Edresson Casanova

Hi, Sorry for the delay. Did you find the problem? What version of the :frog: TTS you are using?

Hi Aditya, Thanks :) The fine-tuning is equal to a normal training using --restore_path in Coqui TTS (we only guarantee that 1/4 of the batch is composed by the adapted...

I didn't find the checkpoints in this repository however, based on this repository I implemented and trained the voicefilter and provided the checkpoints, you can find Colab Demo notebooks (which...

I didn't find the checkpoints in this repository however, based on this repository I implemented and trained the voicefilter and provided the checkpoints, you can find Colab Demo notebooks (which...

@kwikwag I think that its implementation is not following the formula of the paper, because in the second term I believe that it is not necessary to use torch.clamp (x,...

Hello, I'm working on keras 2.0.0. What version of python are you using? what operating system? Regards, Edresson Casanova.

Hello, he is using multi-speakers in his training, apparently he uses the pre-trained model with LJ Speech Dataset, and re-train with the new speakers dataset, thus sharing the knowledge because...

@Kyubyong Could you help us ? we are very interested in this. Thanks.

Hi, @george-roussos yes Mozilla TTS has some extra standardizations. I believe that we must adjust the HiFi-GAN with the spectrograms of Mozilla TTS. I plan to do that soon. About...

I believe it is not necessary. Just do the fine tunning on Mozilla TTS. Basically make a script that synthesizes all the sentences of the LJSpeech dataset or any other...