xuexidi
xuexidi
一样的问题，同问~
I tried for several times，the voice qulity stuck in a sad point whether VCTK dataset or my own chinese speech dataset.........so sad.....
> I am using AISHELL-3 mandarin corpus to training the VC model; for preprocessing, the speaker embedder using the pretrained 3000000-BL.ckpt. run through the main.py which train 1000000 iters [although...
> Check that the tensors are the same shape before computing their loss? > […](#) > On Wed, Jan 27, 2021 at 11:15 AM JohnHerry ***@***.***> wrote: I am using...
> @seungwonpark yeah sure, I will train MelGAN on GTA. I am also planning to train it in multiple voices as I have a huge repo of large (> 40...
> @xuexidi it doesn't give good result, I had trained model around 1.5 Million step but normal mel training gives better result than GTA. Though one option which I havn't...
> @xuexidi it doesn't matter choose any pre-processing (mel-extraction) and use the same for both TTS and melgan. The mels on which TTS trained always be same as on which...
@ruddradev Hello, did you solve this error？I meet the same error, and I have no idea how to fix it......please help me..... :(
我也遇到了楼上的问题，抽了5000条VCTK数据集的语音来从头训练WavRNN（MOL模式），Batch size=64，训练1了450k steps效果还是很糟糕，真心请教您一下，有什么需要注意的地方吗？ Loss曲线：  400K steps时候生成的语音： 
I met the same problem.....who can help me!