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about Mel_Post_Net #44
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Thanks for great work. |
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Many thanks for your great work.
I have a question about the Post-Net after the Mel Linear layer, I find in the inference stage, you use the mel_pred as output rather than the postnet_pred, which is shown as follows (in synthesis,py):
Also, when I run the code, I find that the post_mel_loss is always bigger than the mel_loss, which means the post_Net module doesn't work as expected, right? I think it is conflicted with the Post-Net module used in Tacotron and the TTS-Transformer original paper. I am a bit confused, can you explain it to me? Many thanks!
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