 129, 131, 132, 153, 154, 155, 156, 157, 304], "2021": [22, 65, 104, 105, 106, 126, 127, 128, 129, 131, 132, 143, 144, 145, 151, 152, 153, 154, 155, 156, 157, 163, 174, 175, 176, 177, 178, 192, 193, 194, 196, 197, 230, 287, 304, 321, 328, 333], "supervis": [22, 110, 136, 219, 221, 222, 287, 304, 335], "tune": [22, 106, 113, 137, 142, 153, 154, 155, 156, 157, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 200, 206, 212, 224, 225, 240, 241, 335], "1h": 22, "10h": 22, "num_speak": 23, "sample_r": [23, 36, 39, 40, 41, 42, 43, 50, 52, 55, 58, 63, 66, 67, 68, 71, 79, 80, 84, 89, 92, 93, 94, 95, 98, 114, 171, 205, 206, 210, 212, 237, 238, 239, 240, 241, 242, 243, 244, 245, 248, 253, 256, 258, 259, 260, 262, 263, 264, 265, 267, 271, 272, 274, 275, 280, 281, 284, 285, 292, 293, 298, 311, 312, 313, 314, 315, 316, 318, 319, 320, 321, 322, 323, 324, 326, 327, 328, 329, 332, 333, 335, 336, 337, 338, 339, 340, 341, 342], "8000": [23, 210, 212, 244, 245, 284, 306, 311, 315, 319, 337, 338, 340], "task": [23, 30, 31, 219, 221, 222, 295, 297, 301, 304, 323, 326, 335, 336], "sep_clean": 23, "mode": [23, 40, 45, 47, 56, 64, 107, 108, 111, 130, 142, 148, 249, 250, 252, 257, 284, 292, 307, 319, 330, 336, 337], "cosentino": [23, 149, 304], "libri2mix": [23, 149, 164], "libri3mix": 23, "store": [23, 53, 116, 117, 292, 313, 327, 328, 330], "Not": 23, "determin": [23, 216, 261, 285, 293, 313, 314, 315, 318, 320, 338], "travers": [23, 327], "s1": 23, "sn": 23, "subdirectori": 23, "ha": [23, 39, 66, 71, 74, 100, 125, 171, 244, 245, 265, 283, 284, 285, 288, 292, 293, 307, 314, 315, 318, 319, 320, 321, 323, 325, 327, 328, 330, 333, 335, 337, 338, 339, 340, 342], "rais": [23, 284, 306, 312, 333, 336, 338, 341], "valueerror": 23, "enh_singl": 23, "enh_both": 23, "sep_noisi": 23, "mixtur": [23, 24, 105, 164, 304, 328], "maximum": [23, 37, 66, 69, 70, 71, 100, 104, 107, 108, 111, 119, 122, 148, 204, 205, 212, 215, 225, 238, 239, 242, 248, 254, 256, 258, 260, 262, 263, 278, 285, 313, 314, 327, 338], "manual": [23, 239, 340, 342], "jorisco": 23, "mix": [23, 105, 328], "split": [24, 37, 102, 105, 171, 208, 248, 258, 260, 313, 314, 321, 326, 337, 340], "rafii": [24, 151, 152, 304], "bass": [24, 43, 105, 328, 333], "drum": [24, 105, 328], "vocal": [24, 105, 328], "consist": [24, 25, 35, 118, 174, 175, 176, 177, 178, 258, 260, 297, 313, 314, 323, 338], "track": 24, "occur": [24, 118, 321, 327, 335], "respect": [24, 26, 30, 105, 211, 212, 261, 284, 328], "num": [24, 106, 113], "languag": [25, 116, 118, 120, 158, 174, 175, 176, 177, 178, 192, 193, 194, 287, 304, 321, 326, 335, 336, 338], "nnenglish": 25, "miro": [25, 304], "eval": [25, 313, 314, 323, 342], "albanian": 25, "basqu": 25, "czech": 25, "romanian": 25, "slovak": 25, "speech_commands_v0": 26, "02": [26, 49, 244, 312, 313, 315, 316, 321, 328, 333, 334, 336, 342], "warden": [26, 304], "whole": [26, 61, 95, 100, 243, 314, 322, 342], "defin": [26, 75, 76, 85, 89, 212, 244, 245, 269, 270, 273, 274, 284, 292, 293, 297, 302, 311, 312, 313, 315, 318, 320, 322, 323, 326, 330, 331, 333, 335, 336, 337, 339, 340, 342], "validation_list": 26, "txt": [26, 30, 31, 118, 119, 313, 326], "testing_list": 26, "rest": [26, 327, 333, 340], "explain": [26, 58, 79, 315, 321, 332, 335], "readm": 26, "introduct": [26, 319], "paper": [26, 102, 115, 130, 142, 232, 287, 304, 313, 314, 321, 329, 335, 342], "audio_format": 27, "mp3": [27, 94, 95, 100, 235, 243, 285, 292, 319, 332, 338, 340], "couck": [27, 304], "insid": 27, "outsid": [27, 85, 269], "begin": [27, 208, 307, 312, 319, 321, 327, 338], "iob": 27, "intent": 27, "release1": 28, "audio_ext": [28, 29], "sph": [28, 319], "rousseau": [28, 231, 304], "2012": [28, 85, 231, 269, 304], "release2": 28, "release3": 28, "some": [28, 29, 83, 261, 271, 285, 288, 292, 295, 301, 307, 311, 312, 313, 314, 315, 320, 321, 322, 328, 329, 331, 333, 338, 339, 341], "talk": [28, 314, 315, 322], "identifi": [28, 284], "mic_id": 29, "mic2": 29, "3443": 29, "corpu": [29, 304, 327], "92": [29, 171, 304, 312, 313, 321, 326, 327, 328, 331, 342], "flac": [29, 94, 100, 243, 285, 319, 326], "microphon": [29, 211, 212, 284, 287, 292, 315, 322, 323, 337, 338], "mic1": 29, "convert": [29, 33, 37, 95, 100, 113, 159, 168, 170, 171, 213, 232, 233, 237, 240, 244, 248, 261, 284, 285, 293, 311, 313, 318, 321, 326, 330, 337, 338, 340, 342], "non": [29, 35, 77, 83, 100, 102, 104, 107, 109, 110, 115, 122, 150, 159, 163, 215, 219, 221, 222, 230, 231, 284, 285, 287, 292, 298, 304, 306, 314, 321, 322, 326, 333, 334, 340, 341], "p315": 29, "skip": [29, 100, 119, 130], "lack": [29, 284], "p280": 29, "p362": 29, "meta_url": [30, 31], "robot": [30, 31], "ox": [30, 31], "vgg": [30, 31], "voxceleb": [30, 31, 304], "meta": [30, 31, 152, 297], "iden_split": 30, "voxceleb1": [30, 31], "nagrani": [30, 31, 304], "identif": [30, 304], "row": [30, 31, 48, 314, 320, 330], "file_path": 30, "id10006": 30, "nlebbc9oif": 30, "00003": 30, "subest": 30, "structur": [30, 31, 291, 295, 301, 332], "speaker_id": [30, 31], "who": [30, 31, 314, 321, 331, 332], "vox1_dev_wav": [30, 31], "vox1_test_wav": [30, 31], "veri_test": 31, "verif": 31, "pair": [31, 35, 288, 314, 320], "indic": [31, 49, 69, 70, 106, 113, 114, 116, 208, 214, 245, 254, 278, 284, 285, 292, 293, 306, 313, 314, 335, 337, 338, 342], "file_path1": 31, "file_path2": 31, "id10270": 31, "x6uyqmx31k": 31, "00001": 31, "8jeajg6segi": 31, "00008": 31, "openslr": [32, 304], "resourc": [32, 284, 285, 292, 304, 335, 338], "waves_yesno": 32, "x": [33, 35, 37, 44, 47, 51, 56, 60, 66, 71, 74, 78, 81, 102, 103, 109, 112, 171, 198, 200, 205, 216, 240, 248, 250, 252, 265, 287, 313, 314, 320, 321, 323, 326, 327, 330, 331, 335, 336, 337, 340, 342], "decibel": [33, 37, 61, 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4, 7, 15, 18, 44, 47, 56, 69, 70, 75, 76, 87, 88, 94, 100, 102, 104, 105, 106, 107, 109, 113, 116, 122, 136, 200, 207, 208, 214, 215, 216, 218, 225, 232, 233, 243, 244, 250, 252, 253, 261, 270, 271, 272, 273, 284, 285, 288, 292, 293, 313, 314, 318, 319, 320, 321, 324, 326, 327, 330, 331, 332, 335, 337, 340, 341], "n11": 1, "tag": [1, 7, 292, 322, 323, 324, 330, 331, 332, 337, 338, 339, 340], "git": [1, 2, 3, 4], "clone": [1, 2, 4, 304, 327], "videolan": 1, "org": [1, 3, 4, 32, 36, 40, 41, 42, 43, 44, 50, 55, 57, 63, 68, 84, 92, 95, 159, 165, 166, 233, 248, 284, 285, 288, 304, 308, 312, 313, 319, 322, 324, 325, 326, 332, 333, 335, 336, 337, 338, 339, 341, 342], "nv": 1, "cd": [1, 2, 3, 4, 50], "checkout": [1, 4], "10": [1, 9, 10, 11, 35, 37, 52, 58, 82, 101, 105, 114, 119, 128, 129, 130, 131, 142, 159, 169, 170, 171, 180, 183, 186, 196, 197, 200, 207, 211, 215, 243, 244, 271, 284, 285, 288, 292, 304, 312, 313, 314, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 332, 333, 334, 336, 337, 338, 340, 341, 342], "sudo": [1, 2], "locat": [1, 3, 4, 14, 16, 288, 319, 323, 327, 328, 340], "chang": [1, 7, 9, 10, 39, 78, 100, 105, 115, 200, 243, 244, 245, 279, 280, 282, 283, 284, 285, 286, 292, 293, 298, 304, 307, 315, 318, 319, 325, 327, 328, 330, 331, 337, 338, 340, 341, 342], "prefix": [1, 2, 282, 286], "desired_directori": 1, "remot": [1, 338], "enumer": [1, 164, 318, 321, 327, 330, 331, 332, 335, 338, 342], "object": [1, 16, 94, 100, 109, 120, 137, 138, 148, 159, 165, 166, 171, 198, 199, 200, 233, 239, 241, 243, 244, 245, 255, 257, 263, 267, 274, 275, 284, 285, 287, 292, 293, 307, 318, 321, 322, 329, 335, 342], "819": 1, "done": [1, 64, 284, 297, 327, 336], "count": [1, 314], "100": [1, 9, 10, 19, 20, 23, 43, 46, 58, 77, 88, 108, 128, 153, 154, 155, 159, 164, 165, 166, 171, 179, 180, 181, 182, 183, 184, 185, 187, 188, 189, 198, 199, 200, 221, 222, 233, 239, 255, 257, 272, 282, 286, 313, 314, 315, 316, 319, 320, 321, 322, 324, 325, 327, 328, 329, 330, 331, 332, 335, 336, 340, 342], "compress": [1, 39, 46, 91, 95, 105, 243, 276, 277, 284, 285, 319], "697": 1, "total": [1, 9, 10, 11, 118, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342], "delta": [1, 45, 249, 320, 325], "439": 1, "reus": [1, 83], "receiv": [1, 112, 338, 339], "156": [1, 321, 327], "42": [1, 9, 10, 11, 159, 304, 313, 316, 321, 327, 335, 336, 338, 342], "kib": 1, "410": 1, "resolv": [1, 314, 321], "out": [1, 4, 105, 253, 271, 294, 311, 314, 320, 322, 323, 327, 328, 332, 342], "detach": [1, 321, 326, 327, 328, 342], "head": [1, 101, 104, 122, 130, 134, 142, 215, 218, 220, 223, 225, 314], "state": [1, 104, 107, 108, 116, 159, 215, 284, 310, 313, 322, 323, 332, 343], "experiment": 1, "commit": [1, 7], "discard": [1, 284], "ani": [1, 23, 93, 280, 284, 290, 292, 314, 319, 321, 332, 337], "impact": 1, "branch": [1, 105, 109], "anoth": [1, 271, 314, 320, 326, 328, 332], "If": [1, 3, 4, 9, 10, 11, 17, 18, 23, 24, 25, 27, 33, 35, 37, 39, 40, 41, 54, 57, 64, 65, 71, 75, 76, 79, 80, 82, 85, 87, 88, 90, 91, 94, 95, 98, 100, 106, 108, 111, 113, 114, 116, 118, 119, 130, 142, 171, 200, 206, 207, 208, 210, 211, 212, 213, 214, 220, 223, 225, 238, 240, 241, 243, 244, 256, 257, 261, 262, 263, 266, 267, 269, 270, 271, 272, 273, 275, 276, 277, 279, 281, 284, 285, 287, 288, 292, 293, 294, 306, 307, 308, 313, 319, 322, 323, 327, 330, 332, 335, 337, 338, 340], "want": [1, 3, 4, 54, 93, 280, 294, 306, 308, 314, 322, 326, 335, 338, 340], "creat": [1, 9, 10, 11, 23, 48, 62, 64, 66, 71, 80, 90, 116, 171, 200, 205, 206, 209, 213, 239, 241, 245, 255, 257, 258, 260, 263, 267, 274, 275, 288, 290, 313, 320, 321, 322, 323, 325, 328, 330, 332, 333, 340, 341, 342], "new": [1, 4, 83, 95, 116, 245, 301, 307, 314, 321, 331], "retain": [1, 48, 258, 260, 271], "mai": [1, 7, 37, 54, 62, 93, 94, 100, 167, 168, 169, 170, 248, 255, 258, 260, 261, 271, 280, 282, 284, 286, 292, 306, 313, 314, 319, 322, 329, 332, 338, 340], "do": [1, 3, 4, 9, 10, 11, 267, 284, 294, 304, 308, 314, 319, 322, 326, 328, 330, 331, 332, 333, 337, 338], "now": [1, 2, 4, 244, 282, 286, 312, 313, 314, 320, 321, 326, 327, 330, 331, 333, 335, 338, 339, 340], "b": [1, 59, 62, 67, 101, 102, 104, 107, 118, 119, 198, 200, 215, 255, 259, 284, 285, 304, 313, 314, 315, 316, 319, 321, 324, 326, 327, 328, 329, 330, 332, 335, 336, 337, 340, 342], "command": [1, 2, 4, 16, 26, 243, 244, 245, 284, 285, 292, 293, 304, 315, 322, 326, 330, 338, 339, 340, 342], "again": [1, 292, 314, 318, 332, 335, 339], "exampl": [1, 6, 30, 31, 45, 59, 69, 72, 78, 95, 101, 104, 111, 112, 114, 116, 118, 119, 137, 138, 159, 164, 165, 166, 167, 168, 169, 170, 171, 198, 199, 200, 204, 207, 215, 232, 233, 235, 237, 238, 239, 240, 241, 242, 244, 245, 246, 248, 253, 254, 255, 256, 257, 258, 259, 260, 262, 263, 264, 265, 267, 269, 271, 272, 274, 275, 277, 278, 279, 280, 281, 282, 284, 285, 286, 288, 290, 292, 293, 294, 297, 304, 306, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 325, 326, 327, 328, 329, 330, 331, 332, 333, 335, 336, 339, 341, 342], "315ad74": 1, "add": [1, 2, 4, 9, 10, 35, 75, 76, 82, 88, 105, 207, 244, 245, 247, 253, 266, 267, 270, 272, 273, 284, 285, 293, 312, 313, 315, 322, 328, 330, 340, 342], "cumemcpi": 1, "sed": [1, 313], "usr": [1, 2], "local": [1, 2, 3, 4, 288, 308, 312, 319, 320, 325, 328, 333, 341], "ffnvcodec": 1, "pc": 1, "0755": 1, "d": [1, 2, 32, 59, 104, 105, 107, 108, 151, 152, 159, 171, 198, 200, 208, 212, 215, 287, 290, 304, 313, 314, 321, 324, 326, 327, 333, 335, 339, 340, 342], "includ": [1, 2, 4, 10, 18, 27, 59, 93, 130, 142, 214, 280, 284, 292, 313, 314, 319, 321, 326, 328], "0644": 1, "h": [1, 38, 75, 102, 171, 198, 200, 261, 270, 273, 284, 285, 292, 293, 304, 313, 314, 321, 324, 325, 326, 327, 330, 335, 336, 337, 338, 342], "lib": [1, 2, 4, 324, 342], "pkgconfig": 1, "next": [1, 159, 313, 314, 321, 322, 323, 325, 326, 327, 328, 330, 332, 333, 335, 337, 340], "dure": [1, 106, 108, 130, 142, 214, 285, 292, 297, 306, 332], "minimum": [1, 9, 10, 11, 23, 37, 66, 71, 75, 76, 88, 130, 205, 223, 238, 239, 242, 248, 256, 258, 261, 262, 263, 270, 272, 273, 329, 330, 340], "yasm": [1, 4], "addition": [1, 284, 297, 320, 333], "h264": [1, 284, 285, 330, 338], "protocol": [1, 282, 285, 286, 293, 307], "which": [1, 2, 4, 6, 17, 18, 22, 23, 33, 47, 56, 69, 70, 91, 94, 95, 105, 109, 110, 111, 114, 122, 142, 165, 166, 171, 198, 199, 200, 204, 210, 211, 212, 216, 218, 225, 232, 233, 250, 252, 256, 264, 276, 277, 282, 283, 284, 285, 286, 288, 290, 292, 293, 297, 307, 312, 313, 314, 315, 317, 319, 320, 321, 322, 323, 325, 326, 327, 328, 329, 330, 331, 332, 333, 335, 337, 338, 339, 340, 341, 342], "verifi": [1, 2, 306], "apt": [1, 2], "qq": 1, "updat": [1, 2, 4, 261, 327], "y": [1, 35, 38, 44, 47, 51, 56, 60, 81, 198, 200, 250, 252, 261, 270, 273, 284, 287, 304, 313, 314, 318, 320, 321, 326, 327, 330, 332, 335, 336, 337], "libx264": [1, 2, 282, 286, 331, 340], "dev": [1, 2, 14, 19, 20, 23, 25, 28, 30], "libgnutls28": 1, "omit": [1, 284, 338], "breviti": 1, "strip": [1, 2, 313, 326], "libavutil": [1, 2, 282, 286, 288, 324, 330, 331, 340], "share": [1, 2, 282, 286, 297], "set": [1, 3, 4, 9, 10, 11, 17, 23, 24, 44, 62, 75, 76, 85, 87, 93, 95, 102, 115, 118, 122, 151, 152, 164, 168, 208, 212, 218, 255, 261, 269, 270, 273, 280, 282, 283, 284, 285, 286, 288, 292, 293, 297, 304, 307, 312, 318, 320, 325, 326, 327, 328, 331, 333, 335, 337, 338, 339, 342], "up": [1, 2, 4, 78, 98, 103, 119, 207, 208, 277, 279, 284, 304, 307, 312, 315, 318, 319, 322, 323, 327, 332, 335], "amd64": 1, "152": [1, 321, 327], "2854": 1, "gite9a5903": 1, "3": [1, 18, 28, 30, 70, 78, 79, 87, 102, 111, 120, 130, 142, 159, 200, 207, 211, 212, 216, 221, 222, 231, 243, 282, 283, 284, 285, 286, 288, 292, 304, 307, 311, 312, 313, 314, 316, 317, 318, 320, 321, 324, 325, 326, 327, 330, 331, 333, 335, 337, 338, 340, 342], "2build1": 1, "libunbound2": 1, "1ubuntu2": 1, "libp11": 1, "kit": 1, "23": [1, 9, 10, 171, 174, 175, 176, 177, 178, 200, 260, 304, 313, 321, 326, 327, 330, 336, 342], "9": [1, 165, 200, 207, 277, 279, 285, 288, 304, 312, 313, 314, 315, 317, 318, 321, 325, 326, 327, 328, 330, 331, 332, 333, 335, 336, 337, 340, 341, 342], "2ubuntu0": 1, "libtasn1": 1, "libgnutlsxx28": 1, "18": [1, 200, 207, 233, 304, 313, 321, 326, 327, 328, 331, 334, 336, 337, 342], "1ubuntu1": 1, "libgnutl": 1, "dane0": 1, "openssl27": 1, "libgmpxx4ldbl": 1, "dfsg": 1, "libidn2": 1, "1ubuntu0": 1, "libgmp": 1, "nettl": 1, "0ubuntu0": [1, 2], "trigger": [1, 93, 280, 284, 340], "man": [1, 314, 332], "db": [1, 33, 35, 43, 55, 58, 61, 77, 79, 92, 244, 247, 258, 260, 281, 329, 336, 341], "8": [1, 2, 4, 75, 76, 95, 100, 102, 104, 105, 114, 124, 128, 129, 131, 169, 170, 200, 207, 215, 242, 243, 269, 270, 273, 282, 284, 286, 288, 292, 304, 311, 312, 313, 314, 321, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 335, 337, 338, 340, 341, 342], "libc": 1, "bin": [1, 2, 4, 9, 10, 38, 62, 71, 78, 80, 90, 105, 111, 114, 118, 173, 205, 206, 211, 238, 239, 240, 241, 242, 255, 256, 257, 262, 263, 267, 270, 273, 274, 275, 282, 286, 297, 304, 313, 318, 326], "27": [1, 171, 200, 304, 313, 320, 321, 326, 327, 331, 332, 333, 334, 336, 338, 342], "3ubuntu1": 1, "download": [1, 2, 4, 6, 12, 13, 15, 17, 19, 20, 21, 22, 24, 25, 26, 28, 29, 30, 31, 32, 120, 159, 165, 166, 171, 198, 199, 200, 233, 235, 288, 294, 312, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 330, 331, 332, 333, 335, 336, 337, 338, 339, 340, 341, 342], "sourc": [1, 2, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 151, 152, 153, 154, 155, 156, 157, 159, 164, 165, 166, 171, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 233, 235, 238, 239, 240, 241, 242, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 290, 292, 304, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 339, 340, 341, 342], "wget": [1, 2], "q": [1, 36, 40, 41, 42, 43, 55, 63, 68, 92, 198, 200, 304, 313, 314, 321, 322, 323, 326, 327, 335, 339, 341], "archiv": 1, "ref": [1, 33, 328], "n4": [1, 288], "tar": [1, 17, 21, 32, 319], "gz": [1, 17, 32, 319], "xf": 1, "provid": [1, 2, 3, 4, 64, 95, 100, 106, 113, 114, 116, 130, 142, 159, 165, 166, 171, 198, 199, 200, 214, 220, 223, 225, 233, 243, 244, 261, 271, 279, 284, 285, 287, 292, 293, 295, 298, 301, 307, 313, 314, 315, 316, 318, 319, 320, 321, 322, 324, 327, 328, 330, 331, 335, 336, 337, 338, 339, 340, 342], "flag": [1, 7], "like": [1, 3, 4, 7, 94, 100, 158, 165, 166, 207, 233, 243, 244, 283, 284, 285, 297, 306, 307, 313, 314, 315, 320, 326, 330, 331, 335, 342], "l": [1, 35, 47, 56, 59, 102, 116, 117, 171, 198, 200, 247, 250, 252, 304, 313, 314, 321, 325, 326, 327, 335, 342], "lib64": 1, "let": [1, 284, 285, 292, 314, 315, 318, 321, 325, 326, 327, 330, 331, 333, 335, 338, 341], "know": [1, 314, 319, 330, 331, 338], "where": [1, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 35, 38, 45, 47, 56, 59, 62, 69, 70, 75, 76, 87, 95, 100, 116, 117, 203, 208, 211, 212, 216, 233, 250, 252, 255, 261, 270, 273, 275, 279, 284, 285, 293, 312, 313, 314, 319, 320, 327, 330, 333, 336, 338], "nvcc": 1, "75": [1, 46, 313, 321, 324, 327, 337, 342], "script": [1, 4, 18, 149, 150, 167, 168, 169, 170, 230, 231, 245, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 335, 336, 337, 338, 339, 340, 341, 342], "sampl": [1, 2, 6, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 36, 39, 40, 41, 42, 43, 50, 52, 55, 58, 63, 66, 67, 68, 69, 70, 71, 79, 80, 84, 89, 92, 93, 94, 95, 98, 100, 108, 111, 114, 123, 124, 125, 159, 164, 165, 166, 172, 173, 198, 199, 200, 203, 205, 206, 210, 212, 214, 221, 222, 223, 233, 235, 237, 238, 239, 240, 241, 242, 243, 244, 245, 254, 256, 258, 259, 260, 262, 263, 267, 274, 277, 278, 280, 284, 285, 292, 293, 297, 313, 314, 315, 316, 318, 319, 320, 322, 328, 332, 333, 335, 338, 339, 340, 342], "By": [1, 2, 3, 4, 100, 258, 260, 318, 319, 320, 330, 337, 338, 339, 340, 341], "old": [1, 284, 292, 314, 338], "30": [1, 52, 58, 78, 171, 314, 315, 321, 323, 327, 330, 334, 335, 337, 338, 340, 342], "longer": [1, 320, 328], "correct": [1, 94, 243, 282, 286, 288, 306, 319, 327], "ccap": 1, "extra": [1, 2, 9, 10, 131, 132, 142, 152, 154, 157, 179, 180, 181, 182, 183, 184, 185, 186, 187, 225, 307, 321, 328, 331, 336], "cflag": 1, "ldflag": 1, "nvccflag": 1, "gencod": 1, "arch": [1, 2, 282, 286], "compute_": 1, "sm_": 1, "o2": 1, "aac": [1, 282, 286, 338, 339], "h264_cuvid": [1, 284, 292, 330], "rawvideo": [1, 323, 337], "indev": [1, 322, 337], "lavfi": [1, 282, 286, 292, 330, 331, 337, 339], "h264_nvenc": [1, 285, 293, 331], "demux": [1, 282, 284, 286, 339], "mov": [1, 340], "muxer": [1, 282, 285, 286, 293, 339, 340], "mp4": [1, 285, 292, 307, 330, 331, 337, 338, 339, 340], "filter": [1, 2, 36, 40, 41, 42, 44, 50, 53, 55, 57, 63, 65, 66, 68, 71, 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180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 232, 288, 317, 329, 335], "unredistribut": 1, "clean": [1, 15, 19, 20, 110, 153, 154, 155, 159, 166, 179, 180, 181, 182, 183, 184, 185, 187, 188, 189, 315, 322, 323, 336], "j": [1, 4, 198, 200, 287, 304, 313, 314, 321, 326, 327, 332, 335, 336, 337, 338], "libavdevic": [1, 2, 98, 324, 330, 331, 337, 340], "libavfilt": [1, 2, 282, 286, 324, 330, 331, 337, 338, 339, 340], "libavformat": [1, 2, 282, 286, 324, 330, 331, 340], "libavcodec": [1, 2, 324, 330, 331, 340], "libswresampl": 1, "libswscal": 1, "built": [1, 2, 4, 239, 241, 255, 257, 263, 267, 274, 275], "hide_bann": 1, "grep": [1, 2], "vf": 1, "264": [1, 284, 313, 330, 338], "avc": [1, 284, 338], "mpeg": [1, 94, 284, 319, 332, 338, 340], "part": [1, 7, 160, 161, 172, 173, 208, 211, 216, 284, 285, 292, 313, 314, 321, 326, 330, 332, 337, 338], "v": [1, 2, 3, 4, 37, 69, 70, 75, 198, 200, 248, 258, 260, 261, 270, 282, 284, 286, 287, 304, 313, 314, 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332, 335], "abl": [1, 47, 56, 245, 250, 252, 313, 314, 319, 331], "either": [1, 4, 29, 48, 57, 58, 65, 90, 118, 171, 243, 261, 285, 293, 313, 314, 324, 338, 342], "src": [1, 243, 284, 292, 312, 315, 317, 318, 319, 321, 322, 323, 324, 327, 330, 331, 332, 335, 336, 337, 338, 339, 340], "asset": [1, 313, 314, 315, 317, 318, 319, 321, 323, 324, 326, 327, 328, 329, 330, 332, 335, 336, 337, 338, 339, 340], "stream": [1, 104, 107, 108, 122, 150, 159, 215, 230, 231, 261, 285, 287, 290, 291, 293, 298, 304, 319, 322, 323, 324, 330, 331], "nasas_most_scientifically_complex_space_observatory_requires_precis": [1, 330, 337, 338, 339], "mp4_small": [1, 330, 339], "vsync": 1, "hwaccel_output_format": 1, "resiz": [1, 293, 323], "360x240": 1, "copi": [1, 288, 330, 340], "5m": [1, 313, 314, 332, 336, 342], "mean": [1, 9, 10, 11, 26, 30, 31, 60, 66, 71, 85, 88, 106, 110, 148, 205, 210, 269, 272, 306, 314, 318, 320, 323, 327, 328, 329, 330, 331, 337, 340, 342], "input": [1, 9, 10, 11, 33, 35, 37, 39, 44, 47, 54, 56, 59, 64, 69, 70, 73, 74, 78, 79, 80, 82, 83, 85, 88, 90, 91, 93, 94, 95, 100, 101, 102, 103, 104, 105, 106, 108, 109, 110, 111, 112, 114, 116, 122, 130, 134, 142, 159, 160, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 198, 199, 206, 208, 215, 216, 218, 219, 220, 221, 222, 223, 224, 225, 233, 235, 236, 237, 242, 243, 244, 245, 247, 248, 250, 252, 254, 256, 257, 258, 260, 261, 264, 266, 267, 269, 275, 276, 277, 278, 279, 280, 282, 284, 285, 286, 287, 292, 293, 297, 311, 313, 318, 319, 322, 323, 324, 325, 326, 329, 330, 332, 338, 339, 340, 342], "m4a": 1, "3gp": 1, "3g2": 1, "mj2": 1, "metadata": [1, 14, 16, 18, 19, 23, 25, 26, 27, 30, 31, 203, 284, 285, 292, 293, 323, 332, 338], "major_brand": [1, 338], "mp42": [1, 338], "minor_vers": [1, 338], "compatible_brand": [1, 338], "mp42iso2avc1mp41": 1, "lavf58": 1, "76": [1, 312, 313, 321, 327, 333, 336, 340], "durat": [1, 9, 10, 11, 52, 93, 106, 113, 114, 204, 211, 244, 280, 312, 321, 331, 333, 341], "start": [1, 2, 3, 34, 88, 93, 100, 105, 114, 116, 130, 204, 206, 221, 222, 223, 233, 240, 241, 272, 280, 288, 308, 312, 313, 320, 321, 322, 323, 325, 326, 327, 328, 332, 333, 335, 339, 340, 341], "000000": [1, 337], "bitrat": [1, 95, 243], "1294": 1, "kb": 1, "eng": [1, 338], "high": [1, 9, 10, 213, 271, 304, 314, 321, 322, 326, 327, 331, 332, 338], "avc1": 1, "0x31637661": 1, "yuv420p": [1, 284, 292, 330, 338, 340], "tv": 1, "bt709": 1, "960x540": [1, 330, 338], "sar": 1, "dar": 1, "16": [1, 94, 95, 100, 102, 125, 164, 171, 200, 207, 215, 243, 282, 284, 285, 286, 292, 304, 313, 314, 319, 321, 322, 326, 327, 330, 332, 335, 338, 340, 342], "1156": 1, "29": [1, 171, 313, 321, 327, 330, 332, 333, 337, 338, 342], "97": [1, 9, 10, 11, 51, 81, 239, 251, 268, 313, 321, 326, 327, 330, 336], "fp": [1, 330, 331, 337, 338], "tbr": 1, "30k": 1, "tbn": 1, "59": [1, 171, 313, 314, 321, 327, 328, 332, 335, 336, 338, 342], "94": [1, 313, 320, 321, 327], "tbc": 1, "handler_nam": [1, 338], "mainconcept": [1, 338], "media": [1, 284, 285, 287, 292, 293, 307, 325, 332, 337, 339, 340], "handler": [1, 338], "vendor_id": [1, 338], "lc": 1, "mp4a": 1, "0x6134706d": 1, "48000": [1, 50, 84, 320, 322, 323, 337, 338], "hz": [1, 36, 40, 41, 42, 43, 52, 55, 58, 63, 66, 68, 71, 79, 84, 92, 205, 207, 210, 244, 245, 285, 312, 320, 333, 336, 337, 338], "stereo": [1, 324, 340], "fltp": [1, 284, 292, 322, 332, 337, 338, 340], "128": [1, 101, 102, 104, 111, 114, 192, 193, 194, 224, 236, 238, 239, 242, 243, 256, 258, 262, 263, 318, 320, 321, 324, 325, 327, 337, 338, 340], "sound": [1, 17, 46, 93, 204, 211, 212, 280, 284, 315, 322, 328, 329, 333, 338, 340], "map": [1, 28, 64, 90, 107, 116, 118, 119, 200, 257, 275, 282, 283, 284, 285, 286, 313, 314, 320, 321, 326, 332, 342], "press": [1, 339], "stop": [1, 111, 113, 211, 242, 284, 319, 320, 322, 339], "help": [1, 4, 93, 244, 280, 292, 320, 331, 336, 339], "output": [1, 5, 9, 10, 11, 33, 35, 37, 39, 44, 51, 54, 56, 57, 59, 62, 64, 65, 77, 79, 81, 85, 93, 95, 98, 101, 102, 103, 104, 105, 106, 107, 108, 111, 113, 114, 115, 116, 117, 136, 143, 144, 145, 146, 147, 148, 159, 160, 198, 200, 201, 204, 206, 210, 211, 212, 215, 218, 219, 220, 221, 222, 223, 224, 225, 236, 248, 252, 255, 257, 258, 260, 261, 269, 271, 280, 282, 284, 285, 286, 292, 293, 313, 314, 315, 321, 326, 328, 329, 330, 331, 335, 336, 337, 339, 342], "progress": [1, 342], "31": [1, 101, 111, 171, 313, 314, 315, 321, 326, 327, 330, 331, 335, 336, 342], "5000": [1, 207, 320], "lavc58": 1, "134": [1, 313, 321, 327], "side": [1, 64, 89, 90, 239, 241, 257, 263, 274, 275, 314, 328, 340], "cpb": 1, "max": [1, 23, 37, 47, 56, 58, 59, 85, 101, 104, 107, 111, 118, 172, 173, 212, 215, 250, 252, 269, 312, 327, 333, 341], "min": [1, 23, 47, 56, 69, 70, 250, 252, 313, 336], "avg": 1, "5000000": 1, "buffer": [1, 94, 100, 243, 283, 284, 285, 292, 293, 319, 331, 338, 340], "10000000": 1, "vbv_delai": 1, "frame": [1, 9, 10, 11, 24, 52, 62, 64, 78, 80, 88, 89, 90, 94, 95, 100, 101, 102, 104, 106, 107, 108, 111, 113, 114, 116, 117, 119, 122, 130, 159, 200, 204, 214, 215, 218, 225, 239, 241, 253, 255, 257, 263, 267, 272, 274, 275, 279, 284, 285, 292, 293, 313, 314, 315, 319, 322, 323, 331, 332, 335, 336, 338, 339, 340], "6175": [1, 338], "1712": 1, "lsize": 1, "37935kb": 1, "time": [1, 7, 34, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 49, 50, 52, 53, 55, 57, 58, 59, 61, 62, 63, 64, 65, 67, 68, 69, 70, 72, 77, 78, 79, 80, 82, 83, 84, 88, 89, 90, 91, 92, 93, 95, 98, 100, 102, 103, 105, 108, 109, 110, 111, 113, 114, 116, 117, 122, 159, 173, 201, 204, 207, 208, 210, 211, 214, 216, 220, 223, 238, 239, 240, 241, 242, 243, 244, 245, 249, 253, 255, 256, 257, 258, 259, 260, 261, 262, 263, 266, 267, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 284, 285, 287, 292, 293, 304, 312, 313, 314, 315, 316, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 335, 336, 337, 338, 340, 341, 342], "1508": 1, "5kbit": 1, "speed": [1, 58, 78, 79, 119, 211, 212, 244, 245, 277, 279, 314, 315, 320, 330, 331], "57": [1, 304, 313, 314, 321, 327, 330, 336, 338, 342], "1x": 1, "34502kb": 1, "3234kb": 1, "subtitl": [1, 284, 292], "0kb": 1, "other": [1, 4, 9, 10, 14, 19, 20, 24, 39, 93, 100, 105, 153, 154, 155, 158, 179, 180, 181, 182, 183, 184, 187, 188, 189, 198, 199, 200, 244, 245, 261, 280, 284, 288, 292, 297, 304, 313, 314, 318, 319, 321, 323, 327, 328, 330, 332, 335, 338, 340], "global": [1, 204, 285, 307, 310, 320, 322, 332, 343], "mux": [1, 339], "overhead": [1, 322, 330], "526932": 1, "onc": [1, 95, 271, 284, 285, 292, 319, 323, 324, 327, 328, 335, 338, 340, 342], "properli": [1, 284, 322], "pick": [1, 285, 319, 327, 335], "correctli": [1, 306, 330, 331, 342], "There": [1, 288, 294, 313, 319, 321, 323, 326, 327, 333, 335, 338, 339], "queri": [1, 287, 291, 304, 310], "ffmpeg_util": [1, 2, 100, 243, 324, 330, 331, 340], "get_video_decod": [1, 284, 330], "get_video_encod": [1, 285, 331], "often": [1, 4, 330, 331, 335, 340], "case": [1, 4, 94, 165, 166, 208, 233, 284, 285, 292, 293, 297, 304, 306, 319, 320, 321, 322, 327, 330, 331, 333, 338, 340, 342], "multipl": [1, 3, 4, 6, 79, 83, 95, 191, 192, 193, 194, 285, 288, 293, 307, 319, 320, 321, 323, 325, 326, 327, 330, 335, 337, 338, 340], "load": [1, 6, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 75, 76, 87, 114, 137, 138, 164, 165, 166, 198, 199, 200, 203, 233, 235, 238, 239, 240, 241, 242, 244, 245, 248, 253, 256, 258, 259, 260, 261, 262, 263, 264, 265, 267, 270, 271, 272, 273, 274, 275, 280, 281, 282, 284, 287, 305, 313, 314, 315, 318, 320, 321, 323, 324, 326, 327, 328, 330, 338, 339, 340, 342], "differ": [1, 4, 23, 37, 57, 65, 95, 106, 113, 114, 158, 165, 166, 171, 198, 199, 200, 208, 210, 232, 233, 242, 243, 244, 245, 248, 254, 258, 260, 278, 284, 285, 288, 292, 297, 306, 307, 312, 313, 314, 315, 318, 319, 321, 322, 323, 325, 328, 330, 331, 333, 335, 336, 337, 338, 339, 340, 342], "than": [1, 39, 49, 56, 91, 100, 101, 208, 220, 223, 244, 252, 271, 276, 277, 284, 285, 292, 313, 314, 320, 321, 322, 330, 331, 332, 335, 340], "expect": [1, 7, 9, 10, 11, 37, 62, 73, 74, 78, 98, 118, 119, 122, 134, 159, 165, 166, 173, 198, 199, 200, 235, 255, 264, 279, 284, 285, 293, 313, 322, 326, 328, 331, 332, 335, 338, 340, 342], "get_build_config": [1, 2], "get_vers": [1, 324, 330, 331, 340], "get": [1, 2, 3, 4, 9, 10, 16, 18, 19, 23, 25, 26, 27, 30, 31, 94, 116, 200, 203, 244, 246, 261, 282, 283, 284, 286, 288, 292, 308, 312, 313, 314, 318, 319, 320, 321, 322, 323, 325, 329, 333, 335, 336, 338, 339, 340, 341], "inform": [1, 4, 94, 165, 166, 171, 198, 199, 200, 210, 233, 282, 284, 286, 292, 297, 298, 304, 307, 323, 332, 335, 338], "about": [1, 284, 292, 313, 314, 338, 339, 342], "import": [1, 2, 137, 138, 159, 164, 165, 166, 171, 198, 199, 200, 233, 235, 271, 298, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 330, 331, 332, 333, 335, 336, 337, 338, 339, 340, 341, 342], "print": [1, 2, 159, 164, 165, 166, 171, 198, 282, 286, 304, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 335, 336, 337, 338, 339, 340, 341, 342], "nbuild": 1, "config": [1, 2, 4, 95, 282, 286, 291, 319, 324, 331, 340], "ndecod": 1, "k": [1, 171, 198, 200, 282, 286, 304, 312, 313, 314, 321, 324, 326, 327, 330, 331, 333, 335, 338, 340, 342], "kei": [1, 23, 284, 290, 292, 314, 319, 322, 330, 331, 338, 342], "nencod": 1, "56": [1, 191, 282, 286, 312, 313, 314, 321, 327, 330, 332, 336, 342], "58": [1, 304, 313, 321, 324, 327, 330, 331, 332, 334, 336, 340, 342], "54": [1, 171, 313, 321, 326, 327, 331, 332, 336, 338, 342], "toolchain": [1, 2, 4], "harden": [1, 2], "libdir": [1, 2], "x86_64": [1, 3, 4, 282, 286], "gnu": [1, 2], "incdir": [1, 2], "avresampl": [1, 2], "resampl": [1, 2, 95, 165, 166, 198, 199, 200, 235, 244, 245, 284, 285, 287, 293, 304, 306, 311, 313, 317, 318, 334, 335, 336, 338], "avisynth": [1, 2], "ladspa": [1, 2], "libaom": [1, 2, 282, 286], "libass": [1, 2], 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113, 116, 159, 237, 239, 263, 279, 282, 285, 286, 315, 319, 323, 326, 330, 331, 337, 338], "signal": [9, 10, 11, 35, 46, 51, 57, 62, 64, 65, 73, 74, 77, 81, 83, 89, 90, 91, 93, 94, 212, 238, 239, 240, 241, 242, 247, 255, 256, 257, 258, 259, 260, 262, 263, 264, 265, 271, 274, 275, 276, 277, 280, 287, 304, 315, 318, 320, 328, 329, 333, 336, 338], "match": [9, 10, 11, 35, 47, 56, 88, 95, 110, 208, 250, 252, 285, 288, 293, 304, 319, 326, 330, 336, 338, 339, 340, 342], "feat": [9, 10, 11, 314, 323, 332, 335], "rang": [9, 10, 11, 46, 49, 53, 57, 58, 65, 77, 79, 100, 107, 159, 278, 283, 292, 312, 313, 314, 315, 318, 319, 320, 321, 322, 324, 325, 327, 330, 333, 337, 338, 339, 340, 341, 342], "option": [9, 10, 11, 12, 13, 14, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 35, 36, 37, 39, 40, 41, 42, 43, 45, 46, 47, 48, 49, 51, 52, 53, 55, 56, 57, 58, 59, 61, 62, 63, 64, 65, 68, 69, 70, 71, 75, 76, 77, 79, 80, 81, 82, 83, 85, 87, 88, 90, 91, 92, 93, 94, 95, 98, 100, 101, 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329, 330, 331, 333, 336, 338, 340, 341], "triangular": [9, 10, 53, 58, 66, 71, 79, 205, 238, 256, 262, 263], "preemphasi": [9, 10, 11, 51], "befor": [9, 10, 11, 33, 37, 93, 100, 111, 130, 142, 159, 204, 248, 280, 284, 285, 292, 293, 294, 306, 314, 322, 323, 327, 330, 336, 339, 340], "subtract": [9, 10, 11, 208, 209, 213, 287, 312, 325, 333, 334], "each": [9, 10, 11, 30, 31, 35, 37, 51, 59, 62, 64, 66, 71, 78, 80, 81, 85, 89, 90, 101, 104, 105, 106, 107, 108, 109, 111, 113, 114, 116, 117, 118, 119, 122, 130, 142, 165, 166, 171, 172, 173, 198, 199, 200, 205, 208, 211, 214, 215, 216, 218, 220, 221, 222, 223, 225, 233, 239, 241, 254, 255, 257, 263, 267, 269, 274, 275, 278, 284, 285, 288, 292, 301, 306, 307, 313, 314, 318, 321, 322, 323, 326, 327, 328, 330, 332, 335, 337, 338, 340, 342], "round": [9, 10, 11, 320], "power": [9, 10, 11, 33, 37, 62, 75, 76, 82, 86, 87, 90, 93, 239, 241, 248, 255, 261, 263, 266, 270, 273, 275, 279, 280, 281, 284, 311, 314, 315, 317, 318, 328, 329, 332, 338, 340, 341], "two": [9, 10, 11, 31, 36, 40, 41, 42, 44, 47, 54, 56, 60, 64, 69, 70, 89, 90, 98, 116, 130, 142, 239, 241, 250, 252, 257, 261, 263, 274, 275, 284, 285, 314, 319, 320, 323, 327, 329, 335, 340], "zero": [9, 10, 11, 23, 62, 85, 111, 204, 208, 255, 269, 304, 312, 320, 321, 322, 323, 325, 327, 328, 330, 332, 333, 341], "pad": [9, 10, 11, 23, 45, 57, 64, 65, 85, 89, 90, 95, 104, 107, 111, 159, 215, 239, 241, 244, 249, 257, 263, 269, 274, 275, 322, 323, 332], "fft": [9, 10, 11, 56, 62, 64, 80, 89, 90, 105, 159, 239, 241, 252, 255, 257, 263, 267, 274, 275, 297, 325, 340], "end": [9, 10, 11, 34, 88, 93, 95, 103, 112, 116, 130, 142, 159, 208, 233, 244, 272, 280, 284, 304, 312, 315, 319, 321, 322, 323, 326, 327, 328, 329, 332, 338, 340], "effect": [9, 10, 11, 43, 46, 58, 64, 65, 75, 76, 77, 79, 87, 88, 92, 93, 95, 100, 243, 244, 245, 246, 261, 270, 272, 273, 280, 283, 284, 285, 287, 292, 317, 320, 321, 328, 332, 337], "handl": [9, 10, 11, 15, 29, 100, 243, 284, 285, 292, 307, 319, 320, 338], "fit": [9, 10, 11, 319], "depend": [9, 10, 11, 37, 48, 64, 85, 93, 100, 173, 243, 248, 257, 258, 260, 269, 280, 282, 284, 285, 286, 290, 292, 306, 308, 321, 322, 324, 326, 328, 329, 330, 332, 335, 337, 338, 339, 340, 342], "reflect": [9, 10, 11, 64, 90, 211, 212, 239, 241, 257, 263, 275, 317, 318, 320], "cm": [9, 10, 11, 325], "dimens": [9, 10, 35, 36, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 49, 50, 51, 52, 53, 55, 56, 57, 58, 61, 62, 63, 64, 65, 67, 68, 69, 70, 75, 76, 77, 78, 79, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 92, 93, 100, 101, 102, 103, 104, 106, 107, 108, 109, 110, 111, 112, 113, 114, 122, 130, 134, 136, 142, 200, 208, 211, 212, 215, 216, 218, 219, 220, 221, 222, 223, 224, 225, 238, 239, 240, 241, 242, 244, 245, 249, 250, 251, 252, 253, 255, 256, 257, 258, 259, 260, 261, 262, 263, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 279, 280, 281, 297, 321, 326, 335, 340], "log": [9, 59, 113, 119, 200, 201, 258, 260, 282, 286, 313, 315, 320, 325, 327, 331, 333], "filterbank": [9, 48, 66, 71, 205, 238, 239, 242, 256, 262, 263], "els": [9, 39, 100, 312, 313, 320, 321, 323, 324, 325, 326, 327, 328, 330, 331, 332, 333, 335, 336, 341, 342], "linear": [9, 10, 58, 62, 66, 77, 94, 142, 179, 180, 181, 182, 183, 184, 185, 186, 187, 225, 242, 243, 253, 255, 256, 258, 304, 319, 328, 333, 340], "magnitud": [9, 62, 64, 66, 71, 89, 90, 102, 209, 239, 241, 248, 255, 257, 263, 274, 275, 304, 325, 328, 329, 340, 341], "inflect": [9, 10], "piecewis": [9, 10], "vtln": [9, 10], "warp": [9, 10], "neg": [9, 10, 37, 104, 113, 214, 215, 221, 222, 223, 248, 292, 320], "freq": [9, 10, 37, 38, 45, 52, 62, 64, 69, 70, 75, 76, 78, 82, 86, 87, 88, 90, 238, 242, 249, 255, 256, 257, 261, 262, 266, 270, 272, 273, 275, 279, 312, 318, 320, 329, 333], "factor": [9, 10, 78, 91, 105, 106, 122, 130, 216, 218, 243, 276, 277, 285, 313, 341], "applic": [9, 10, 54, 88, 116, 254, 271, 272, 278, 284, 287, 304, 307, 315, 319, 320, 321, 336, 338, 341], "vtln_map": [9, 10], "ham": [9, 10, 11, 213, 325], "han": [9, 10, 11, 304], "rectangular": [9, 10, 11, 53], "return": [9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 159, 160, 161, 165, 166, 171, 172, 173, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 233, 235, 236, 237, 238, 239, 240, 241, 242, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 279, 281, 282, 283, 284, 285, 286, 290, 292, 306, 311, 312, 313, 314, 315, 317, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 335, 336, 337, 338, 340, 341, 342], "what": [9, 10, 11, 234, 285, 293, 313, 314, 318, 321, 335, 338, 339, 342], "shape": [9, 10, 11, 35, 37, 47, 48, 51, 53, 56, 57, 59, 60, 65, 72, 75, 76, 78, 80, 81, 83, 87, 88, 91, 93, 95, 98, 100, 101, 102, 104, 105, 106, 107, 108, 111, 113, 114, 116, 117, 118, 119, 160, 164, 172, 173, 201, 204, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 236, 237, 244, 245, 247, 250, 251, 252, 253, 267, 268, 270, 271, 273, 276, 277, 280, 284, 285, 292, 293, 313, 314, 315, 318, 319, 321, 328, 329, 330, 333, 335, 336, 338, 339, 340, 342], "calcul": [9, 10, 11, 54, 258, 260, 328], "_get_strid": [9, 10, 11], "asr": [9, 54, 83, 100, 104, 107, 108, 113, 116, 117, 118, 119, 120, 150, 153, 154, 159, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 198, 200, 230, 231, 287, 289, 296, 298, 304, 309, 327, 334, 335, 337], "infer": [9, 54, 83, 94, 100, 113, 116, 117, 118, 119, 120, 122, 150, 159, 171, 198, 230, 231, 233, 234, 235, 243, 244, 267, 287, 296, 297, 298, 319, 326, 334, 342], "ctc": [9, 34, 54, 59, 72, 83, 85, 100, 113, 116, 117, 118, 119, 120, 198, 200, 269, 287, 297, 304, 326, 327, 334, 335, 336], "cepstral_lift": 10, "22": [10, 200, 207, 282, 285, 286, 304, 313, 320, 321, 326, 327, 331, 332, 342], "num_cep": 10, "control": [10, 43, 46, 64, 77, 83, 90, 92, 105, 130, 142, 208, 239, 241, 257, 263, 271, 275, 284, 304, 322, 331, 340, 341], "cepstra": 10, "c0": 10, "fbank": [10, 314, 318], "padded_window_s": 11, "class": [12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 34, 85, 94, 95, 98, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 116, 117, 130, 143, 144, 145, 146, 147, 159, 160, 161, 164, 165, 166, 171, 172, 173, 198, 199, 200, 201, 202, 203, 214, 215, 216, 233, 235, 236, 237, 238, 239, 240, 241, 242, 244, 245, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 284, 285, 287, 292, 293, 297, 306, 311, 313, 315, 319, 321, 322, 323, 327, 332, 335, 338], "root": [12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 203, 313, 321, 335, 336, 342], "union": [12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 30, 31, 32, 64, 75, 76, 87, 90, 94, 100, 118, 119, 172, 203, 207, 211, 212, 220, 243, 257, 270, 273, 275, 284, 285, 336], "url": [12, 13, 15, 17, 19, 20, 21, 26, 29, 30, 31, 32, 94, 159, 284, 292, 304, 314, 319, 326, 328, 336, 338], "aew": 12, "folder_in_arch": [12, 17, 19, 20, 21, 26, 32], "arctic": [12, 304], "cmu": [12, 13, 304], "kominek": [12, 304], "et": [12, 14, 16, 17, 18, 19, 20, 22, 23, 24, 25, 27, 28, 29, 30, 31, 62, 65, 76, 101, 103, 104, 106, 111, 112, 113, 114, 116, 126, 127, 128, 129, 130, 131, 132, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 162, 163, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 203, 211, 212, 215, 216, 219, 221, 222, 226, 227, 228, 229, 230, 231, 232, 234, 235, 236, 254, 255, 261, 273, 277, 278, 279, 311, 314, 321, 336], "al": [12, 14, 16, 17, 18, 19, 20, 22, 23, 24, 25, 27, 28, 29, 30, 31, 62, 65, 76, 101, 103, 104, 106, 111, 112, 113, 114, 116, 126, 127, 128, 129, 130, 131, 132, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 162, 163, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 203, 211, 212, 215, 216, 219, 221, 222, 226, 227, 228, 229, 230, 231, 232, 234, 235, 236, 254, 255, 261, 273, 277, 278, 279, 311, 314, 321, 336], "2003": [12, 239, 304], "allow": [12, 19, 20, 26, 28, 46, 49, 50, 54, 58, 77, 79, 84, 93, 94, 100, 130, 171, 223, 280, 284, 285, 307, 313, 314, 315, 319, 320, 322, 330, 331, 342], "ahw": 12, "aup": 12, "awb": 12, "axb": 12, "bdl": 12, "clb": 12, "eei": 12, "fem": 12, "gka": 12, "jmk": 12, "ksp": 12, "ljm": 12, "lnh": 12, "rm": 12, "rxr": 12, "slp": 12, "slt": [12, 304], "top": [12, 15, 17, 18, 19, 20, 21, 24, 25, 26, 27, 29, 32, 108, 116, 142, 159, 203, 225, 292, 293, 307, 308, 313, 314, 330, 333, 336, 340], "level": [12, 15, 17, 18, 19, 20, 21, 24, 25, 26, 27, 29, 32, 54, 93, 203, 204, 211, 280, 282, 283, 285, 286, 292, 293, 307, 308, 322, 326, 333, 338], "whether": [12, 13, 15, 17, 19, 20, 21, 22, 24, 25, 26, 28, 29, 30, 31, 32, 64, 90, 116, 118, 130, 142, 216, 220, 223, 239, 241, 254, 257, 258, 260, 263, 275, 278, 313], "tupl": [12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 59, 91, 100, 101, 104, 106, 107, 108, 111, 113, 114, 116, 130, 142, 148, 160, 172, 173, 198, 200, 203, 214, 215, 216, 226, 244, 245, 276, 277, 282, 284, 286, 290, 319], "th": [12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 38, 64, 90, 101, 104, 107, 203, 207, 215, 239, 241, 257, 263, 270, 273, 275, 304, 314], "rate": [12, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 36, 39, 40, 41, 42, 43, 50, 52, 55, 58, 63, 66, 67, 68, 71, 78, 79, 80, 84, 89, 92, 93, 94, 95, 98, 100, 105, 123, 124, 125, 159, 164, 165, 166, 173, 198, 199, 200, 203, 205, 206, 210, 212, 216, 233, 235, 237, 238, 239, 240, 241, 242, 243, 244, 245, 256, 258, 259, 260, 262, 263, 267, 274, 279, 280, 284, 285, 292, 293, 297, 312, 315, 316, 317, 318, 319, 320, 321, 322, 324, 326, 327, 328, 329, 331, 332, 333, 335, 336, 337, 338, 339, 341, 342], "transcript": [12, 16, 19, 21, 22, 27, 28, 29, 107, 108, 122, 159, 181, 184, 198, 201, 202, 218, 313, 314, 322, 323, 327, 332], "utter": [12, 15, 18, 19, 20, 22, 26, 29, 31, 88, 104, 215, 272, 315], "exclude_punctu": 13, "svn": 13, "sf": 13, "net": [13, 36, 40, 41, 42, 43, 46, 49, 50, 58, 77, 79, 84, 92, 93, 243, 280, 283, 304, 336], "p": [13, 69, 70, 102, 171, 198, 200, 278, 284, 287, 304, 313, 314, 321, 322, 323, 326, 327, 335, 336, 342], "cmusphinx": 13, "trunk": 13, "7b": 13, "url_symbol": 13, "pronounc": 13, "dictionari": [13, 14, 118, 165, 166, 171, 198, 199, 200, 233, 290, 297, 304, 321, 327, 335, 337], "weid": [13, 304], "1998": [13, 304], "exclud": [13, 298], "pronounci": 13, "punctuat": [13, 326], "exclam": 13, "hash": 13, "mark": [13, 304, 306], "phonem": [13, 28, 168, 170, 171, 288, 297, 321], "aa": [13, 282, 286], "ae": 13, "ah": [13, 171, 342], "word": [13, 28, 54, 116, 117, 118, 158, 202, 313, 314, 318, 326, 335], "tsv": 14, "train": [14, 15, 16, 17, 19, 20, 23, 24, 26, 27, 28, 30, 102, 104, 105, 106, 107, 111, 112, 114, 130, 142, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 214, 215, 221, 222, 223, 230, 231, 232, 233, 234, 235, 287, 295, 297, 301, 304, 313, 314, 315, 319, 321, 326, 327, 328, 332, 335, 336, 342], "ardila": [14, 191, 192, 193, 194, 304], "present": [14, 284, 285, 292, 293, 314, 320, 321, 323, 340], "construct": [14, 118, 149, 150, 151, 152, 159, 162, 163, 164, 165, 166, 198, 199, 200, 230, 231, 232, 233, 235, 292, 293, 295, 301, 321, 325, 330, 335, 337], "invalid": [14, 284, 324], "valid": [14, 16, 17, 24, 26, 27, 28, 35, 47, 56, 91, 101, 104, 106, 107, 108, 111, 113, 114, 116, 117, 118, 119, 120, 130, 134, 142, 171, 172, 173, 208, 210, 214, 215, 243, 246, 247, 250, 252, 256, 276, 277, 283, 284, 285, 292, 338, 342], "dict": [14, 28, 116, 200, 239, 241, 242, 255, 257, 258, 260, 263, 267, 274, 275, 282, 283, 284, 285, 286, 328], "client_id": 14, "sentenc": [14, 54, 111, 116], "up_vot": 14, "down_vot": 14, "ag": [14, 314], "gender": 14, "accent": 14, "subset": [15, 16, 17, 22, 23, 24, 25, 26, 27, 28, 30, 164, 174, 175, 176, 177, 178, 179, 180, 182, 183, 185, 186, 203, 304, 306], "datashar": [15, 29], "ed": [15, 29, 314], "ac": [15, 29, 30, 31, 282, 286, 338], "uk": [15, 29, 30, 31, 333], "10283": [15, 29], "3038": 15, "dr": 15, "vctk": [15, 29, 304], "zip": [15, 29, 30, 31, 245, 313, 318, 320, 321, 324, 325, 326, 327, 328, 330, 331, 342], "record": [15, 49, 93, 211, 280, 304, 315, 332, 337], "small": [15, 65, 219, 221, 271, 304, 314, 320, 322, 325, 327], "sarfjoo": [15, 304], "yamagishi": [15, 29, 163, 304], "2018": [15, 26, 27, 111, 114, 211, 212, 304, 338], "noisi": [15, 38, 261, 315], "speaker": [15, 16, 18, 19, 20, 22, 23, 26, 27, 28, 29, 30, 31, 285, 304, 339, 340], "fluent": 16, "speech": [16, 21, 26, 29, 35, 75, 76, 83, 86, 87, 93, 100, 101, 102, 103, 104, 109, 110, 111, 112, 113, 114, 158, 159, 165, 166, 167, 168, 169, 170, 171, 191, 198, 203, 215, 219, 221, 222, 232, 255, 257, 261, 263, 266, 270, 271, 273, 275, 277, 280, 287, 288, 304, 313, 314, 317, 321, 322, 323, 327, 332, 334], "lugosch": [16, 304], "action": 16, "filepath": [16, 18, 19, 25, 26, 27, 30, 31, 203], "otherwis": [16, 18, 19, 25, 26, 27, 30, 31, 39, 57, 62, 65, 69, 70, 85, 91, 94, 95, 100, 130, 142, 203, 206, 208, 210, 213, 240, 241, 243, 244, 255, 269, 276, 277, 284, 285, 292, 293, 328], "field": [16, 18, 19, 25, 26, 27, 30, 31, 203, 313], "opihi": 17, "uvic": 17, "ca": [17, 314], "genr": [17, 304], "none": [17, 18, 24, 25, 26, 27, 35, 37, 39, 48, 49, 59, 62, 64, 71, 75, 78, 80, 82, 83, 85, 90, 91, 93, 94, 95, 98, 100, 104, 106, 107, 108, 111, 113, 114, 116, 118, 120, 122, 126, 127, 128, 129, 130, 131, 132, 134, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 159, 165, 166, 171, 173, 198, 199, 200, 204, 206, 210, 212, 214, 215, 224, 225, 233, 238, 239, 240, 241, 242, 243, 244, 247, 248, 255, 256, 257, 258, 260, 261, 262, 263, 266, 267, 269, 271, 274, 275, 276, 277, 279, 280, 284, 285, 292, 293, 312, 313, 315, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333], "tzanetaki": [17, 304], "2001": [17, 304], "marsya": 17, "info": [17, 73, 74, 264, 265, 282, 286, 287, 319], "plan": [17, 307, 319], "publish": [17, 153, 154, 155, 156, 157, 158, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 232, 332, 342], "octob": 17, "current": [17, 44, 59, 88, 93, 98, 104, 107, 108, 114, 116, 204, 211, 215, 272, 280, 284, 285, 307, 308, 327, 330, 336], "connect": [17, 114, 284], "error": [17, 53, 65, 210, 282, 285, 286, 292, 293, 306, 321, 322, 329, 331, 336, 338], "entir": [17, 113, 288, 308, 324, 328], "label": [17, 18, 26, 27, 30, 31, 32, 59, 85, 106, 113, 116, 117, 130, 198, 200, 269, 297, 306, 313, 316, 318, 320, 321, 325, 335, 341], "session": 18, "utterance_typ": 18, "busso": [18, 304], "2008": [18, 304], "improvis": 18, "both": [18, 39, 64, 85, 90, 150, 152, 211, 230, 231, 239, 241, 257, 263, 269, 275, 292, 293, 313, 320, 322, 323, 329, 330, 331, 332, 338], "neu": 18, "hap": 18, "ang": 18, "sad": [18, 313, 332], "exc": 18, "fru": 18, "panayotov": [19, 150, 153, 154, 155, 179, 180, 181, 182, 183, 184, 185, 187, 188, 189, 195, 304], "2015": [19, 25, 62, 150, 153, 154, 155, 179, 180, 181, 182, 183, 184, 185, 187, 188, 189, 195, 203, 255, 277, 304], "dowload": [19, 20, 26], "360": [19, 20, 23, 153, 154, 155, 179, 180, 181, 182, 183, 184, 187, 188, 189, 330, 331, 337, 338, 339], "chapter": [19, 20, 22], "zen": [20, 304], "origin": [20, 26, 62, 64, 83, 91, 114, 125, 130, 137, 138, 142, 151, 152, 153, 154, 155, 156, 157, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 208, 232, 234, 254, 255, 257, 271, 276, 277, 278, 279, 285, 313, 317, 318, 320, 321, 323, 327, 328, 329, 330, 332, 338, 340, 342], "text": [20, 29, 35, 38, 45, 51, 59, 60, 64, 75, 76, 81, 90, 111, 114, 159, 161, 167, 168, 169, 170, 171, 172, 212, 232, 233, 239, 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"benchmark": [314, 320, 330, 331], "flashlight": 314, "audio": [315, 316, 317, 318, 319, 320, 321, 327, 328, 329, 332, 337, 339, 340], "prepar": [315, 317, 318, 319, 320, 321, 327, 328, 329, 332, 335, 336, 338, 339, 340, 342], "origin": [315, 324, 337], "reverber": 315, "rir": 315, "ad": 315, "background": 315, "nois": [315, 329, 336, 337, 341], "snr": 315, "20": 315, "db": 315, "10": 315, "tensor": 315, "8": [315, 320, 336], "bit": 315, "mu": 315, "law": 315, "g": 315, "722": 315, "vorbi": [315, 324], "phone": 315, "recod": 315, "specaug": 317, "visual": [317, 321, 327, 329, 330, 336, 340], "sampl": [317, 325, 327, 336], "time": [317, 333, 334, 339], "mask": [317, 329], "The": [318, 322, 323, 340], "mel": 318, "bank": [318, 333], "comparison": [318, 320, 336], "against": [318, 320], "librosa": [318, 320], "metadata": 319, "like": [319, 327, 338, 340], "tip": 319, "slice": 319, "control": 320, "qualiti": [320, 331], "lowpass": [320, 324, 337], "width": 320, "rolloff": 320, "kaiser_best": 320, "kaiser_fast": 320, "perform": 320, "downsampl": 320, "48": 320, "44": 320, "khz": 320, "16": 320, "upsampl": 320, "summari": 320, "api": 321, "gener": [321, 327, 329, 335, 342], "emiss": 321, "transcript": [321, 326, 335], "frame": [321, 327, 330], "level": 321, "word": [321, 327], "preview": 321, "inconsist": 321, "treatment": 321, "advanc": [321, 337, 339], "handl": 321, "star": 321, "full": 321, "partial": 321, "without": [321, 340], "conclus": [321, 326, 327, 335], "acknowledg": [321, 326], "acquisit": [322, 323], "main": [322, 323], "process": [322, 323, 328, 342], "av": 323, "usag": [324, 337, 338, 339, 340], "exampl": [324, 337, 338, 340], "galleri": 324, "tempo": 324, "highpass": [324, 337], "allpass": 324, "bandpass": 324, "bandreject": 324, "echo": 324, "choru": 324, "fft": [324, 337], "vibrato": 324, "tremolo": 324, "crystal": 324, "pulsat": 324, "haa": 324, "ogg": 324, "default": [324, 338], "flac": 324, "opu": 324, "mp3": 324, "compression_level": 324, "9": 324, "bit_rat": 324, "192k": 324, "8k": 324, "qscale": 324, "design": 325, "sinc": [325, 341], "low": 325, "pass": 325, "high": 325, "band": 325, "brick": 325, "wall": 325, "arbitrari": [325, 341], "shape": 325, "multilingu": 326, "normal": 326, "german": 326, "chines": 326, "polish": 326, "portugues": 326, "italian": 326, "wise": 327, "label": 327, "probabl": 327, "trelli": 327, "find": 327, "most": 327, "path": 327, "backtrack": 327, "segment": [327, 328], "merg": 327, "music": 328, "hybrid": 328, "demuc": 328, "applic": 328, "track": 328, "enhanc": 329, "beamform": 329, "import": 329, "packag": 329, "ideal": 329, "ratio": 329, "irm": 329, "stft": 329, "coeffici": 329, "mixtur": 329, "clean": 329, "defin": 329, "microphon": 329, "target": 329, "result": [329, 330, 331, 340], "rtf": 329, "acceler": [330, 331], "prerequisit": [330, 331], "hw": 330, "resiz": 330, "crop": 330, "compar": 330, "qvga": 330, "vga": 330, "xga": 330, "360p": 331, "720p": 331, "1080p": 331, "spotcheck": 331, "onlin": 332, "oscil": [333, 341], "adsr": 333, "envelop": 333, "simpl": 333, "sine": [333, 337], "combin": 333, "chang": 333, "across": 333, "drum": 333, "beat": 333, "pluck": 333, "riser": 333, "recognit": 335, "intrus": 336, "assess": 336, "distort": 336, "noisi": 336, "waveform": [336, 342], "7": 336, "mean": 336, "opinion": 336, "score": 336, "ground": 336, "truth": 336, "baselin": 336, "input": 337, "synthet": 337, "signal": 337, "arbitr": 337, "express": 337, "cellular": 337, "automaton": 337, "mandelbrot": 337, "mplayer": 337, "test": 337, "pattern": 337, "john": 337, "conwai": 337, "": 337, "life": 337, "game": 337, "sierpinski": 337, "carpet": 337, "fractal": 337, "robot": 337, "whisper": 337, "mirror": 337, "edg": 337, "detect": 337, "random": 337, "rotat": 337, "pixel": 337, "manipul": 337, "basic": [338, 340], "local": [338, 340], "network": 338, "protocol": [338, 339, 340], "headerless": 338, "media": 338, "output": [338, 340], "ouptut": 338, "avail": 339, "plai": 339, "rtmp": 339, "real": 339, "messag": 339, "udp": 339, "datagram": 339, "destin": 340, "ex": 340, "imag": 340, "spectrum": 340, "canva": 340, "subtract": 341, "sweep": 341, "cutoff": 341, "wah": 341, "charact": 342, "base": 342, "phonem": 342, "griffin": 342, "lim": 342, "waveglow": 342}, "envversion": {"sphinx.domains.c": 2, "sphinx.domains.changeset": 1, "sphinx.domains.citation": 1, "sphinx.domains.cpp": 6, "sphinx.domains.index": 1, "sphinx.domains.javascript": 2, "sphinx.domains.math": 2, "sphinx.domains.python": 3, "sphinx.domains.rst": 2, "sphinx.domains.std": 2, "sphinx.ext.intersphinx": 1, "sphinx.ext.todo": 2, "sphinx.ext.viewcode": 1, "sphinxcontrib.bibtex": 9, "nbsphinx": 4, "sphinx": 56}})
\ No newline at end of file
diff --git a/main/sox_effects.html b/main/sox_effects.html
index fe5a322caf4..fdcaf7de321 100644
--- a/main/sox_effects.html
+++ b/main/sox_effects.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.sox_effects — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.sox_effects — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
          
             
     
          
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
          
     
 
diff --git a/main/supported_features.html b/main/supported_features.html
index d8e93205ffa..bdb0b164c29 100644
--- a/main/supported_features.html
+++ b/main/supported_features.html
@@ -10,7 +10,7 @@
 
   
   
-  Supported Features — Torchaudio 2.2.0.dev20240424 documentation
+  Supported Features — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
          
             
     
          
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
          
     
 
diff --git a/main/torchaudio.html b/main/torchaudio.html
index addde76ed9a..09fbfa59613 100644
--- a/main/torchaudio.html
+++ b/main/torchaudio.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
          
             
     
          
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
          
     
 
diff --git a/main/torio.html b/main/torio.html
index 0850b33c8cf..a9a0c08f33f 100644
--- a/main/torio.html
+++ b/main/torio.html
@@ -10,7 +10,7 @@
 
   
   
-  torio — Torchaudio 2.2.0.dev20240424 documentation
+  torio — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
          
             
     
          
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
          
     
 
diff --git a/main/torio.io.html b/main/torio.io.html
index 91d3e86bc05..40ff267b0de 100644
--- a/main/torio.io.html
+++ b/main/torio.io.html
@@ -10,7 +10,7 @@
 
   
   
-  torio.io — Torchaudio 2.2.0.dev20240424 documentation
+  torio.io — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
          
             
     
          
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
          
     
 
diff --git a/main/torio.utils.html b/main/torio.utils.html
index ed48aded2ea..cece6309dde 100644
--- a/main/torio.utils.html
+++ b/main/torio.utils.html
@@ -10,7 +10,7 @@
 
   
   
-  torio.utils — Torchaudio 2.2.0.dev20240424 documentation
+  torio.utils — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
          
             
     
          
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
          
     
 
diff --git a/main/transforms.html b/main/transforms.html
index aaa326f29f4..714ea65ce3b 100644
--- a/main/transforms.html
+++ b/main/transforms.html
@@ -10,7 +10,7 @@
 
   
   
-  torchaudio.transforms — Torchaudio 2.2.0.dev20240424 documentation
+  torchaudio.transforms — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
          
             
     
          
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
          
     
 
@@ -438,7 +438,7 @@
 
          torchaudio.transformsĀ¶
          
 
          torchaudio.transforms module contains common audio processings and feature extractions. The following diagram shows the relationship between some of the available transforms.
          
 https://download.pytorch.org/torchaudio/tutorial-assets/torchaudio_feature_extractions.png
-
          Transforms are implemented using torch.nn.Module. Common ways to build a processing pipeline are to define custom Module class or chain Modules together using torch.nn.Sequential, then move it to a target device and data type.
          
+
          Transforms are implemented using torch.nn.Module. Common ways to build a processing pipeline are to define custom Module class or chain Modules together using torch.nn.Sequential, then move it to a target device and data type.
          
 
          # Define custom feature extraction pipeline.
 #
 # 1. Resample audio
diff --git a/main/tutorials/additive_synthesis_tutorial.html b/main/tutorials/additive_synthesis_tutorial.html
index 1a4d7bbd0bd..3d0654d11bb 100644
--- a/main/tutorials/additive_synthesis_tutorial.html
+++ b/main/tutorials/additive_synthesis_tutorial.html
@@ -10,7 +10,7 @@
 
   
   
-  Additive Synthesis — Torchaudio 2.2.0.dev20240424 documentation
+  Additive Synthesis — Torchaudio 2.2.0.dev20240503 documentation
   
 
   
@@ -224,7 +224,7 @@
           
          
             
     
          
-      2.2.0.dev20240424 ▼
+      2.2.0.dev20240503 ▼
     
          
     
 
@@ -484,8 +484,8 @@
 print(torchaudio.__version__)
 
          
 
          
-
          2.4.0.dev20240423
-2.2.0.dev20240424
+
          2.4.0.dev20240502
+2.2.0.dev20240503
 
          
 
          
 
          
@@ -793,7 +793,7 @@ 
          Referenceshttps://computermusicresource.com/Simple.bell.tutorial.html
          
 
        • https://computermusicresource.com/Definitions/additive.synthesis.html
          • 
 
        
-
        Total running time of the script: ( 0 minutes  4.864 seconds)
        
+
        Total running time of the script: ( 0 minutes  4.856 seconds)
-
2.4.0.dev20240423
-2.2.0.dev20240424
+
2.4.0.dev20240502
+2.2.0.dev20240503
 

 

 
import time
@@ -530,47 +530,17 @@ 
Acoustic Model and Set Up
Downloading: "https://download.pytorch.org/torchaudio/models/wav2vec2_fairseq_base_ls960_asr_ll10m.pth" to /root/.cache/torch/hub/checkpoints/wav2vec2_fairseq_base_ls960_asr_ll10m.pth
 
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We will load a sample from the LibriSpeech test-other dataset.

@@ -720,389 +690,114 @@ 
Downloading Pretrained Files
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- 11%|#1        | 330M/2.91G [00:07<01:14, 37.4MB/s]
- 11%|#1        | 336M/2.91G [00:07<01:15, 36.9MB/s]
- 11%|#1        | 342M/2.91G [00:07<01:05, 41.9MB/s]
- 12%|#1        | 352M/2.91G [00:07<01:04, 42.6MB/s]
- 12%|#2        | 362M/2.91G [00:08<00:51, 53.4MB/s]
- 12%|#2        | 368M/2.91G [00:08<01:04, 42.3MB/s]
- 13%|#2        | 375M/2.91G [00:08<00:58, 46.7MB/s]
- 13%|#2        | 383M/2.91G [00:08<00:56, 48.0MB/s]
- 13%|#3        | 388M/2.91G [00:08<01:07, 40.4MB/s]
- 13%|#3        | 400M/2.91G [00:08<00:54, 49.4MB/s]
- 14%|#3        | 409M/2.91G [00:09<00:46, 57.7MB/s]
- 14%|#3        | 415M/2.91G [00:09<00:53, 50.3MB/s]
- 14%|#4        | 421M/2.91G [00:09<01:03, 42.2MB/s]
- 14%|#4        | 432M/2.91G [00:09<00:59, 45.2MB/s]
- 15%|#4        | 436M/2.91G [00:09<01:05, 40.8MB/s]
- 15%|#5        | 448M/2.91G [00:09<00:53, 49.6MB/s]
- 15%|#5        | 462M/2.91G [00:10<00:38, 67.8MB/s]
- 16%|#5        | 469M/2.91G [00:10<00:53, 49.1MB/s]
- 16%|#6        | 480M/2.91G [00:10<00:51, 51.1MB/s]
- 16%|#6        | 486M/2.91G [00:10<00:49, 53.3MB/s]
- 17%|#6        | 492M/2.91G [00:10<00:52, 49.5MB/s]
- 17%|#6        | 498M/2.91G [00:11<00:57, 45.1MB/s]
- 17%|#7        | 508M/2.91G [00:11<00:43, 59.2MB/s]
- 17%|#7        | 515M/2.91G [00:11<00:52, 49.7MB/s]
- 18%|#7        | 522M/2.91G [00:11<00:46, 55.4MB/s]
- 18%|#7        | 529M/2.91G [00:11<01:14, 34.7MB/s]
- 18%|#7        | 533M/2.91G [00:11<01:12, 35.6MB/s]
- 18%|#8        | 538M/2.91G [00:12<01:14, 34.2MB/s]
- 18%|#8        | 542M/2.91G [00:12<02:01, 21.1MB/s]
- 18%|#8        | 545M/2.91G [00:12<01:53, 22.6MB/s]
- 19%|#8        | 556M/2.91G [00:12<01:07, 37.5MB/s]
- 19%|#9        | 569M/2.91G [00:12<00:44, 57.3MB/s]
- 20%|#9        | 587M/2.91G [00:12<00:29, 84.0MB/s]
- 20%|##        | 597M/2.91G [00:13<00:39, 63.4MB/s]
- 20%|##        | 608M/2.91G [00:13<00:48, 51.7MB/s]
- 21%|##        | 623M/2.91G [00:13<00:37, 65.4MB/s]
- 21%|##1       | 631M/2.91G [00:13<00:42, 58.6MB/s]
- 21%|##1       | 639M/2.91G [00:14<00:43, 56.8MB/s]
- 22%|##1       | 645M/2.91G [00:14<00:54, 44.8MB/s]
- 22%|##2       | 656M/2.91G [00:14<00:46, 52.1MB/s]
- 22%|##2       | 668M/2.91G [00:14<00:37, 64.8MB/s]
- 23%|##2       | 675M/2.91G [00:14<00:45, 53.4MB/s]
- 23%|##2       | 682M/2.91G [00:14<00:47, 51.1MB/s]
- 24%|##3       | 704M/2.91G [00:15<00:32, 72.9MB/s]
- 24%|##3       | 711M/2.91G [00:15<00:38, 61.8MB/s]
- 24%|##4       | 720M/2.91G [00:15<00:42, 56.3MB/s]
- 24%|##4       | 726M/2.91G [00:15<00:51, 45.9MB/s]
- 25%|##4       | 731M/2.91G [00:16<01:07, 35.2MB/s]
- 25%|##4       | 736M/2.91G [00:16<01:05, 35.7MB/s]
- 25%|##4       | 740M/2.91G [00:16<01:04, 36.4MB/s]
- 25%|##5       | 752M/2.91G [00:16<00:44, 52.0MB/s]
- 26%|##5       | 761M/2.91G [00:16<00:37, 61.5MB/s]
- 26%|##5       | 768M/2.91G [00:16<00:45, 51.1MB/s]
- 26%|##5       | 774M/2.91G [00:16<00:54, 42.2MB/s]
- 26%|##6       | 784M/2.91G [00:17<00:44, 51.2MB/s]
- 27%|##6       | 796M/2.91G [00:17<00:34, 66.1MB/s]
- 27%|##6       | 804M/2.91G [00:17<00:44, 51.9MB/s]
- 27%|##7       | 815M/2.91G [00:17<00:40, 56.4MB/s]
- 28%|##7       | 821M/2.91G [00:17<00:44, 50.9MB/s]
- 28%|##7       | 831M/2.91G [00:18<00:44, 50.7MB/s]
- 28%|##8       | 836M/2.91G [00:18<00:47, 47.6MB/s]
- 28%|##8       | 847M/2.91G [00:18<00:37, 59.1MB/s]
- 29%|##8       | 853M/2.91G [00:18<00:41, 53.6MB/s]
- 29%|##8       | 864M/2.91G [00:18<00:44, 49.5MB/s]
- 29%|##9       | 872M/2.91G [00:18<00:40, 55.0MB/s]
- 30%|##9       | 880M/2.91G [00:18<00:36, 61.0MB/s]
- 30%|##9       | 891M/2.91G [00:18<00:29, 73.1MB/s]
- 30%|###       | 899M/2.91G [00:19<00:33, 64.6MB/s]
- 31%|###       | 911M/2.91G [00:19<00:27, 79.3MB/s]
- 31%|###       | 920M/2.91G [00:19<00:41, 52.6MB/s]
- 31%|###1      | 928M/2.91G [00:19<00:38, 55.3MB/s]
- 32%|###1      | 943M/2.91G [00:19<00:36, 58.8MB/s]
- 32%|###1      | 949M/2.91G [00:20<00:38, 55.4MB/s]
- 32%|###2      | 959M/2.91G [00:20<00:32, 64.4MB/s]
- 32%|###2      | 966M/2.91G [00:20<00:42, 50.1MB/s]
- 33%|###2      | 975M/2.91G [00:20<00:36, 57.5MB/s]
- 33%|###2      | 982M/2.91G [00:20<00:39, 53.3MB/s]
- 33%|###3      | 992M/2.91G [00:20<00:36, 56.9MB/s]
- 34%|###3      | 0.98G/2.91G [00:20<00:30, 68.3MB/s]
- 34%|###3      | 0.99G/2.91G [00:21<00:43, 47.6MB/s]
- 34%|###4      | 1.00G/2.91G [00:21<00:36, 56.0MB/s]
- 34%|###4      | 1.00G/2.91G [00:21<00:46, 44.1MB/s]
- 35%|###4      | 1.01G/2.91G [00:21<00:39, 52.0MB/s]
- 35%|###4      | 1.02G/2.91G [00:21<00:39, 52.1MB/s]
- 35%|###5      | 1.02G/2.91G [00:22<00:36, 54.9MB/s]
- 35%|###5      | 1.03G/2.91G [00:22<00:39, 51.0MB/s]
- 36%|###5      | 1.04G/2.91G [00:22<00:48, 41.8MB/s]
- 36%|###5      | 1.04G/2.91G [00:22<00:43, 46.3MB/s]
- 36%|###6      | 1.05G/2.91G [00:22<00:37, 52.6MB/s]
- 36%|###6      | 1.05G/2.91G [00:22<00:37, 53.7MB/s]
- 36%|###6      | 1.06G/2.91G [00:22<00:35, 56.0MB/s]
- 37%|###6      | 1.07G/2.91G [00:23<00:52, 37.8MB/s]
- 37%|###6      | 1.07G/2.91G [00:23<00:49, 39.8MB/s]
- 37%|###6      | 1.08G/2.91G [00:23<00:44, 43.8MB/s]
- 37%|###7      | 1.08G/2.91G [00:23<00:49, 39.4MB/s]
- 37%|###7      | 1.09G/2.91G [00:23<00:44, 44.1MB/s]
- 37%|###7      | 1.09G/2.91G [00:23<00:46, 41.7MB/s]
- 38%|###7      | 1.10G/2.91G [00:23<00:51, 37.8MB/s]
- 38%|###7      | 1.10G/2.91G [00:23<00:38, 51.0MB/s]
- 38%|###8      | 1.11G/2.91G [00:24<00:45, 42.2MB/s]
- 39%|###8      | 1.12G/2.91G [00:24<00:33, 56.6MB/s]
- 39%|###8      | 1.13G/2.91G [00:24<00:35, 54.3MB/s]
- 39%|###9      | 1.14G/2.91G [00:24<00:35, 53.7MB/s]
- 39%|###9      | 1.15G/2.91G [00:24<00:40, 46.8MB/s]
- 40%|###9      | 1.16G/2.91G [00:24<00:31, 60.1MB/s]
- 40%|###9      | 1.16G/2.91G [00:25<00:31, 60.5MB/s]
- 40%|####      | 1.17G/2.91G [00:25<00:26, 69.4MB/s]
- 41%|####      | 1.18G/2.91G [00:25<00:22, 81.9MB/s]
- 41%|####      | 1.19G/2.91G [00:25<00:26, 68.3MB/s]
- 41%|####1     | 1.20G/2.91G [00:25<00:26, 68.3MB/s]
- 41%|####1     | 1.21G/2.91G [00:25<00:32, 56.4MB/s]
- 42%|####1     | 1.21G/2.91G [00:25<00:30, 59.6MB/s]
- 42%|####1     | 1.22G/2.91G [00:26<00:49, 36.6MB/s]
- 42%|####2     | 1.23G/2.91G [00:26<00:36, 48.9MB/s]
- 42%|####2     | 1.24G/2.91G [00:26<00:40, 44.2MB/s]
- 43%|####2     | 1.25G/2.91G [00:26<00:32, 55.0MB/s]
- 43%|####3     | 1.26G/2.91G [00:26<00:24, 71.0MB/s]
- 44%|####3     | 1.27G/2.91G [00:27<00:28, 61.7MB/s]
- 44%|####3     | 1.28G/2.91G [00:27<00:26, 65.5MB/s]
- 44%|####4     | 1.29G/2.91G [00:27<00:33, 51.3MB/s]
- 45%|####4     | 1.30G/2.91G [00:27<00:29, 57.9MB/s]
- 45%|####4     | 1.30G/2.91G [00:27<00:33, 52.2MB/s]
- 45%|####5     | 1.31G/2.91G [00:27<00:33, 51.7MB/s]
- 45%|####5     | 1.32G/2.91G [00:28<00:30, 56.3MB/s]
- 46%|####5     | 1.33G/2.91G [00:28<00:31, 54.0MB/s]
- 46%|####5     | 1.33G/2.91G [00:28<00:44, 38.3MB/s]
- 46%|####6     | 1.34G/2.91G [00:28<00:31, 54.0MB/s]
- 46%|####6     | 1.35G/2.91G [00:28<00:30, 54.8MB/s]
- 47%|####6     | 1.36G/2.91G [00:28<00:27, 60.8MB/s]
- 47%|####6     | 1.36G/2.91G [00:29<00:47, 34.8MB/s]
- 47%|####7     | 1.37G/2.91G [00:29<00:37, 44.1MB/s]
- 47%|####7     | 1.38G/2.91G [00:29<00:34, 47.4MB/s]
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- 48%|####7     | 1.39G/2.91G [00:29<00:44, 36.7MB/s]
- 48%|####8     | 1.41G/2.91G [00:30<00:31, 51.8MB/s]
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- 49%|####9     | 1.43G/2.91G [00:30<00:38, 40.9MB/s]
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- 50%|#####     | 1.46G/2.91G [00:31<00:33, 46.7MB/s]
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- 52%|#####2    | 1.52G/2.91G [00:32<00:32, 46.4MB/s]
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- 52%|#####2    | 1.52G/2.91G [00:32<00:41, 35.4MB/s]
- 53%|#####2    | 1.53G/2.91G [00:33<00:36, 40.5MB/s]
- 53%|#####2    | 1.53G/2.91G [00:33<00:42, 34.5MB/s]
- 53%|#####2    | 1.54G/2.91G [00:33<00:34, 42.9MB/s]
- 53%|#####3    | 1.55G/2.91G [00:33<00:35, 41.7MB/s]
- 54%|#####3    | 1.56G/2.91G [00:33<00:25, 57.0MB/s]
- 54%|#####3    | 1.56G/2.91G [00:33<00:39, 37.0MB/s]
- 54%|#####3    | 1.57G/2.91G [00:34<00:37, 38.3MB/s]
- 54%|#####4    | 1.58G/2.91G [00:34<00:29, 47.9MB/s]
- 54%|#####4    | 1.59G/2.91G [00:34<00:24, 59.1MB/s]
- 55%|#####4    | 1.59G/2.91G [00:34<00:22, 63.1MB/s]
- 55%|#####4    | 1.60G/2.91G [00:34<00:27, 50.8MB/s]
- 55%|#####5    | 1.61G/2.91G [00:34<00:28, 48.7MB/s]
- 56%|#####5    | 1.62G/2.91G [00:34<00:24, 56.1MB/s]
- 56%|#####5    | 1.62G/2.91G [00:35<00:30, 45.2MB/s]
- 56%|#####6    | 1.64G/2.91G [00:35<00:21, 64.8MB/s]
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- 57%|#####7    | 1.66G/2.91G [00:36<00:37, 35.9MB/s]
- 57%|#####7    | 1.67G/2.91G [00:36<00:31, 42.3MB/s]
- 58%|#####7    | 1.68G/2.91G [00:36<00:35, 37.7MB/s]
- 58%|#####7    | 1.68G/2.91G [00:36<00:32, 41.1MB/s]
- 58%|#####7    | 1.69G/2.91G [00:36<00:29, 44.8MB/s]
- 58%|#####8    | 1.69G/2.91G [00:36<00:26, 50.0MB/s]
- 58%|#####8    | 1.70G/2.91G [00:36<00:24, 52.5MB/s]
- 59%|#####8    | 1.71G/2.91G [00:37<00:27, 47.6MB/s]
- 59%|#####9    | 1.72G/2.91G [00:37<00:20, 62.8MB/s]
- 59%|#####9    | 1.72G/2.91G [00:37<00:25, 49.2MB/s]
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- 60%|######    | 1.75G/2.91G [00:37<00:21, 58.1MB/s]
- 60%|######    | 1.75G/2.91G [00:38<00:27, 44.8MB/s]
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- 61%|######    | 1.77G/2.91G [00:38<00:25, 47.6MB/s]
- 61%|######1   | 1.78G/2.91G [00:38<00:21, 57.1MB/s]
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- 62%|######2   | 1.81G/2.91G [00:39<00:24, 47.6MB/s]
- 63%|######2   | 1.82G/2.91G [00:39<00:17, 67.2MB/s]
- 63%|######2   | 1.83G/2.91G [00:39<00:18, 61.7MB/s]
- 63%|######3   | 1.83G/2.91G [00:39<00:22, 50.6MB/s]
- 63%|######3   | 1.84G/2.91G [00:39<00:24, 47.0MB/s]
- 63%|######3   | 1.84G/2.91G [00:39<00:26, 44.0MB/s]
- 64%|######3   | 1.86G/2.91G [00:40<00:16, 69.9MB/s]
- 64%|######4   | 1.87G/2.91G [00:40<00:25, 43.7MB/s]
- 64%|######4   | 1.87G/2.91G [00:40<00:23, 47.0MB/s]
- 65%|######4   | 1.88G/2.91G [00:40<00:26, 41.3MB/s]
- 65%|######4   | 1.89G/2.91G [00:40<00:21, 50.3MB/s]
- 65%|######5   | 1.90G/2.91G [00:40<00:19, 56.9MB/s]
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- 66%|######5   | 1.91G/2.91G [00:41<00:25, 42.6MB/s]
- 66%|######6   | 1.92G/2.91G [00:41<00:21, 50.2MB/s]
- 66%|######6   | 1.93G/2.91G [00:41<00:28, 37.3MB/s]
- 67%|######6   | 1.94G/2.91G [00:41<00:22, 46.3MB/s]
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- 67%|######7   | 1.95G/2.91G [00:42<00:22, 46.3MB/s]
- 67%|######7   | 1.96G/2.91G [00:42<00:27, 37.8MB/s]
- 68%|######7   | 1.97G/2.91G [00:42<00:20, 49.9MB/s]
- 68%|######7   | 1.97G/2.91G [00:43<00:28, 34.9MB/s]
- 68%|######8   | 1.98G/2.91G [00:43<00:22, 44.7MB/s]
- 68%|######8   | 1.99G/2.91G [00:43<00:22, 43.5MB/s]
- 69%|######8   | 1.99G/2.91G [00:43<00:25, 37.9MB/s]
- 69%|######8   | 2.00G/2.91G [00:43<00:28, 34.4MB/s]
- 69%|######8   | 2.00G/2.91G [00:43<00:25, 38.4MB/s]
- 69%|######9   | 2.01G/2.91G [00:43<00:19, 49.3MB/s]
- 69%|######9   | 2.02G/2.91G [00:44<00:22, 42.4MB/s]
- 70%|######9   | 2.02G/2.91G [00:44<00:30, 30.7MB/s]
- 70%|######9   | 2.03G/2.91G [00:44<00:35, 26.7MB/s]
- 70%|######9   | 2.03G/2.91G [00:44<00:33, 28.0MB/s]
- 70%|######9   | 2.03G/2.91G [00:44<00:35, 26.2MB/s]
- 70%|#######   | 2.04G/2.91G [00:45<00:32, 28.5MB/s]
- 70%|#######   | 2.05G/2.91G [00:45<00:26, 34.9MB/s]
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- 71%|#######   | 2.06G/2.91G [00:45<00:23, 39.7MB/s]
- 71%|#######   | 2.06G/2.91G [00:45<00:18, 48.5MB/s]
- 71%|#######1  | 2.07G/2.91G [00:45<00:20, 44.9MB/s]
- 71%|#######1  | 2.08G/2.91G [00:45<00:16, 53.2MB/s]
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- 73%|#######2  | 2.12G/2.91G [00:46<00:16, 50.5MB/s]
- 73%|#######2  | 2.12G/2.91G [00:46<00:15, 53.9MB/s]
- 73%|#######3  | 2.13G/2.91G [00:46<00:17, 47.2MB/s]
- 74%|#######3  | 2.14G/2.91G [00:47<00:15, 54.3MB/s]
- 74%|#######3  | 2.15G/2.91G [00:47<00:11, 69.1MB/s]
- 74%|#######4  | 2.16G/2.91G [00:47<00:16, 49.0MB/s]
- 74%|#######4  | 2.17G/2.91G [00:47<00:17, 46.4MB/s]
- 75%|#######4  | 2.17G/2.91G [00:47<00:15, 49.6MB/s]
- 75%|#######4  | 2.18G/2.91G [00:47<00:15, 51.6MB/s]
- 75%|#######5  | 2.19G/2.91G [00:47<00:13, 57.7MB/s]
- 75%|#######5  | 2.19G/2.91G [00:48<00:16, 46.1MB/s]
- 76%|#######5  | 2.20G/2.91G [00:48<00:14, 53.6MB/s]
- 76%|#######5  | 2.20G/2.91G [00:48<00:18, 40.5MB/s]
- 76%|#######6  | 2.22G/2.91G [00:48<00:12, 58.0MB/s]
- 76%|#######6  | 2.22G/2.91G [00:48<00:15, 46.9MB/s]
- 77%|#######6  | 2.23G/2.91G [00:49<00:14, 49.1MB/s]
- 77%|#######6  | 2.24G/2.91G [00:49<00:16, 42.9MB/s]
- 77%|#######7  | 2.25G/2.91G [00:49<00:17, 41.7MB/s]
- 77%|#######7  | 2.25G/2.91G [00:49<00:18, 37.2MB/s]
- 78%|#######7  | 2.26G/2.91G [00:49<00:13, 50.3MB/s]
- 78%|#######8  | 2.27G/2.91G [00:50<00:16, 41.6MB/s]
- 78%|#######8  | 2.28G/2.91G [00:50<00:13, 49.5MB/s]
- 79%|#######8  | 2.29G/2.91G [00:50<00:16, 41.9MB/s]
- 79%|#######8  | 2.30G/2.91G [00:50<00:12, 54.4MB/s]
- 79%|#######9  | 2.30G/2.91G [00:50<00:18, 35.2MB/s]
- 79%|#######9  | 2.31G/2.91G [00:51<00:14, 45.3MB/s]
- 80%|#######9  | 2.33G/2.91G [00:51<00:10, 61.6MB/s]
- 80%|########  | 2.33G/2.91G [00:51<00:12, 50.2MB/s]
- 81%|########  | 2.34G/2.91G [00:51<00:11, 52.3MB/s]
- 81%|########  | 2.35G/2.91G [00:51<00:12, 49.3MB/s]
- 81%|########  | 2.36G/2.91G [00:51<00:12, 48.2MB/s]
- 81%|########1 | 2.36G/2.91G [00:51<00:12, 47.2MB/s]
- 82%|########1 | 2.38G/2.91G [00:52<00:08, 66.6MB/s]
- 82%|########1 | 2.38G/2.91G [00:52<00:10, 54.8MB/s]
- 82%|########2 | 2.39G/2.91G [00:52<00:09, 57.7MB/s]
- 82%|########2 | 2.40G/2.91G [00:52<00:09, 55.9MB/s]
- 83%|########2 | 2.40G/2.91G [00:52<00:14, 38.7MB/s]
- 83%|########2 | 2.41G/2.91G [00:53<00:16, 32.2MB/s]
- 83%|########3 | 2.42G/2.91G [00:53<00:11, 45.1MB/s]
- 83%|########3 | 2.43G/2.91G [00:53<00:13, 39.2MB/s]
- 84%|########3 | 2.44G/2.91G [00:53<00:09, 54.0MB/s]
- 84%|########3 | 2.44G/2.91G [00:53<00:09, 53.1MB/s]
- 84%|########4 | 2.45G/2.91G [00:53<00:08, 59.8MB/s]
- 85%|########4 | 2.47G/2.91G [00:54<00:06, 68.5MB/s]
- 85%|########5 | 2.47G/2.91G [00:54<00:07, 66.7MB/s]
- 85%|########5 | 2.48G/2.91G [00:54<00:07, 61.6MB/s]
- 86%|########5 | 2.49G/2.91G [00:54<00:09, 46.7MB/s]
- 86%|########5 | 2.49G/2.91G [00:54<00:09, 47.8MB/s]
- 86%|########5 | 2.50G/2.91G [00:54<00:11, 38.8MB/s]
- 86%|########6 | 2.51G/2.91G [00:55<00:08, 49.7MB/s]
- 87%|########6 | 2.52G/2.91G [00:55<00:05, 72.5MB/s]
- 87%|########6 | 2.53G/2.91G [00:55<00:05, 74.0MB/s]
- 87%|########7 | 2.54G/2.91G [00:55<00:04, 89.4MB/s]
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- 91%|#########1| 2.66G/2.91G [00:57<00:04, 66.6MB/s]
- 91%|#########1| 2.66G/2.91G [00:58<00:06, 42.1MB/s]
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-100%|#########9| 2.90G/2.91G [01:03<00:00, 49.6MB/s]
-100%|##########| 2.91G/2.91G [01:04<00:00, 48.7MB/s]
+  1%|1         | 31.1M/2.91G [00:00<00:09, 326MB/s]
+  2%|2         | 62.2M/2.91G [00:00<00:09, 316MB/s]
+  3%|3         | 92.5M/2.91G [00:00<00:10, 298MB/s]
+  4%|4         | 128M/2.91G [00:00<00:09, 324MB/s]
+  5%|5         | 163M/2.91G [00:00<00:08, 341MB/s]
+  7%|6         | 200M/2.91G [00:00<00:08, 355MB/s]
+  8%|7         | 234M/2.91G [00:00<00:08, 325MB/s]
+  9%|9         | 268M/2.91G [00:00<00:08, 334MB/s]
+ 10%|#         | 301M/2.91G [00:00<00:08, 332MB/s]
+ 11%|#1        | 333M/2.91G [00:01<00:08, 313MB/s]
+ 12%|#2        | 363M/2.91G [00:01<00:08, 310MB/s]
+ 13%|#3        | 393M/2.91G [00:01<00:09, 281MB/s]
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+ 19%|#9        | 571M/2.91G [00:02<00:10, 251MB/s]
+ 20%|##        | 596M/2.91G [00:02<00:11, 224MB/s]
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+ 21%|##1       | 639M/2.91G [00:02<00:11, 209MB/s]
+ 22%|##2       | 660M/2.91G [00:02<00:14, 171MB/s]
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+ 29%|##9       | 876M/2.91G [00:03<00:08, 248MB/s]
+ 31%|###       | 911M/2.91G [00:03<00:07, 279MB/s]
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+ 60%|######    | 1.76G/2.91G [00:06<00:04, 304MB/s]
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+ 62%|######2   | 1.81G/2.91G [00:07<00:04, 255MB/s]
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+ 93%|#########3| 2.71G/2.91G [00:11<00:00, 330MB/s]
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+ 97%|#########7| 2.83G/2.91G [00:11<00:00, 302MB/s]
+ 98%|#########8| 2.86G/2.91G [00:11<00:00, 308MB/s]
+100%|#########9| 2.90G/2.91G [00:11<00:00, 329MB/s]
+100%|##########| 2.91G/2.91G [00:11<00:00, 264MB/s]
 PretrainedFiles(lexicon='/root/.cache/torch/hub/torchaudio/decoder-assets/librispeech-4-gram/lexicon.txt', tokens='/root/.cache/torch/hub/torchaudio/decoder-assets/librispeech-4-gram/tokens.txt', lm='/root/.cache/torch/hub/torchaudio/decoder-assets/librispeech-4-gram/lm.bin')
 

 

@@ -1396,9 +1091,9 @@ 
beam size
beam size 1  : i you ery much afra of shongut shot i was at some arte what he sad (score: 3144.93; 0.0444 secs)
-beam size 5  : i rely was very much afraid of showing him how much shot i was at some parts of what he said (score: 3688.02; 0.0513 secs)
-beam size 50 : i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.1642 secs)
-beam size 500: i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.5334 secs)
+beam size 5  : i rely was very much afraid of showing him how much shot i was at some parts of what he said (score: 3688.02; 0.0514 secs)
+beam size 50 : i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.1633 secs)
+beam size 500: i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.5323 secs)
@@ -1424,10 +1119,10 @@

beam size tokenprint_decoded(beam_search_decoder, emission, "beam size token", beam_size_token)

-
beam size token 1  : i rely was very much affray of showing him hoch shot i was at some part of what he sed (score: 3584.80; 0.1596 secs)
-beam size token 5  : i rely was very much afraid of showing him how much shocked i was at some part of what he said (score: 3694.83; 0.1801 secs)
-beam size token 10 : i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3696.25; 0.1991 secs)
-beam size token 29 : i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.2304 secs)
+
beam size token 1  : i rely was very much affray of showing him hoch shot i was at some part of what he sed (score: 3584.80; 0.1562 secs)
+beam size token 5  : i rely was very much afraid of showing him how much shocked i was at some part of what he said (score: 3694.83; 0.1767 secs)
+beam size token 10 : i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3696.25; 0.1959 secs)
+beam size token 29 : i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.2270 secs)
 

 

 
@@ -1454,10 +1149,10 @@ 
beam thresholdprint_decoded(beam_search_decoder, emission, "beam threshold", beam_threshold)
-
beam threshold 1  : i ila ery much afraid of shongut shot i was at some parts of what he said (score: 3316.20; 0.0284 secs)
-beam threshold 5  : i rely was very much afraid of showing him how much shot i was at some parts of what he said (score: 3682.23; 0.0647 secs)
-beam threshold 10 : i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.2124 secs)
-beam threshold 25 : i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.2349 secs)
+
beam threshold 1  : i ila ery much afraid of shongut shot i was at some parts of what he said (score: 3316.20; 0.0286 secs)
+beam threshold 5  : i rely was very much afraid of showing him how much shot i was at some parts of what he said (score: 3682.23; 0.0477 secs)
+beam threshold 10 : i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.2082 secs)
+beam threshold 25 : i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.2292 secs)
 

 

 
@@ -1482,9 +1177,9 @@ 
language model weightprint_decoded(beam_search_decoder, emission, "lm weight", lm_weight)
-
lm weight 0  : i rely was very much affraid of showing him ho much shoke i was at some parte of what he seid (score: 3834.05; 0.2570 secs)
-lm weight 3.23: i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.2630 secs)
-lm weight 15 : was there in his was at some of what he said (score: 2918.99; 0.2428 secs)
+
lm weight 0  : i rely was very much affraid of showing him ho much shoke i was at some parte of what he seid (score: 3834.05; 0.2509 secs)
+lm weight 3.23: i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.2578 secs)
+lm weight 15 : was there in his was at some of what he said (score: 2918.99; 0.2340 secs)
 

 

 
@@ -1497,7 +1192,7 @@ 
additional parameters
sil_score: silence appearance score to add

 
  • log_add: whether to use log add for lexicon Trie smearing
    • 
 
-
    Total running time of the script: ( 3 minutes  0.134 seconds)
    
+
    Total running time of the script: ( 1 minutes  58.495 seconds)
    -
    2.4.0.dev20240423
-2.2.0.dev20240424
+
    2.4.0.dev20240502
+2.2.0.dev20240503
 
    
 
    
 
    import time
@@ -530,14 +530,27 @@ 
    Acoustic Model and Set Up
      0%|          | 0.00/269M [00:00<?, ?B/s]
- 12%|#2        | 33.4M/269M [00:00<00:00, 349MB/s]
- 25%|##4       | 66.8M/269M [00:00<00:00, 321MB/s]
- 37%|###7      | 100M/269M [00:00<00:00, 335MB/s]
- 53%|#####2    | 142M/269M [00:00<00:00, 372MB/s]
- 66%|######5   | 177M/269M [00:00<00:00, 368MB/s]
- 79%|#######8  | 213M/269M [00:00<00:00, 342MB/s]
- 91%|#########1| 246M/269M [00:00<00:00, 326MB/s]
-100%|##########| 269M/269M [00:00<00:00, 338MB/s]
+  6%|6         | 16.6M/269M [00:00<00:01, 172MB/s]
+ 12%|#2        | 33.1M/269M [00:00<00:04, 53.5MB/s]
+ 19%|#8        | 50.0M/269M [00:01<00:06, 34.2MB/s]
+ 21%|##1       | 57.8M/269M [00:01<00:06, 36.3MB/s]
+ 28%|##7       | 74.6M/269M [00:01<00:03, 52.8MB/s]
+ 31%|###       | 82.9M/269M [00:02<00:05, 36.8MB/s]
+ 37%|###6      | 99.5M/269M [00:02<00:03, 52.8MB/s]
+ 40%|####      | 108M/269M [00:02<00:03, 43.3MB/s]
+ 46%|####6     | 125M/269M [00:02<00:03, 44.9MB/s]
+ 49%|####8     | 131M/269M [00:03<00:03, 45.0MB/s]
+ 55%|#####5    | 148M/269M [00:03<00:01, 64.3MB/s]
+ 59%|#####8    | 158M/269M [00:03<00:02, 41.4MB/s]
+ 65%|######4   | 175M/269M [00:04<00:02, 34.0MB/s]
+ 73%|#######3  | 197M/269M [00:04<00:01, 52.3MB/s]
+ 77%|#######7  | 208M/269M [00:04<00:01, 41.7MB/s]
+ 83%|########3 | 224M/269M [00:05<00:00, 55.2MB/s]
+ 87%|########6 | 234M/269M [00:05<00:00, 43.2MB/s]
+ 93%|#########2| 250M/269M [00:06<00:00, 35.0MB/s]
+ 96%|#########5| 258M/269M [00:06<00:00, 39.3MB/s]
+100%|#########9| 269M/269M [00:06<00:00, 45.8MB/s]
+100%|##########| 269M/269M [00:06<00:00, 44.5MB/s]
 
    
 
    
 
    We will load a sample from the LibriSpeech test-other dataset.
    
@@ -548,7 +561,7 @@ 
    Acoustic Model and Set Up
      0%|          | 0.00/441k [00:00<?, ?B/s]
-100%|##########| 441k/441k [00:00<00:00, 47.0MB/s]
+100%|##########| 441k/441k [00:00<00:00, 162MB/s]
 
    
 
    
 
    
@@ -597,7 +610,7 @@ 
    Tokens
    
 
      0%|          | 0.00/239k [00:00<?, ?B/s]
-100%|##########| 239k/239k [00:00<00:00, 190MB/s]
+100%|##########| 239k/239k [00:00<00:00, 56.3MB/s]
 ['<blk>', '<sos/eos>', '<unk>', 'S', 'ā–THE', 'ā–A', 'T', 'ā–AND', 'ED', 'ā–OF', 'ā–TO', 'E', 'D', 'N', 'ING', 'ā–IN', 'Y', 'M', 'C', 'ā–I', 'A', 'P', 'ā–HE', 'R', 'O', 'L', 'RE', 'I', 'U', 'ER', 'ā–IT', 'LY', 'ā–THAT', 'ā–WAS', 'ā–', 'ā–S', 'AR', 'ā–BE', 'F', 'ā–C', 'IN', 'B', 'ā–FOR', 'OR', 'LE', "'", 'ā–HIS', 'ā–YOU', 'AL', 'ā–RE', 'V', 'ā–B', 'G', 'RI', 'ā–E', 'ā–WITH', 'ā–T', 'ā–AS', 'LL', 'ā–P', 'ā–HER', 'ST', 'ā–HAD', 'ā–SO', 'ā–F', 'W', 'CE', 'ā–IS', 'ND', 'ā–NOT', 'TH', 'ā–BUT', 'EN', 'ā–SHE', 'ā–ON', 'VE', 'ON', 'SE', 'ā–DE', 'UR', 'ā–G', 'CH', 'K', 'TER', 'ā–AT', 'IT', 'ā–ME', 'RO', 'NE', 'RA', 'ES', 'IL', 'NG', 'IC', 'ā–NO', 'ā–HIM', 'ENT', 'IR', 'ā–WE', 'H', 'ā–DO', 'ā–ALL', 'ā–HAVE', 'LO', 'ā–BY', 'ā–MY', 'ā–MO', 'ā–THIS', 'LA', 'ā–ST', 'ā–WHICH', 'ā–CON', 'ā–THEY', 'CK', 'TE', 'ā–SAID', 'ā–FROM', 'ā–GO', 'ā–WHO', 'ā–TH', 'ā–OR', 'ā–D', 'ā–W', 'VER', 'LI', 'ā–SE', 'ā–ONE', 'ā–CA', 'ā–AN', 'ā–LA', 'ā–WERE', 'EL', 'ā–HA', 'ā–MAN', 'ā–FA', 'ā–EX', 'AD', 'ā–SU', 'RY', 'ā–MI', 'AT', 'ā–BO', 'ā–WHEN', 'AN', 'THER', 'PP', 'ATION', 'ā–FI', 'ā–WOULD', 'ā–PRO', 'OW', 'ET', 'ā–O', 'ā–THERE', 'ā–HO', 'ION', 'ā–WHAT', 'ā–FE', 'ā–PA', 'US', 'MENT', 'ā–MA', 'UT', 'ā–OUT', 'ā–THEIR', 'ā–IF', 'ā–LI', 'ā–K', 'ā–WILL', 'ā–ARE', 'ID', 'ā–RO', 'DE', 'TION', 'ā–WA', 'PE', 'ā–UP', 'ā–SP', 'ā–PO', 'IGHT', 'ā–UN', 'RU', 'ā–LO', 'AS', 'OL', 'ā–LE', 'ā–BEEN', 'ā–SH', 'ā–RA', 'ā–SEE', 'KE', 'UL', 'TED', 'ā–SA', 'UN', 'UND', 'ANT', 'ā–NE', 'IS', 'ā–THEM', 'CI', 'GE', 'ā–COULD', 'ā–DIS', 'OM', 'ISH', 'HE', 'EST', 'ā–SOME', 'ENCE', 'ITY', 'IVE', 'ā–US', 'ā–MORE', 'ā–EN', 'ARD', 'ATE', 'ā–YOUR', 'ā–INTO', 'ā–KNOW', 'ā–CO', 'ANCE', 'ā–TIME', 'ā–WI', 'ā–YE', 'AGE', 'ā–NOW', 'TI', 'FF', 'ABLE', 'ā–VERY', 'ā–LIKE', 'AM', 'HI', 'Z', 'ā–OTHER', 'ā–THAN', 'ā–LITTLE', 'ā–DID', 'ā–LOOK', 'TY', 'ERS', 'ā–CAN', 'ā–CHA', 'ā–AR', 'X', 'FUL', 'UGH', 'ā–BA', 'ā–DAY', 'ā–ABOUT', 'TEN', 'IM', 'ā–ANY', 'ā–PRE', 'ā–OVER', 'IES', 'NESS', 'ME', 'BLE', 'ā–M', 'ROW', 'ā–HAS', 'ā–GREAT', 'ā–VI', 'TA', 'ā–AFTER', 'PER', 'ā–AGAIN', 'HO', 'SH', 'ā–UPON', 'ā–DI', 'ā–HAND', 'ā–COM', 'IST', 'TURE', 'ā–STA', 'ā–THEN', 'ā–SHOULD', 'ā–GA', 'OUS', 'OUR', 'ā–WELL', 'ā–ONLY', 'MAN', 'ā–GOOD', 'ā–TWO', 'ā–MAR', 'ā–SAY', 'ā–HU', 'TING', 'ā–OUR', 'RESS', 'ā–DOWN', 'IOUS', 'ā–BEFORE', 'ā–DA', 'ā–NA', 'QUI', 'ā–MADE', 'ā–EVERY', 'ā–OLD', 'ā–EVEN', 'IG', 'ā–COME', 'ā–GRA', 'ā–RI', 'ā–LONG', 'OT', 'SIDE', 'WARD', 'ā–FO', 'ā–WHERE', 'MO', 'LESS', 'ā–SC', 'ā–MUST', 'ā–NEVER', 'ā–HOW', 'ā–CAME', 'ā–SUCH', 'ā–RU', 'ā–TAKE', 'ā–WO', 'ā–CAR', 'UM', 'AK', 'ā–THINK', 'ā–MUCH', 'ā–MISTER', 'ā–MAY', 'ā–JO', 'ā–WAY', 'ā–COMP', 'ā–THOUGHT', 'ā–STO', 'ā–MEN', 'ā–BACK', 'ā–DON', 'J', 'ā–LET', 'ā–TRA', 'ā–FIRST', 'ā–JUST', 'ā–VA', 'ā–OWN', 'ā–PLA', 'ā–MAKE', 'ATED', 'ā–HIMSELF', 'ā–WENT', 'ā–PI', 'GG', 'RING', 'ā–DU', 'ā–MIGHT', 'ā–PART', 'ā–GIVE', 'ā–IMP', 'ā–BU', 'ā–PER', 'ā–PLACE', 'ā–HOUSE', 'ā–THROUGH', 'IAN', 'ā–SW', 'ā–UNDER', 'QUE', 'ā–AWAY', 'ā–LOVE', 'QUA', 'ā–LIFE', 'ā–GET', 'ā–WITHOUT', 'ā–PASS', 'ā–TURN', 'IGN', 'ā–HEAD', 'ā–MOST', 'ā–THOSE', 'ā–SHALL', 'ā–EYES', 'ā–COL', 'ā–STILL', 'ā–NIGHT', 'ā–NOTHING', 'ITION', 'HA', 'ā–TELL', 'ā–WORK', 'ā–LAST', 'ā–NEW', 'ā–FACE', 'ā–HI', 'ā–WORD', 'ā–FOUND', 'ā–COUNT', 'ā–OB', 'ā–WHILE', 'ā–SHA', 'ā–MEAN', 'ā–SAW', 'ā–PEOPLE', 'ā–FRIEND', 'ā–THREE', 'ā–ROOM', 'ā–SAME', 'ā–THOUGH', 'ā–RIGHT', 'ā–CHILD', 'ā–FATHER', 'ā–ANOTHER', 'ā–HEART', 'ā–WANT', 'ā–TOOK', 'OOK', 'ā–LIGHT', 'ā–MISSUS', 'ā–OPEN', 'ā–JU', 'ā–ASKED', 'PORT', 'ā–LEFT', 'ā–JA', 'ā–WORLD', 'ā–HOME', 'ā–WHY', 'ā–ALWAYS', 'ā–ANSWER', 'ā–SEEMED', 'ā–SOMETHING', 'ā–GIRL', 'ā–BECAUSE', 'ā–NAME', 'ā–TOLD', 'ā–NI', 'ā–HIGH', 'IZE', 'ā–WOMAN', 'ā–FOLLOW', 'ā–RETURN', 'ā–KNEW', 'ā–EACH', 'ā–KIND', 'ā–JE', 'ā–ACT', 'ā–LU', 'ā–CERTAIN', 'ā–YEARS', 'ā–QUITE', 'ā–APPEAR', 'ā–BETTER', 'ā–HALF', 'ā–PRESENT', 'ā–PRINCE', 'SHIP', 'ā–ALSO', 'ā–BEGAN', 'ā–HAVING', 'ā–ENOUGH', 'ā–PERSON', 'ā–LADY', 'ā–WHITE', 'ā–COURSE', 'ā–VOICE', 'ā–SPEAK', 'ā–POWER', 'ā–MORNING', 'ā–BETWEEN', 'ā–AMONG', 'ā–KEEP', 'ā–WALK', 'ā–MATTER', 'ā–TEA', 'ā–BELIEVE', 'ā–SMALL', 'ā–TALK', 'ā–FELT', 'ā–HORSE', 'ā–MYSELF', 'ā–SIX', 'ā–HOWEVER', 'ā–FULL', 'ā–HERSELF', 'ā–POINT', 'ā–STOOD', 'ā–HUNDRED', 'ā–ALMOST', 'ā–SINCE', 'ā–LARGE', 'ā–LEAVE', 'ā–PERHAPS', 'ā–DARK', 'ā–SUDDEN', 'ā–REPLIED', 'ā–ANYTHING', 'ā–WONDER', 'ā–UNTIL', 'Q']
    @@ -804,7 +817,7 @@

    Benchmark with flashlight CPU decoderTotal running time of the script: ( 0 minutes 2.491 seconds)

    +

    Total running time of the script: ( 0 minutes 8.108 seconds)