Improving Mispronunciation Detection with Wav2vec2-based Momentum Pseudo-Labeling for Accentedness and Intelligibility Assessment-Reference-Cited by-同舟云学术

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Improving Mispronunciation Detection with Wav2vec2-based Momentum Pseudo-Labeling for Accentedness and Intelligibility Assessment

Published:2022-09-18 Issue: Volume: Page:
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Container-title:Interspeech 2022
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Author:

Yang Mu,Hirschi Kevin,Looney Stephen Daniel,Kang Okim,Hansen John H.L.

Publisher

ISCA

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Automatic speech recognition (ASR) for the diagnosis of pronunciation of speech sound disorders in Korean children;Clinical Linguistics & Phonetics;2024-08-20

2. Advanced accent/dialect identification and accentedness assessment with multi-embedding models and automatic speech recognition;The Journal of the Acoustical Society of America;2024-06-01

3. Unsupervised pronunciation assessment analysis using utterance level alignment distance with self-supervised representations;2023 IEEE 20th India Council International Conference (INDICON);2023-12-14

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