• Corpus ID: 239024889

Speech Enhancement-assisted Stargan Voice Conversion in Noisy Environments

@article{Chan2021SpeechES,
  title={Speech Enhancement-assisted Stargan Voice Conversion in Noisy Environments},
  author={Yun-Ju Chan and Chiang-Jen Peng and Syu-Siang Wang and Hsin-Min Wang and Yu Tsao and Taishih Chi},
  journal={ArXiv},
  year={2021},
  volume={abs/2110.09923}
}
  • Yun-Ju Chan, Chiang-Jen Peng, +3 authors T. Chi
  • Published 19 October 2021
  • Computer Science, Engineering
  • ArXiv
Numerous voice conversion (VC) techniques have been proposed for the conversion of voices among different speakers. Although the decent quality of converted speech can be observed when VC is applied in a clean environment, the quality will drop sharply when the system is running under noisy conditions. In order to address this issue, we propose a novel enhancement-based StarGAN (E-StarGAN) VC system, which leverages a speech enhancement (SE) technique for signal pre-processing. SE systems are… 

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References

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