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Paper Abstract and Keywords
Presentation 2009-12-22 15:50
Dysarthric Speech Recognition Using Pose-Robust Lip Area Feature Extraction Based on AAM and Acoustic Features
Chikoto Miyamoto, Yuto Komai, Tetsuya Takiguchi, Yasuo Ariki (Kobe Univ.), Ichao Li (Otemon Gakuin Univ.), Toshitaka Nakabayashi (Kobe Univ.) NLC2009-29 SP2009-93
Abstract (in Japanese) (See Japanese page) 
(in English) We investigated the speech recognition of a person with articulation disorders resulting from athetoid cerebral palsy. The articulation of speech tends to become unstable due to strain on speech-related muscles, and that causes degradation of speech recognition. Therefore, we use multiple acoustic frames as an acoustic feature to solve this problem. Further, in a real environment, the speech recognition systems do not have sufficient performance due to noise influence. In addition to acoustic features, visual features are used to increase noise robustness in a real environment. However, there is a recognition problem due to the tendency of his/her unsettling head movement. We investigate a pose-robust audio-visual speech recognition method using Active Appearance Model (AAM) to solve this problem.
Keyword (in Japanese) (See Japanese page) 
(in English) articulation disorders / audio-visual speech recognition / Active Appearance Model / / / / /  
Reference Info. IEICE Tech. Rep., vol. 109, no. 356, SP2009-93, pp. 195-200, Dec. 2009.
Paper # SP2009-93 
Date of Issue 2009-12-14 (NLC, SP) 
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 NLC2009-29 SP2009-93

Conference Information
Committee SP NLC  
Conference Date 2009-12-21 - 2009-12-22 
Place (in Japanese) (See Japanese page) 
Place (in English) Univ. of Tokyo 
Topics (in Japanese) (See Japanese page) 
Topics (in English) 11th Spoken Language Symposium (SP/NLC/SLP) 
Paper Information
Registration To SP 
Conference Code 2009-12-SP-NLC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Dysarthric Speech Recognition Using Pose-Robust Lip Area Feature Extraction Based on AAM and Acoustic Features 
Sub Title (in English)  
Keyword(1) articulation disorders  
Keyword(2) audio-visual speech recognition  
Keyword(3) Active Appearance 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.)
6th Author's Name Toshitaka Nakabayashi  
6th Author's Affiliation Kobe University (Kobe Univ.)
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Speaker Author-1 
Date Time 2009-12-22 15:50:00 
Presentation Time 120 minutes 
Registration for SP 
Paper # NLC2009-29, SP2009-93 
Volume (vol) vol.109 
Number (no) no.355(NLC), no.356(SP) 
Page pp.195-200 
#Pages 6 
Date of Issue 2009-12-14 (NLC, SP) 

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