Summary On The ISCSLP 2022 Chinese-English Code-Switching ASR Challenge
Author:
Affiliation:
1. TAL Education Group,Chinese Academy of Sciences,Beijing,China
2. Magic Data,Chinese Academy of Sciences
3. Tsinghua University,Chinese Academy of Sciences
4. Institute of Acoustics,Chinese Academy of Sciences
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10037756/10037573/10038051.pdf?arnumber=10038051
Reference26 articles.
1. An End-to-End Language-Tracking Speech Recognizer for Mixed-Language Speech
2. Syntactic and Semantic Features For Code-Switching Factored Language Models
3. Towards Language-Universal Mandarin-English Speech Recognition
4. Towards End-to-End Code-Switching Speech Recognition;luo;ArXiv,2018
5. Syntactic and Semantic Features For Code-Switching Factored Language Models
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