The Academia Sinica Systems of Voice Conversion for VCC2020

This paper describes the Academia Sinica systems for the two tasks of Voice Conversion Challenge 2020, namely voice conversion within the same language (Task 1) and cross-lingual voice conversion (Task 2). For both tasks, we followed the cascaded ASR+TTS structure, using phonetic tokens as the TTS i...

Full description

Saved in:
Bibliographic Details
Main Authors Peng, Yu-Huai, Hu, Cheng-Hung, Kang, Alexander, Lee, Hung-Shin, Chen, Pin-Yuan, Tsao, Yu, Wang, Hsin-Min
Format Journal Article
LanguageEnglish
Published 06.10.2020
Subjects
Computer Science - Sound
Online AccessGet full text

Cover

More Information
Summary:This paper describes the Academia Sinica systems for the two tasks of Voice Conversion Challenge 2020, namely voice conversion within the same language (Task 1) and cross-lingual voice conversion (Task 2). For both tasks, we followed the cascaded ASR+TTS structure, using phonetic tokens as the TTS input instead of the text or characters. For Task 1, we used the international phonetic alphabet (IPA) as the input of the TTS model. For Task 2, we used unsupervised phonetic symbols extracted by the vector-quantized variational autoencoder (VQVAE). In the evaluation, the listening test showed that our systems performed well in the VCC2020 challenge.
DOI:10.48550/arxiv.2010.02669