Subscaling wavernn

[JRMeyer]

>>> francis
[February 28, 2020, 6:01am]

! I know that your WaveRNN
is based off of fatchord's implementation. By any chance, have you tried
taking a loom at subscaling and how it fits to the WaveRNN model?

Any insights you may have will be appreciated as I'm currently
implementing it.

[This is an archived TTS discussion thread from discourse.mozilla.org/t/subscaling-wavernn]

[JRMeyer]

>>> erogol
[February 28, 2020, 11:58am]

sub-scaling meaning quantization ?

[Archived Post]

[JRMeyer]

>>> francis
[February 28, 2020, 1:33pm]

I'm talking more about generating batched samples at once for faster
generation. In particular, I'm taking a look at section 4.4 called Fused
Subscale WaveRNN in the original WaveRNN paper:
https://arxiv.org/pdf/1802.08435v2.pdf

I currently formatted the original audio to be subtensors. However, I am
trying to modify fatchord's WaveRNN to be trained on a subtensor because
I know it can generate sequential audio. I have saved a sample of a
subtensor audio, even though a bit of a lower quality, the audio quality
sounds similar to the original audio. I find it odd that the model can't
learn from a slightly lower quality version of the same audio.

[Archived Post]

[JRMeyer]

>>> erogol
[February 28, 2020, 1:40pm]

I've not tried that before. I'd suggest to bet on new GAN based vocoders
than working on the intricacies of WaveRNN or WaveNet but your call in
the end.

[Archived Post]