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Paper Abstract and Keywords
Presentation 2013-06-14 15:25
Keyword Extraction from Speech on an Electronic Note-taking Support System
Chifuyu Yonekura, Kohei Ota, Yuto Furuya, Hiromitsu Nishizaki, Yoshihiro Sekiguchi (Unv.of Yamanashi) TL2013-3 NLC2013-3
Abstract (in Japanese) (See Japanese page) 
(in English) This paper describes the effectiveness of a spoken term detection (STD) technique on an electric note-taking support system. Most STD studies targeted to improve term detection performance, and there are few STD researches focus on its effectiveness on real environments. Therefore, we test the effectiveness of the STD technique in a browsing work using the electric note-taking support system we have already developed. This is performed by a subjective experiment. In the subjective experiment, subjects made an electronic notes by using the system with listening to a lecture, and they answered questions related to the lecture with browsing the notes. A response time that a subject correctly answered the all questions was measured. When the subjects browsed theier notes, half of the subjects used the STD technique and the others did not use it. The experimental result showed that the subjects who used the STD technique answered the all questions faster than the other subjects. This claimed that the STD technique worked well on the browsing work on the electric note-taking system.
Keyword (in Japanese) (See Japanese page) 
(in English) Electronic note-taking support system / real environments / speech recognition / spoken term detection / / / /  
Reference Info. IEICE Tech. Rep., vol. 113, no. 83, NLC2013-3, pp. 13-18, June 2013.
Paper # NLC2013-3 
Date of Issue 2013-06-07 (TL, NLC) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
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 TL NLC  
Conference Date 2013-06-14 - 2013-06-15 
Place (in Japanese) (See Japanese page) 
Place (in English) University of Tsukuba 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To NLC 
Conference Code 2013-06-TL-NLC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Keyword Extraction from Speech on an Electronic Note-taking Support System 
Sub Title (in English)  
Keyword(1) Electronic note-taking support system  
Keyword(2) real environments  
Keyword(3) speech recognition  
Keyword(4) spoken term detection  
1st Author's Name Chifuyu Yonekura  
1st Author's Affiliation University of Yamanashi (Unv.of Yamanashi)
2nd Author's Name Kohei Ota  
2nd Author's Affiliation University of Yamanashi (Unv.of Yamanashi)
3rd Author's Name Yuto Furuya  
3rd Author's Affiliation University of Yamanashi (Unv.of Yamanashi)
4th Author's Name Hiromitsu Nishizaki  
4th Author's Affiliation University of Yamanashi (Unv.of Yamanashi)
5th Author's Name Yoshihiro Sekiguchi  
5th Author's Affiliation University of Yamanashi (Unv.of Yamanashi)
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Speaker Author-1 
Date Time 2013-06-14 15:25:00 
Presentation Time 25 minutes 
Registration for NLC 
Paper # TL2013-3, NLC2013-3 
Volume (vol) vol.113 
Number (no) no.82(TL), no.83(NLC) 
Page pp.13-18 
Date of Issue 2013-06-07 (TL, NLC) 

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