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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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Got it, this is a great idea. I think you can first compare the differences between these two MelSpec implementation methods, then add a preprocessing network or postprocessing network, and freeze all the dit blocks. You can try this approach to see if the model can map the vocos features space to the bigvgan features space on its own. (Intuitively, this seems to be the simplest approach
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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?
The text was updated successfully, but these errors were encountered: