Presentation 2009-10-29
A Study on Dynamic Features for Dysarthric Speech Recognition
Chikoto MIYAMOTO, Tetsuya TAKIGUCHI, Yasuo ARIKI, Ichao LI, Toshitaka NAKABAYASHI,
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Abstract(in English) Recently, the accuracy of speaker-independent speech recognition has been remarkably improved by use of stochastic modeling of speech. However, there has been very little research on orally-challenged people, such as those with speech impediments. Therefore we have tried to build the acoustic model for a person with articulation disorders. The articulation of the speech tends to become unstable due to strain of a muscle and that causes degradation of speech recognition. In this paper, we focus on the fact that recognition rate of a person with an articulation disorder decreases compared with that of a physically unimpaired person, expecially in speech recognition using dynamic features only. Therefore, we use multiple acoustic frames as an acoustic feature to solve this problem. Its effectiveness is confirmed by word recognition experiments.
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Keyword(in English) articulation disorders / cerebral paralysis / dynamic features
Paper # SP2009-55,WIT2009-61
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Committee SP
Conference Date 2009/10/22(1days)
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Registration To Speech (SP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Study on Dynamic Features for Dysarthric Speech Recognition
Sub Title (in English)
Keyword(1) articulation disorders
Keyword(2) cerebral paralysis
Keyword(3) dynamic features
1st Author's Name Chikoto MIYAMOTO
1st Author's Affiliation Graduate School of Engineering, Kobe University()
2nd Author's Name Tetsuya TAKIGUCHI
2nd Author's Affiliation Graduate School of Engineering, Kobe University
3rd Author's Name Yasuo ARIKI
3rd Author's Affiliation Graduate School of Engineering, Kobe University
4th Author's Name Ichao LI
4th Author's Affiliation Faculty of Economics, Otemon Gakuin University
5th Author's Name Toshitaka NAKABAYASHI
5th Author's Affiliation Faculty of Human Development, Kobe University
Date 2009-10-29
Paper # SP2009-55,WIT2009-61
Volume (vol) vol.109
Number (no) 259
Page pp.pp.-
#Pages 6
Date of Issue