DRVC: A Framework of Any-to-Any Voice Conversion with Self-Supervised Learning-Reference-Cited by-同舟云学术

DRVC: A Framework of Any-to-Any Voice Conversion with Self-Supervised Learning

Published:2022-05-23 Issue: Volume: Page:
ISSN:
Container-title:ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Wang Qiqi¹,Zhang Xulong¹,Wang Jianzong¹,Cheng Ning¹,Xiao Jing¹

Affiliation:

1. Ping An Technology (Shenzhen) Co., Ltd.,China

Funder

Research and Development

National Key Research and Development Program of China

Publisher

IEEE

Link

Reference21 articles.

1. Non-parallel many-tomany voice conversion using local linguistic tokens;wang;ICASSP,2021

3. Improving zeroshot voice style transfer via disentangled representation learning;yuan;ICLRE,2021

5. Autovc: Zero-shot voice style transfer with only autoencoder loss;qian;ICML,2019

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