[TTS]Cantonese FastSpeech2 e2e infer, test=tts

examples/canton/tts3/README.md

@@ -74,44 +74,4 @@ Also, there is a `metadata.jsonl` in each subfolder. It is a table-like file tha
 
 ### Training details can refer to the script of [examples/aishell3/tts3](../../aishell3/tts3).
 
-## Pretrained Model(Waiting========)
-Pretrained FastSpeech2 model with no silence in the edge of audios:
-- [fastspeech2_aishell3_ckpt_1.1.0.zip](https://paddlespeech.bj.bcebos.com/Parakeet/released_models/fastspeech2/fastspeech2_aishell3_ckpt_1.1.0.zip)
-- [fastspeech2_conformer_aishell3_ckpt_0.2.0.zip](https://paddlespeech.bj.bcebos.com/Parakeet/released_models/fastspeech2/fastspeech2_conformer_aishell3_ckpt_0.2.0.zip) (Thanks for [@awmmmm](https://github.com/awmmmm)'s contribution)
-
-
-FastSpeech2 checkpoint contains files listed below.
-
-```text
-fastspeech2_aishell3_ckpt_1.1.0
-├── default.yaml            # default config used to train fastspeech2
-├── energy_stats.npy        # statistics used to normalize energy when training fastspeech2
-├── phone_id_map.txt        # phone vocabulary file when training fastspeech2
-├── pitch_stats.npy         # statistics used to normalize pitch when training fastspeech2
-├── snapshot_iter_96400.pdz # model parameters and optimizer states
-├── speaker_id_map.txt      # speaker id map file when training a multi-speaker fastspeech2
-└── speech_stats.npy        # statistics used to normalize spectrogram when training fastspeech2
-```
-You can use the following scripts to synthesize for `${BIN_DIR}/../sentences.txt` using pretrained fastspeech2 and parallel wavegan models.
-```bash
-source path.sh
-
-FLAGS_allocator_strategy=naive_best_fit \
-FLAGS_fraction_of_gpu_memory_to_use=0.01 \
-python3 ${BIN_DIR}/../synthesize_e2e.py \
-  --am=fastspeech2_aishell3 \
-  --am_config=fastspeech2_aishell3_ckpt_1.1.0/default.yaml \
-  --am_ckpt=fastspeech2_aishell3_ckpt_1.1.0/snapshot_iter_96400.pdz \
-  --am_stat=fastspeech2_aishell3_ckpt_1.1.0/speech_stats.npy \
-  --voc=pwgan_aishell3 \
-  --voc_config=pwg_aishell3_ckpt_0.5/default.yaml \
-  --voc_ckpt=pwg_aishell3_ckpt_0.5/snapshot_iter_1000000.pdz \
-  --voc_stat=pwg_aishell3_ckpt_0.5/feats_stats.npy \
-  --lang=zh \
-  --text=${BIN_DIR}/../sentences.txt \
-  --output_dir=exp/default/test_e2e \
-  --phones_dict=fastspeech2_aishell3_ckpt_1.1.0/phone_id_map.txt \
-  --speaker_dict=fastspeech2_aishell3_ckpt_1.1.0/speaker_id_map.txt \
-  --spk_id=0 \
-  --inference_dir=exp/default/inference
-```
+## Pretrained Model

examples/canton/tts3/run.sh

@@ -9,6 +9,7 @@ stop_stage=100
 
 conf_path=conf/default.yaml
 train_output_path=exp/default
+
 ckpt_name=snapshot_iter_280000.pdz
 
 # with the following command, you can choose the stage range you want to run
@@ -34,4 +35,4 @@ fi
 if [ ${stage} -le 3 ] && [ ${stop_stage} -ge 3 ]; then
     # synthesize_e2e, vocoder is pwgan by default
     CUDA_VISIBLE_DEVICES=${gpus} ./local/synthesize_e2e.sh ${conf_path} ${train_output_path} ${ckpt_name} || exit -1
-fi
+fi