Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Various Text-to-Speech(TTS) implementations( Grad-TTS, Matcha-TTS, P-flow ) rely on the mel spectrogram feature extractor code found in hifi-gan
This PR introduces modifications to the feature extractor in order to enable the Vocos to work seamlessly with the outputs generated by the those TTS systems.
To achieve this, the parameters within the
torchaudio.transforms.MelSpectrogram
were adjusted to match the features generated in the hifi-gan codebase. Specifically the changes were made in the frequency limits and the mel scale.We trained Vocos 400k steps using this changes and we're able to obtain a reasonable good quality audio from the output of Matcha-TTS.
Closes #39