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I wrote this issue in response to this [one](https://github.com/NVIDIA/tacotron2/issues/29).
The issue is that I am using an 8Gb GPU (NVIDIA GeForce GTX 980M) so I've brought down batch size to 24 …
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https://github.com/r9y9/wavenet_vocoder/blob/4e517c0f1ae2471380b76c105c4ae297ebe834af/wavenet_vocoder/wavenet.py#L187-L192
I am trying to get the multi speaker conditioning to work (using it as lib…
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Hello, thanks to your great work!
I have seen your mixture code, how does the loss change in the training process?
I trained it in my vocoder project, but it can sample good $x$ in the sample code?
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I would want to try the result first. Thanks - Calvin
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Hello Rayhane,
i would like to try your program before that i would like to know few things:
- Do you have any samples generated using your program ?
- How many training steps required to get n…
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Do you have audio samples of similar quality to:
https://google.github.io/tacotron/publications/tacotron/index.html
Thanks!
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Hi Ryuichi,
Thanks for your great work.
Forgive me if I got this wrong but I think it's not necessary to sum up `log_probs` at the last dimension [here](https://github.com/r9y9/wavenet_vocoder/…
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Hi guys! Fantastic work with this implementation.
Hopefully a quick question today; all was training fine over LJSpeech, until 16k steps or so, when this error was thrown.
```
Save intermediate…
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Hi,
After successfully running `python preprocess.py cmu_arctic ./../../data/cmu_arctic ./../tmp_cmu_arctic`
and
`python train.py --data-root=./../tmp_cmu_arctic --hparams="cin_channels=80,gin_…