Unvoiced speech recognition using EMG - Mime Speech Recognition

Hiroyuki Manabe, Akira Hiraiwa, Toshiaki Sugimura

研究成果: Conference contribution

49 引用 (Scopus)

抜粋

We propose unvoiced speech recognition, "Mime Speech Recognition". It recognizes speech by observing the muscles associated with speech. It is not based on voice signals but electromyography (EMG). It will realize unvoiced communication, which is a new communication style. Because voice signals are not used, it can be applied in noisy environments; it also supports people without vocal-cords and aphasics. In preliminary experiments, we try to recognize the 5 Japanese vowels. EMG signals from the 3 muscles that contribute greatly to the utterance of Japanese vowels are input to a neural network. The recognition accuracy is over 90% for the three subjects tested.

元の言語English
ホスト出版物のタイトルCHI'03 Extended Abstracts on Human Factors in Computing Systems, CHI EA'03
ページ794-795
ページ数2
DOI
出版物ステータスPublished - 2003 12 1
外部発表Yes
イベントConference on Human Factors in Computing Systems, CHI EA 2003 - Ft. Lauderdale, FL, United States
継続期間: 2003 4 52003 4 10

出版物シリーズ

名前Conference on Human Factors in Computing Systems - Proceedings

Conference

ConferenceConference on Human Factors in Computing Systems, CHI EA 2003
United States
Ft. Lauderdale, FL
期間03/4/503/4/10

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Graphics and Computer-Aided Design

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  • これを引用

    Manabe, H., Hiraiwa, A., & Sugimura, T. (2003). Unvoiced speech recognition using EMG - Mime Speech Recognition. : CHI'03 Extended Abstracts on Human Factors in Computing Systems, CHI EA'03 (pp. 794-795). (Conference on Human Factors in Computing Systems - Proceedings). https://doi.org/10.1145/765891.765996