some questions about vocoder
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Assessment
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Newbie friendliness
- 15/100
- Issue type
- Documentation
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- python
- Domain
- audio-video-rtc, machine-learning
Research direction
The issue names no files, tests, or entry points. It asks for clarification about vocoder training losses and discriminator inputs, so first inspect the vocoder training and discriminator implementation; done would require documented answers grounded in the existing code.
Written by the indexing model from the issue text.
Description
Hi, @MoonInTheRiver, thank you for your great work. I have some questions about the training of vocoder as follows:
- In the training phase, did you use the same loss function as the HiFi-GAN vocoder model's loss function? That is, did you use other loss functions besides feature_loss, discriminator_loss and generator_loss?
- During the forward computation of the Discriminator, are there mel features input in addition to the real and predicted audio?
- Dominant language
- Python
- Stars
- 4.9k
- Forks
- 826
- PR merge metrics
- No merged PRs in 30d
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