作者
Zongyang Du, Berrak Sisman, Kun Zhou, Haizhou Li
发表日期
2021/10/20
研讨会论文
Proc. Interspeech 2022
页码范围
2603-2607
简介
Expressive voice conversion performs identity conversion for emotional speakers by jointly converting speaker identity and emotional style. Due to the hierarchical structure of speech emotion, it is challenging to disentangle the emotional style for different speakers. Inspired by the recent success of speaker disentanglement with variational autoencoder (VAE), we propose an any-to-any expressive voice conversion framework, that is called StyleVC. StyleVC is designed to disentangle linguistic content, speaker identity, pitch, and emotional style information. We study the use of style encoder to model emotional style explicitly. At run-time, StyleVC converts both speaker identity and emotional style for arbitrary speakers. Experiments validate the effectiveness of our proposed framework in both objective and subjective evaluations.
学术搜索中的文章
Z Du, B Sisman, K Zhou, H Li - arXiv preprint arXiv:2110.10326, 2021
Z Du, B Sisman, K Zhou, H Li - arXiv preprint arXiv:2110.10326, 2021