Comparison of english and Chinese speech recognition using high-density electromyography

Mingxing Zhu, Zijian Yang, Jiashuo Zhuang, Xiaochen Wang, Lin Lu, Haoshi Zhang, Jianping Huang, Hanjie Deng, Peng Shang, Guoru Zhao, Wanzhang Yang, Shixiong Chen, Guanglin Li

科研成果: 书/报告/会议事项章节会议稿件同行评审

1 引用 (Scopus)

摘要

Speaking different languages requires different ways of pronunciation, and the muscular activities associated with phonation show different articulation styles. Therefore, clarifying the contributions of the articulatory muscles in different regions, such as the face and neck, is helpful for automatic speech recognition. However, it remains unclear how the articulatory muscles at different positions affect the classification accuracies of speech recognition across different languages. In this study, the technique of high-density surface electromyography (HD sEMG) was proposed to investigate the role of different articulatory muscles in classifying English and Chinese speaking tasks, respectively. The HD sEMG signals were recorded by 120 electrodes evenly placed on the facial and neck muscles across six subjects while they were speaking five English and Chinese daily words. Four time-domain features were extracted from sEMG recordings and used to construct a linear-discriminant-analysis classifier for speech recognition. The results showed that the classification accuracies of using neck sEMG were higher than that of using facial sEMG in both English and Chinese recognition tasks. The accuracies for Chinese speaking tasks were significantly higher than that for English when using facial sEMG only. Moreover, there was no significant difference in accuracies between the two types of languages when using neck sEMG. This study might provide useful information about the contributions of different articulatory muscles, and pave the way for automatic speech recognition across different languages for patients with dysarthria.

源语言英语
主期刊名2019 13th International Conference on Sensing Technology, ICST 2019
出版商IEEE Computer Society
ISBN(电子版)9781728146317
DOI
出版状态已出版 - 12月 2019
已对外发布
活动13th International Conference on Sensing Technology, ICST 2019 - Sydney, 澳大利亚
期限: 2 12月 20194 12月 2019

出版系列

姓名Proceedings of the International Conference on Sensing Technology, ICST
2019-December
ISSN(印刷版)2156-8065
ISSN(电子版)2156-8073

会议

会议13th International Conference on Sensing Technology, ICST 2019
国家/地区澳大利亚
Sydney
时期2/12/194/12/19

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