Improving End-To-End Modeling for Mispronunciation Detection with
Effective Augmentation Mechanisms

Improving End-To-End Modeling for Mispronunciation Detection with Effective Augmentation Mechanisms

17 October 2021

Berlin Chen

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Papers citing "Improving End-To-End Modeling for Mispronunciation Detection with Effective Augmentation Mechanisms"

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Title
3M: An Effective Multi-view, Multi-granularity, and Multi-aspect Modeling Approach to English Pronunciation Assessment Fu-An Chao Tien-Hong Lo Tzu-I Wu Yao-Ting Sung Berlin Chen 126 45 0 19 Aug 2022
Automatic Pronunciation Assessment using Self-Supervised Speech Representation Learning Eesung Kim J. Jeon Hyeji Seo Ho-Young Kim SSL 86 48 0 08 Apr 2022
Exploring Non-Autoregressive End-To-End Neural Modeling For English Mispronunciation Detection And Diagnosis Hsin-Wei Wang Bi-Cheng Yan Hsuan-Sheng Chiu Yung-Chang Hsu Berlin Chen 137 7 0 01 Nov 2021
Towards Robust Mispronunciation Detection and Diagnosis for L2 English Learners with Accent-Modulating Methods Shao-Wei Fan-Jiang Bi-Cheng Yan Tien-Hong Lo Fu-An Chao Berlin Chen 70 16 0 26 Aug 2021