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Paper Abstract and Keywords
Presentation 2013-02-02 15:25
Eye motion input based speech synthesis interface for communication aids
Fuming Fang, Takahiro Shinozaki, Yasuo Horiuchi, Shingo Kuroiwa (Chiba Univ), Sadaoki Furui (Tokyo Tech), Toshimitsu Musha (BFL) WIT2012-38
Abstract (in Japanese) (See Japanese page) 
(in English) In order to provide an efficient means of communication for those who cannot move muscles of their whole body except eyes due to amyotrophic lateral sclerosis (ALS), we are studying a speech synthesis interface based on electrooculogram (EOG) input. The system consists of an EOG input module, an eye motion recognizer, and a speech synthesizer. In this paper, we improve the EOG input based eye motion recognizer applying speech recognition techniques. In our previous system, a hidden Markov model (HMM) based bi eye-motion model was used. However, it was not enough to effectively model the context effects of eye motions. In this study, we investigate using a tied-state tri eye-motion model. Moreover, an N-gram model is integrated to the recognition system. In the experiment, it is shown that 96.2% of character ecognition accuracy is obtained by using the tri eye-motion model whereas it is 84.3% and 89.1% for mono and bi eye-motion models, respectively. By using a character 3-gram model in combination with the tri eye motion-model, the highest character accuracy of 97.3% has been obtained.
Keyword (in Japanese) (See Japanese page) 
(in English) Electrooculogram / Hidden Markov model / N-gram / Speech synthesis / Communication aids / / /  
Reference Info. IEICE Tech. Rep., vol. 112, no. 426, WIT2012-38, pp. 29-34, Feb. 2013.
Paper # WIT2012-38 
Date of Issue 2013-01-26 (WIT) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
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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)
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Conference Information
Committee WIT  
Conference Date 2013-02-02 - 2013-02-02 
Place (in Japanese) (See Japanese page) 
Place (in English) Nagoya Institute of Technology 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Well-being Information Technology, Local Community and Well‐being 
Paper Information
Registration To WIT 
Conference Code 2013-02-WIT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Eye motion input based speech synthesis interface for communication aids 
Sub Title (in English)  
Keyword(1) Electrooculogram  
Keyword(2) Hidden Markov model  
Keyword(3) N-gram  
Keyword(4) Speech synthesis  
Keyword(5) Communication aids  
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Keyword(8)  
1st Author's Name Fuming Fang  
1st Author's Affiliation Chiba University (Chiba Univ)
2nd Author's Name Takahiro Shinozaki  
2nd Author's Affiliation Chiba University (Chiba Univ)
3rd Author's Name Yasuo Horiuchi  
3rd Author's Affiliation Chiba University (Chiba Univ)
4th Author's Name Shingo Kuroiwa  
4th Author's Affiliation Chiba University (Chiba Univ)
5th Author's Name Sadaoki Furui  
5th Author's Affiliation Tokyo Institute of Technology (Tokyo Tech)
6th Author's Name Toshimitsu Musha  
6th Author's Affiliation Brain Functions Laboratory, Inc (BFL)
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Speaker Author-1 
Date Time 2013-02-02 15:25:00 
Presentation Time 25 minutes 
Registration for WIT 
Paper # WIT2012-38 
Volume (vol) vol.112 
Number (no) no.426 
Page pp.29-34 
#Pages
Date of Issue 2013-01-26 (WIT) 


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