Terbe Dániel

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...

Hello, Have a great conference then! I am grateful if you mention my contribution, but it is not even needed. By the way, do you plan to continuously maintain this...

On the other hand, the model.py results in error: @jackaduma ``` Generator input: torch.Size([1, 80, 64]) Generator forward input: torch.Size([1, 80, 64]) Generator forward input: torch.Size([1, 1, 80, 64]) Generator...

Dear @FrancescoFondaco and @QijiaShao, I suspect the issue is related to the automatic fill-forward nan mechanism. If your time index is not continuous then the missing steps are filled but...

Is this repo not maintained?

Yes, that is true. More precisely, the remote run stores the original pip packages too, that one is copied here. But the original pip is generated with a local task...