Presentation 2010-10-09
A Study on Dysarthric Speech Recognition using Buried Markov Model
Chikoto MIYAMOTO, Yuto KOMAI, Tetsuya TAKIGUCHI, Yasuo ARIKI, Ichao LI,
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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 speech tends to become unstable due to strain on speech-related muscles, and that causes degradation of speech recognition. Therefore, we consider temporal dependence to solve this problem. Though HMM makes it possible to recognize clear utterance with high accuracy, the speech including the noise or the continuous utterance causes degradation of speech recognition. To solve this problem, J. Bilmes proposed buried Markov model which contains the conditional independence between the observation nodes. In this paper, we perform phone recognition experiments using buried Markov model.
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Keyword(in English) articulation disorders / Buried Markov Model
Paper # PRMU2010-101,SP2010-57,WIT2010-45
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Committee WIT
Conference Date 2010/10/1(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) A Study on Dysarthric Speech Recognition using Buried Markov Model
Sub Title (in English)
Keyword(1) articulation disorders
Keyword(2) Buried Markov Model
1st Author's Name Chikoto MIYAMOTO
1st Author's Affiliation Graduate School of Engineering, Kobe University()
2nd Author's Name Yuto KOMAI
2nd Author's Affiliation Graduate School of Engineering, Kobe University
3rd Author's Name Tetsuya TAKIGUCHI
3rd Author's Affiliation Graduate School of Engineering, Kobe University
4th Author's Name Yasuo ARIKI
4th Author's Affiliation Graduate School of Engineering, Kobe University
5th Author's Name Ichao LI
5th Author's Affiliation Faculty of Economics, Otemon Gakuin University
Date 2010-10-09
Paper # PRMU2010-101,SP2010-57,WIT2010-45
Volume (vol) vol.110
Number (no) 221
Page pp.pp.-
#Pages 6
Date of Issue