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Discrete Optimal Transport and Voice Conversion

Selitskiy, Anton et al.
arXiv (All) · Papers
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audio-and-speech-processingmachine-learningsound
We propose kDOT, a discrete optimal transport (OT) framework for voice conversion (VC) operating in a pretrained speech embedding space. In contrast to the averaging strategies used in kNN-VC and SinkVC, and the independence assumption adopted in MKL, our method employs the barycentric projection of
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