Voice Conversion With CycleRNN-Based Spectral Mapping and Finely Tuned WaveNet Vocoder

Voice Conversion With CycleRNN-Based Spectral Mapping and Finely Tuned WaveNet Vocoder

In this paper, we present a novel framework for a voice conversion (VC) system based on a cyclic recurrent neural network (CycleRNN) and a finely tuned WaveNet vocoder. Even though WaveNet is capable of producing natural speech waveforms when fed with natural speech features, it still suffers from s...

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Bibliographic Details
Main Authors: Patrick Lumban Tobing, Yi-Chiao Wu, Tomoki Hayashi, Kazuhiro Kobayashi, Tomoki Toda
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Cyclic mapping flow
oversmoothed spectral features
recurrent neural network
spectral mapping
voice conversion
WaveNet fine-tuning
Online Access:https://ieeexplore.ieee.org/document/8913551/

Internet

https://ieeexplore.ieee.org/document/8913551/

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