EMG signal processing for audio-emg-based multi-modal speech recognition

Zhipeng Zhang, Hiroyuki Manabe, Tsutomu Horikoshi, Tomoyuki Ohya

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

This paper proposes robust methods for processing EMG (electromyography) signals in the framework of audio-EMG-based speech recognition. The EMG signals are captured when uttered and used as auxiliary information for recognizing speech. Two robust methods (Cepstral Mean Normalization and Spectral Subtraction) for EMG signal processing are investigated to improve the recognition performance. We also investigate the importance of stream weighting in audio-EMG-based multi-modal speech recognition. Experiments are carried out at various noise conditions and the results show the effectiveness of the proposed methods. A significant improvement in word accuracy over the audio-only recognition scheme is achieved by combining the methods.

本文言語English
ホスト出版物のタイトルProceedings of the 3rd IASTED International Conference on Biomedical Engineering 2005
編集者M.H. Hamza
ページ430-433
ページ数4
出版ステータスPublished - 2005 11月 28
外部発表はい
イベント3rd IASTED International Conference on Medical Engineering 2005 - Innsbruck, Austria
継続期間: 2005 2月 162005 2月 18

出版物シリーズ

名前Proceedings of the 3rd IASTED International Conference on Biomedical Engineering 2005

Conference

Conference3rd IASTED International Conference on Medical Engineering 2005
国/地域Austria
CityInnsbruck
Period05/2/1605/2/18

ASJC Scopus subject areas

  • 工学(全般)

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