Denoising Diffusion Probabilistic Models for SpeechBrain#1599
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mravanelli merged 179 commits intospeechbrain:developfrom Aug 13, 2023
Merged
Denoising Diffusion Probabilistic Models for SpeechBrain#1599mravanelli merged 179 commits intospeechbrain:developfrom
mravanelli merged 179 commits intospeechbrain:developfrom
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…hbrain into diffusion-direct
Change spec_norm_std to 1 Change annealing to WarmCoolDecayLRSchedule
…hbrain into diffusion-direct
BenoitWang
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Jul 31, 2023
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I just re-ran the fastspeech training to check the shapes and I found squeeze(-1) is correct. Everything works fine, thanks @flexthink, a good catch!
mravanelli
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Aug 13, 2023
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I did extensive tests. I ran the full diffusion recipes. Everything looks good to me now. The quality of the digit generated with diffusion is pretty high, considering that AudioMNIST is a small dataset. Only the quality of latent diffusion is quite low, but I think we can improve it in another PR. Thank you @flexthink and @BenoitWang for this great work! |
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This PR contains a basic implementation of Denoising Diffusion Probabilistic Models (DDPM) for SpeechBrain
https://arxiv.org/pdf/2006.11239.pdf
An example is provided to generate MEL-spectrograms using the AudioMNIST dataset
It also contains an implementation of DiffWave by @BenoitWang