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Some questions about inference.py #6
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Hi @JinY97, thank you for your interest in CDiffuSE and your comment!
This implementation follows the practical technique in A Study on Speech Enhancement Based on Diffusion Probabilistic Model to start with the noisy speech signal. Also, since the alpha_cum[-1] is close to 1 and delta[-1] is close to 0, the starting signal (and the results) is similar to the ones in Eq. (10).
I found this would be a typo in the paper, delta_bar[n] should be equal to (delta_cond[n])* delta[n-1]/ delta[n]. I will further update this in the Arxiv paper. Thanks for pointing this out! |
Hi, thank you for sharing your work! I have some confusion about it.
audio = noisy_audio
(line 148), but according to Eq. (10), audio = alpha_cum[-1]**0.5 * noisy_signal + delta[-1] * torch.randn_like(noisy_signal).Hope to obtain your answer, thank you!
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