Reducing Language Confusion for Code-Switching Speech Recognition with Token-Level Language Diarization-Reference-Cited by-同舟云学术

Reducing Language Confusion for Code-Switching Speech Recognition with Token-Level Language Diarization

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

Liu Hexin¹,Xu Haihua¹,Garcia Leibny Paola²,Khong Andy W. H.³,He Yi¹,Khudanpur Sanjeev²

Affiliation:

1. Bytedance

2. Johns Hopkins University,CLSP and HLT-COE,USA

3. Nanyang Technological University,School of Electrical and Electronic Engineering,Singapore

Publisher

IEEE

Link

Reference27 articles.

2. An investigation of codeswitching attitude dependent language modeling;vu;Proc SLSP,2013

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2. Enhancing Code-Switching Speech Recognition With Interactive Language Biases;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

3. Zero Resource Code-Switched Speech Benchmark Using Speech Utterance Pairs for Multiple Spoken Languages;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

4. An Effective Mixture-Of-Experts Approach For Code-Switching Speech Recognition Leveraging Encoder Disentanglement;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14