Code-Switching Speech Synthesis Based on Self-Supervised Learning and Domain Adaptive Speaker Encoder-Reference-Cited by-同舟云学术

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Code-Switching Speech Synthesis Based on Self-Supervised Learning and Domain Adaptive Speaker Encoder

Published:2023-06-04 Issue: Volume: Page:
ISSN:
Container-title:ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Lin Yi-Xing¹,Pai Cheng-Hsun¹,Le Phuong Thi¹,Prihasto Bima¹,Huang Chien-Ling²,Wang Jia Ching¹

Affiliation:

1. National Central University,Department of Computer Science and Information Engineering,Taiwan

2. National Cheng Kung University,Department of Computer Science and Information Engineering,Taiwan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10094559/10094560/10096027.pdf?arnumber=10096027

Reference21 articles.

1. Cross-Lingual, Multi-Speaker Text-To-Speech Synthesis Using Neural Speaker Embedding

2. Learning to Speak Fluently in a Foreign Language: Multilingual Speech Synthesis and Cross-Language Voice Cloning

3. Acoustic data augmentation for Mandarin-English code-switching speech recognition

4. Dynamic Soft Windowing and Language Dependent Style Token for Code-Switching End-to-End Speech Synthesis

5. GigaSpeech: An Evolving, Multi-Domain ASR Corpus with 10,000 Hours of Transcribed Audio

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