Statistical Voice Conversion with WaveNet-Based Waveform Generation

@inproceedings{Kobayashi2017StatisticalVC,
  title={Statistical Voice Conversion with WaveNet-Based Waveform Generation},
  author={Kazuhiro Kobayashi and Tomoki Hayashi and Akira Tamamori and Tomoki Toda},
  booktitle={INTERSPEECH},
  year={2017}
}
This paper presents a statistical voice conversion (VC) technique with the WaveNet-based waveform generation. VC based on a Gaussian mixture model (GMM) makes it possible to convert the speaker identity of a source speaker into that of a target speaker. However, in the conventional vocoding process, various factors such as F0 extraction errors, parameterization errors and over-smoothing effects of converted feature trajectory cause the modeling errors of the speech waveform, which usually bring… CONTINUE READING
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Speech waveform synthesis based on wavenet considering speech generation process

  • A. Tamamori, T. Hayashi, T. Toda, K. Takeda
  • IEICE Tech. Rep. SP2016-77 (Japanese edition), no…
  • 2016
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