TTS-Guided Training for Accent Conversion Without Parallel Data-Reference-Cited by-同舟云学术

TTS-Guided Training for Accent Conversion Without Parallel Data

Published:2023 Issue: Volume:30 Page:533-537
ISSN:1070-9908
Container-title:IEEE Signal Processing Letters
language:
Short-container-title:IEEE Signal Process. Lett.

Author:

Zhou Yi¹^ORCID,Wu Zhizheng²^ORCID,Zhang Mingyang²^ORCID,Tian Xiaohai³^ORCID,Li Haizhou²^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, National University of Singapore, Singapore

2. Shenzhen Research Institute of Big Data, School of Data Science, Chinese University of Hong Kong, Shenzhen, China

3. Bytedance Inc., Singapore

Funder

National Natural Science Foundation of China

Human-Robot Collaborative AI for Advanced Manufacturing and Engineering

Agency for Science, Technology and Research

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/97/10036333/10107770.pdf?arnumber=10107770

Reference35 articles.

1. Accent Conversion Using Phonetic Posteriorgrams

2. Voice conversion challenge 2020: Intra-lingual semi-parallel and cross-lingual voice conversion;zhao;Proc Joint Workshop Blizzard Challenge Voice Convers Challenge,0

3. Zero-Shot Foreign Accent Conversion without a Native Reference

4. The Voice Conversion Challenge 2018: Promoting Development of Parallel and Nonparallel Methods

5. End-To-End Accent Conversion Without Using Native Utterances

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