SWivid / SWivid/F5-TTS

Convert vocos checkpoint to bigvgan; bigvgan with vocos-style mel spectrograms

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documentation enhancement
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Python
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Description

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Question details

Is there a fast way to convert a F5 checkpoint that was trained using vocos mels to one that is compatible with bigvgan? For example, can we freeze most of the parameters, and only continue-train a small number of parameters? Or must we train all parameters again?

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First steps

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  3. Fork the repository and make your change on a branch.
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Research direction

The issue names no files, tests, or entry points. Start by reviewing the project documentation and related papers, then inspect how vocos mel spectrograms and BigVGAN checkpoints are handled. Done would require a confirmed conversion path or a clearly scoped implementation plan, including whether partial retraining is viable.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
machine-learning
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
15/100

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