Comments (1)
I think your mentioned vocoder model is trained with mel-spectrograms, but this repo uses wavLM as audio encoder. Hence I think you should train again.
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Related Issues (20)
- out_wav is a wav file? HOT 1
- Question about WavLM layer choice HOT 2
- Torch Hub CPU inference support HOT 1
- prematch_dataset run very slow HOT 4
- prematch argument HOT 2
- Choice for k HOT 2
- Conversion output has very strong similarity to source audio. HOT 3
- Considering context around source features HOT 2
- extend to other SSL model features
- Will this work with 44100hz audio? HOT 4
- Error in quickstart HOT 2
- Size mismatch error HOT 2
- loss issues encountered in fine-tuning the model HOT 6
- Will this work for singing voice conversion (svc)? HOT 2
- Maybe mention memory consumption in readme.md? HOT 3
- Using another batch size in training HOT 2
- Some questions about implementation HOT 2
- Matching pool empty HOT 2
- Hints on improvements for training and matching HOT 3
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