Title
Comparison of English and Chinese Speech Recognition Using High-Density Electromyography
Abstract
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.
Year
DOI
Venue
2019
10.1109/ICST46873.2019.9047706
2019 13th International Conference on Sensing Technology (ICST)
Keywords
DocType
ISSN
high-density surface electromyography,speech recognition,dysarthria
Conference
2156-8065
ISBN
Citations 
PageRank 
978-1-7281-4808-3
0
0.34
References 
Authors
4
13
Name
Order
Citations
PageRank
Mingxing Zhu116.03
Zijian Yang202.37
Jiashuo Zhuang300.68
Xiaochen Wang400.34
Lin Lu501.35
Haoshi Zhang612.79
Jianping Huang7305.34
Hanjie Deng801.35
Peng Shang9122.39
Guoru Zhao1000.68
Wanzhang Yang1102.37
Shixiong Chen1241.78
Guanglin Li136214.18