Training & Inference code for FAcodec #229
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Thanks for the great works and high-quality code from @Plachtaa! There are some files need to be added the copyright information. Let @HeCheng0625 double check the readme of FACodec!
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| import copy | |||
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| import math | |||
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| import math | |||
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| from modules.dac.nn.quantize import ResidualVectorQuantize | |||
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| from . import attentions | |||
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Hi @RMSnow thanks a lot for reviewing the code! I apologize for the late reply. I have just added copyright statements to all newly added files and source of code where necessary. Please help me check whether the format is correct. |
egs/codec/FAcodec/train.sh
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For ease of data preparation, dataset is denoted as a single directory, where audio samples are recursively searched and loaded, as no transcriptions are required.
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Hi @Plachtaa , could you use black formatting to format the code to pass the code style check? The command is just "black .", thanks! |
Sorry for late reply, I have reformatted all changed & new files with black formatter, please have a format check again and see whether it could pass |
✨ Description
Training & Inference code for FAcodec, include link to pretrained checkpoint
🚧 Related Issues
None
👨💻 Changes Proposed
env.shcodecdirectory forbins,models,egs🧑🤝🧑 Who Can Review?
[@zhizhengwu]
🛠 TODO
✅ Checklist