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Parallel Wavenet-Vocoder #5
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sadly, there are many details behind the paper, i find nobody can reproduce result. |
Most of all, I'm not sure mel-spectrogram would fit well to reproduce result like the linguistic features in the paper. We may have to consider another constraints to make up for the weakness of mel-features. |
I do not think mel-features is the key problem of me, i think the iaf and probability Density Distillation is very very import for the quality. |
@neverjoe do you tell me how to connect teacher model to eval student !Are they all trained in one sess! thanks |
U just need to read the paper, the paper tell u clearly.
maozhiqiang <[email protected]>于2018年4月26日周四 上午10:44写道:
@neverjoe <https://github.com/neverjoe> do you tell me how to connect
teacher model to eval student !Are they all trained in one sessiotion!
thanks
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hi ! How to let teachers' network parameters do not participate in training? thanks |
@maozhiqiang |
thank you @xuerq |
@xuerq have u got quite quality wav by parallel wavenet?
maozhiqiang <[email protected]>于2018年4月29日 周日上午9:24写道:
thank you @xuerq <https://github.com/xuerq>
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@neverjoe still working on it,the wav sampled from student is not so good as teacher |
@twidddj do you get reasonable result about paralle wavenet! |
Hi @maozhiqiang, we are still trying to get better result of it. We have got some results, but It's not enough. I attached the results here. Thanks for your attention of our project! |
hi @twidddj ! Thank you very much for your reply! do you used KL loss? |
Planed TODO
Properties not specified in the paper
Another implementations
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