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| Presentation | 2010-10-09 10:50 A Study on Dysarthric Speech Recognition using Buried Markov Model Chikoto Miyamoto, Yuto Komai, Tetsuya Takiguchi, Yasuo Ariki (Kobe Univ.), Ichao Li (Otemon Gakuin Univ.)  PRMU2010-101 SP2010-57 WIT2010-45 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (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 Japanese) | (See Japanese page) |
| (in English) | articulation disorders / Buried Markov Model / / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 110, no. 220, SP2010-57, pp. 69-74, Oct. 2010. | |
| Paper # | SP2010-57 | |
| Date of Issue | 2010-10-01 (PRMU, SP, WIT) | |
| ISSN | Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 | |
| Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Download PDF | PRMU2010-101 SP2010-57 WIT2010-45 |
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| Conference Information | |
| Committee | PRMU SP WIT |
| Conference Date | 2010-10-08 - 2010-10-09 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | SP |
| Conference Code | 2010-10-PRMU-SP-WIT |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| 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 |
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| 1st Author's Name | Chikoto Miyamoto |
| 1st Author's Affiliation | Kobe University (Kobe Univ.) |
| 2nd Author's Name | Yuto Komai |
| 2nd Author's Affiliation | Kobe University (Kobe Univ.) |
| 3rd Author's Name | Tetsuya Takiguchi |
| 3rd Author's Affiliation | Kobe University (Kobe Univ.) |
| 4th Author's Name | Yasuo Ariki |
| 4th Author's Affiliation | Kobe University (Kobe Univ.) |
| 5th Author's Name | Ichao Li |
| 5th Author's Affiliation | Otemon Gakuin University (Otemon Gakuin Univ.) |
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| Speaker | Author-1 |
| Date Time | 2010-10-09 10:50:00 |
| Presentation Time | 30 minutes |
| Registration for | SP |
| Paper # | PRMU2010-101, SP2010-57, WIT2010-45 |
| Volume (vol) | vol.110 |
| Number (no) | no.219(PRMU), no.220(SP), no.221(WIT) |
| Page | pp.69-74 |
| #Pages | 6 |
| Date of Issue | 2010-10-01 (PRMU, SP, WIT) |
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