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terbed avatar terbed commented on May 18, 2024 1

I have the same question @auspicious3000
Here you use the one-hot encoded embedding with a lent of 82 (the number of speakers it was pretrained), but could you generate a zeros-shot general embedding like in AutoVC. If I am correct the size of the used embedding was larger in that, I assume you cannot use that here.

So to wrap up: this method with the pretrained weights works only on the 82 speakers it was trained and conditioned on if we consider only the timbre conversion?

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FurkanGozukara avatar FurkanGozukara commented on May 18, 2024

@nischal-sanil did you make it work?

can you check my question please? #28

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auspicious3000 avatar auspicious3000 commented on May 18, 2024

@terbed Yes. Unless you retrain the model.

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