Xingjun Tan — accepted AI-conference papers

2022

Time Domain Adversarial Voice Conversion for ADD 2022

Cheng Wen, Tingwei Guo, Xingjun Tan, Rui Yan, Shuran Zhou, Chuandong Xie +2

ICASSP 2022accepted

In this paper, we describe our speech generation system for the first Audio Deep Synthesis Detection Challenge (ADD 2022). Firstly, we build an any-to-many voice conversion (VC) system to convert source speech with arbitrary language content into target speaker’s fake speech. Then the converted spee…

Cited by 0 Source ↗Scholar ↗

2021

KeSpeech: An Open Source Speech Dataset of Mandarin and Its Eight Subdialects

Zhiyuan Tang, Dong Wang, Yanguang Xu, Jianwei Sun, Xiaoning Lei, Shuaijiang Zhao +9

NeurIPS 2021poster

This paper introduces an open source speech dataset, KeSpeech, which involves 1,542 hours of speech signals recorded by 27,237 speakers in 34 cities in China, and the pronunciation includes standard Mandarin and its 8 subdialects. The new dataset possesses several properties. Firstly, the dataset pr…

Cited by 41 Source ↗Scholar ↗