Unvoiced speech recognition using EMG - Mime Speech Recognition

Hiroyuki Manabe; Akira Hiraiwa; Toshiaki Sugimura

doi:10.1145/765891.765996

Unvoiced speech recognition using EMG - Mime Speech Recognition

Hiroyuki Manabe, Akira Hiraiwa, Toshiaki Sugimura

研究成果: Conference contribution

64 被引用数 (Scopus)

抄録

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.

本文言語	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	https://doi.org/10.1145/765891.765996
出版ステータス	Published - 2003 12月 1
外部発表	はい
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月 5 → 2003 4月 10

出版物シリーズ

名前	Conference on Human Factors in Computing Systems - Proceedings

Conference

Conference	Conference on Human Factors in Computing Systems, CHI EA 2003
国/地域	United States
City	Ft. Lauderdale, FL
Period	03/4/5 → 03/4/10

ASJC Scopus subject areas

ソフトウェア
人間とコンピュータの相互作用
コンピュータグラフィックスおよびコンピュータ支援設計

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10.1145/765891.765996

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引用スタイル

Manabe, H, Hiraiwa, A & Sugimura, T 2003, Unvoiced speech recognition using EMG - Mime Speech Recognition. in CHI'03 Extended Abstracts on Human Factors in Computing Systems, CHI EA'03. Conference on Human Factors in Computing Systems - Proceedings, pp. 794-795, Conference on Human Factors in Computing Systems, CHI EA 2003, Ft. Lauderdale, FL, United States, 03/4/5. https://doi.org/10.1145/765891.765996

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title = "Unvoiced speech recognition using EMG - Mime Speech Recognition",

abstract = "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.",

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T1 - Unvoiced speech recognition using EMG - Mime Speech Recognition

AU - Manabe, Hiroyuki

AU - Hiraiwa, Akira

AU - Sugimura, Toshiaki

PY - 2003/12/1

Y1 - 2003/12/1

N2 - 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.

AB - 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.

KW - EMG

KW - Neural network

KW - Speech recognition

KW - Vowel

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T3 - Conference on Human Factors in Computing Systems - Proceedings

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BT - CHI'03 Extended Abstracts on Human Factors in Computing Systems, CHI EA'03

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Unvoiced speech recognition using EMG - Mime Speech Recognition

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出版物シリーズ

Conference

ASJC Scopus subject areas

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