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In case of vocoding one example, by folding the input example into batch of chunks, the inference can run faster.
https://github.com/pytorch/audio/blob/31dbb7540c78fe5d176948764cf9a20f55ac80dc/exam…
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报错如下
> Traceback (most recent call last):
File "D:\Apps\Anaconda3\lib\site-packages\flask\app.py", line 2447, in wsgi_app
response = self.full_dispatch_request()
File "D:\Apps\Anaconda3\li…
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Thanks for this project! :D
I've been training tacotron for a few days now and its up to 192K steps.
I ran train_tacotron.py --force_gta and it completed.
However when I run train_wavernn.p…
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command used: python quick_start.py --batched
```
Using device: cuda
Initialising WaveRNN Model...
Trainable Parameters: 4.234M
Initialising Tacotron Model...
Trainable Parameters: 11.…
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@fatchord Hi! I was wondering how to run deepmind_version of the model? train_wavernn.py does not support deepmind_version.py but only fatchord_version.py. Can you please tell me if you have the code …
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I've ran preprocess.py before on this dataset and it ran just fine. But now for some reason I'm getting this error Unicode Decode Error.
Any hints?
Thank you!
B
`(pyGPUenv) C:\Users\Brandon…
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DeepMind published a follow-up paper to Wavenet called WaveRNN. One of the notable components that achieved higher fidelity is double softmax. This, I believe, is a relatively easy improvement over Wa…
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Quick question: Is it possible to do inference with an alternative vocoder such as wavernn instead of using waveglow?
Thanks,
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"librosa.output" was removed in librosa version 0.8.0. This is documented in [their changelog](https://librosa.org/doc/latest/changelog.html?highlight=output#v0-8-0)
******
F:\【密】AI-人工智能\WaveRNN…
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After running preprocess.py I go on to run train_tacotron.py but it keeps giving this KeyError:
`(pyGPUenv) C:\Users\B\Documents\WaveRNN-master\WaveRNN-master>python train_tacotron.py
0
0
Using …