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OlaWod avatar OlaWod commented on July 23, 2024

yes it can make the model more robust to noise and reverberation.

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steven850 avatar steven850 commented on July 23, 2024

I don't see this doing much, if applied to the wavlm training then sure, but since the content model is locked and cant be trained I don't think this would have much of an effect on the VC model.

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OlaWod avatar OlaWod commented on July 23, 2024

I don't see this doing much, if applied to the wavlm training then sure, but since the content model is locked and cant be trained I don't think this would have much of an effect on the VC model.

the content is obtained by wavlm and bottleneck extractor, so i think if trained with noisy speech, the bottleneck extractor will learn to extract clean content from noisy wavlm feature. noisy wav -> wavlm -> noisy ssl feature -> bottleneck extractor -> clean content. (and current: sr augmented wav -> wavlm -> ssl feature -> bottleneck extractor -> content. )

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