Maximum F1-Score Training for End-to-End Mispronunciation Detection and Diagnosis of L2 English Speech-Reference-Cited by-同舟云学术

Maximum F1-Score Training for End-to-End Mispronunciation Detection and Diagnosis of L2 English Speech

Published:2022-07-18 Issue: Volume: Page:
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Container-title:2022 IEEE International Conference on Multimedia and Expo (ICME)
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Author:

Yan Bi-Cheng¹,Wang Hsin-Wei¹,Jiang Shao-Wei Fan¹,Chao Fu-An¹,Chen Berlin¹

Affiliation:

1. National Taiwan Normal University,Taipei,Taiwan

Funder

Chunghwa Telecom Laboratories

National Science Council, Taiwan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9859562/9858923/09858931.pdf?arnumber=9858931

Reference22 articles.

1. Mispronunciation detection and diagnosis in L2 English speech using multi -distribution deep neural networks;li;IEEE/ ACM Transactions on Audio Speech and Language processing,2016

2. CNN-RNN-CTC Based End-to-end Mispronunciation Detection and Diagnosis

3. SED-MDD: Towards Sentence Dependent End-To-End Mispronunciation Detection and Diagnosis

4. An End-to-End Mispronunciation Detection System for L2 English Speech Leveraging Novel Anti-Phone Modeling

5. Maximum F1-Score Discriminative Training Criterion for Automatic Mispronunciation Detection

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