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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

62 Citations (Scopus)

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.

Original language	English
Title of host publication	CHI'03 Extended Abstracts on Human Factors in Computing Systems, CHI EA'03
Pages	794-795
Number of pages	2
DOIs	https://doi.org/10.1145/765891.765996
Publication status	Published - 2003 Dec 1
Externally published	Yes
Event	Conference on Human Factors in Computing Systems, CHI EA 2003 - Ft. Lauderdale, FL, United States Duration: 2003 Apr 5 → 2003 Apr 10

Publication series

Name	Conference on Human Factors in Computing Systems - Proceedings

Conference

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

Keywords

EMG
Neural network
Speech recognition
Vowel

ASJC Scopus subject areas

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

Access to Document

10.1145/765891.765996

Cite this

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.",

keywords = "EMG, Neural network, Speech recognition, Vowel",

author = "Hiroyuki Manabe and Akira Hiraiwa and Toshiaki Sugimura",

year = "2003",

month = dec,

day = "1",

doi = "10.1145/765891.765996",

language = "English",

isbn = "1581136374",

series = "Conference on Human Factors in Computing Systems - Proceedings",

pages = "794--795",

booktitle = "CHI'03 Extended Abstracts on Human Factors in Computing Systems, CHI EA'03",

note = "Conference on Human Factors in Computing Systems, CHI EA 2003 ; Conference date: 05-04-2003 Through 10-04-2003",

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TY - GEN

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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M3 - Conference contribution

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T3 - Conference on Human Factors in Computing Systems - Proceedings

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EP - 795

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

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Y2 - 5 April 2003 through 10 April 2003

ER -

Unvoiced speech recognition using EMG - Mime Speech Recognition

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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