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auspicious3000 / autovc

AutoVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss
https://arxiv.org/abs/1905.05879
MIT License
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F0 Converter for P - loss function values #88

Closed rishabhjain16 closed 3 years ago

rishabhjain16 commented 3 years ago

I am trying to replicate your work. I am currently making F0 converter model for P checkpoint generation. I am stuck at loss calculation.

I see when I use F0_Converter model to generate P, I get a 257 dimension one-hot encoded feature P.

Demo.ipynb

f0_pred = P(uttr_org_pad, f0_trg_onehot)[0]
f0_pred.shape
> torch.Size([192, 257])

I wanted to ask you when training the F0 converter model, what is the value that you are using to calculate the loss?

I tried using the following value but I am not sure if that is the right way. This is what I am doing to generate f0_pred and to calculate the loss:

f0_pred = self.P(x_real_org,f0_org_intrp)[0] p_loss_id = F.mse_loss(f0_pred,f0_org_intrp,reduction='mean')

I just want to know if I am on the right track. Can you help me out here @auspicious3000

rishabhjain16 commented 3 years ago

Sorry wrong Repo. My Bad. Please ignore this issue. Admin feel free to delete it.