Comments (4)
listener17
commented on May 30, 2024
@mogwai: why do you need the discriminators? Asking because I'm unsure if these things could be useful for any other applications.
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AlexTrimm
commented on May 30, 2024
Bumping this. I'd like to train an encoder that is compatible with the codec, but which uses a slightly different architecture/activation. I can retrain the discriminators if necessary, but obviously it would be easier if I just had the existing ones. Any chance of releasing these @eeishaan?
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v-i-s-h
commented on May 30, 2024
+1
I would also like to train model with modified architecture and it would be helpful if discriminator checkpoint is publicly available.
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senyuanfan
commented on May 30, 2024
+1
It would be great if we could have discriminator checkpoint!
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Related Issues (20)
- Can't set n_quantizers for encode() HOT 2
- Fine-tuning from 44.1Khz
- 16kHz configs result in shape mismatch HOT 1
- does commit_loss and codebook_loss always be equal? HOT 2
- Different code sizes when encoding versus when compressing HOT 2
- audiotools error
- How to compress stereo sound by model.encode HOT 2
- (Paper Error?) MSD Not Used? HOT 3
- Error when set win_duration small
- Encoding new file - use of `zero_pad` HOT 2
- Inference speed
- Loading DAC files is insecure due to pickle
- Error with 16khz
- Memory leak? HOT 2
- Padding Mismatches Output Dimension in Conv1d HOT 1
- broken training: please specify versions of libraries used
- tensor shape mismatch when training on 24khz LibriTTS dataset HOT 2
- Same error in #18
- Very low bitrate models
- Training error: "RuntimeError: grad can be implicitly created only for scalar outputs"
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