Conversion output has very strong similarity to source audio. about knn-vc HOT 3 CLOSED

Hi @Sassun, it's not entirely clear from your description what the exact problem you're experiencing is. Could you give us some reproducible examples so we can understand the issue better?

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My question is basically how can I improve the conversion quality, so that the output (converted file) sounds more similar to the target voice. I am specifically testing it out with target audio files that where the speaker has accent (e.g. german accent when speaking english)

Whats the best way to provide you some concrete examples privately?

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Unfortunately, I think it will be difficult to get kNN-VC to convert between accents. Disentangling accent and content is still an unsolved problem in text-free voice conversion, so the converted speech generally retains the accent of the source speech. I think current approaches to accent conversion either rely on accent labelled speech or text transcriptions for training. I'm not too familiar with the literature but it might be possible to incorporate some of these ideas into the kNN-VC pipeline.

If you to want to share some results with us I think the best way is through google drive (or some other shareable cloud drive). You can invite me through my email address: [email protected]

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