Speech recognition using EMG; Mime Speech Recognition

Hiroyuki Manabe; Akira Hiraiwa; Toshiaki Sugimura

Speech recognition using EMG; Mime Speech Recognition

Hiroyuki Manabe, Akira Hiraiwa, Toshiaki Sugimura

Research output: Contribution to conference › Paper › peer-review

Abstract

The cellular phone offers significant benefits but causes several social problems. One such problem is phone use in places where people should not speak, such as trains and libraries. A communication style that would not require voiced speech has the potential to solve this problem. Speech recognition based on electromyography (EMG), which we call "Mime Speech Recognition" is proposed. It not only eases communication in socially sensitive environments, but also improves speech recognition accuracy in noisy environments. In this paper, we report that EMG yields stable and accurate recognition of 5 Japanese vowels uttered statically without generating voice. Moreover, the ability of EMG to handle consonants is described, and the feasibility of basing comprehensive speech recognition systems on EMG is shown.

Original language	English
Pages	2717-2720
Number of pages	4
Publication status	Published - 2003 Jan 1
Externally published	Yes
Event	8th European Conference on Speech Communication and Technology, EUROSPEECH 2003 - Geneva, Switzerland Duration: 2003 Sept 1 → 2003 Sept 4

Conference

Conference	8th European Conference on Speech Communication and Technology, EUROSPEECH 2003
Country/Territory	Switzerland
City	Geneva
Period	03/9/1 → 03/9/4

ASJC Scopus subject areas

Computer Science Applications
Software
Linguistics and Language
Communication

Cite this

@conference{460223379bee4c49ac546ef6860e6ba3,

title = "Speech recognition using EMG; Mime Speech Recognition",

abstract = "The cellular phone offers significant benefits but causes several social problems. One such problem is phone use in places where people should not speak, such as trains and libraries. A communication style that would not require voiced speech has the potential to solve this problem. Speech recognition based on electromyography (EMG), which we call {"}Mime Speech Recognition{"} is proposed. It not only eases communication in socially sensitive environments, but also improves speech recognition accuracy in noisy environments. In this paper, we report that EMG yields stable and accurate recognition of 5 Japanese vowels uttered statically without generating voice. Moreover, the ability of EMG to handle consonants is described, and the feasibility of basing comprehensive speech recognition systems on EMG is shown.",

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

year = "2003",

month = jan,

day = "1",

language = "English",

pages = "2717--2720",

note = "8th European Conference on Speech Communication and Technology, EUROSPEECH 2003 ; Conference date: 01-09-2003 Through 04-09-2003",

}

TY - CONF

T1 - Speech recognition using EMG; Mime Speech Recognition

AU - Manabe, Hiroyuki

AU - Hiraiwa, Akira

AU - Sugimura, Toshiaki

PY - 2003/1/1

Y1 - 2003/1/1

N2 - The cellular phone offers significant benefits but causes several social problems. One such problem is phone use in places where people should not speak, such as trains and libraries. A communication style that would not require voiced speech has the potential to solve this problem. Speech recognition based on electromyography (EMG), which we call "Mime Speech Recognition" is proposed. It not only eases communication in socially sensitive environments, but also improves speech recognition accuracy in noisy environments. In this paper, we report that EMG yields stable and accurate recognition of 5 Japanese vowels uttered statically without generating voice. Moreover, the ability of EMG to handle consonants is described, and the feasibility of basing comprehensive speech recognition systems on EMG is shown.

AB - The cellular phone offers significant benefits but causes several social problems. One such problem is phone use in places where people should not speak, such as trains and libraries. A communication style that would not require voiced speech has the potential to solve this problem. Speech recognition based on electromyography (EMG), which we call "Mime Speech Recognition" is proposed. It not only eases communication in socially sensitive environments, but also improves speech recognition accuracy in noisy environments. In this paper, we report that EMG yields stable and accurate recognition of 5 Japanese vowels uttered statically without generating voice. Moreover, the ability of EMG to handle consonants is described, and the feasibility of basing comprehensive speech recognition systems on EMG is shown.

UR - http://www.scopus.com/inward/record.url?scp=85009231379&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85009231379&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:85009231379

SP - 2717

EP - 2720

T2 - 8th European Conference on Speech Communication and Technology, EUROSPEECH 2003

Y2 - 1 September 2003 through 4 September 2003

ER -

Speech recognition using EMG; Mime Speech Recognition

Abstract

Conference

ASJC Scopus subject areas

Other files and links

Fingerprint

Cite this