The ISCSLP 2024 Conversational Voice Clone (CoVoC) Challenge: Tasks, Results and Findings

Kangxiang Xia, Dake Guo, Jixun Yao, Liumeng Xue, Hanzhao Li, Shuai Wang, Zhao Guo, Lei Xie, Qingqing Zhang, Lei Luo, Minghui Dong, Peng Sun

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

The ISCSLP 2024 Conversational Voice Clone (CoVoC) Challenge aims to benchmark and advance zero-shot spontaneous style voice cloning, particularly focusing on generating spontaneous behaviors in conversational speech. The challenge comprises two tracks: an unconstrained track without limitation on data and model usage, and a constrained track only allowing the use of constrained open-source datasets. A 100-hour high-quality conversational speech dataset is also made available with the challenge. This paper details the data, tracks, submitted systems, evaluation results, and findings. The challenge’s official website is https://www.magicdatatech.com/iscslp-2024.

源语言英语
主期刊名2024 14th International Symposium on Chinese Spoken Language Processing, ISCSLP 2024
编辑Yanmin Qian, Qin Jin, Zhijian Ou, Zhenhua Ling, Zhiyong Wu, Ya Li, Lei Xie, Jianhua Tao
出版商Institute of Electrical and Electronics Engineers Inc.
506-510
页数5
ISBN(电子版)9798331516826
DOI
出版状态已出版 - 2024
活动14th International Symposium on Chinese Spoken Language Processing, ISCSLP 2024 - Beijing, 中国
期限: 7 11月 202410 11月 2024

出版系列

姓名2024 14th International Symposium on Chinese Spoken Language Processing, ISCSLP 2024

会议

会议14th International Symposium on Chinese Spoken Language Processing, ISCSLP 2024
国家/地区中国
Beijing
时期7/11/2410/11/24

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