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Paper Abstract and Keywords
Presentation 2017-03-10 11:25
Support System for Lecture Captioning Using Detection of Input-difficult Words by Automatic Speech Recognition
Naofumi Ikeda (Nagoya Univ.), Yoshinori Takeuchi (Daido Univ.), Tetsuya Matsumoto, Hiroaki Kudo, Noboru Ohnishi (Nagoya Univ.) WIT2016-80
Abstract (in Japanese) (See Japanese page) 
(in English) PC captioning is one of information supports in lectures. In this study, we define the words that it is difficult to listen to and takes long time to input as “input-difficult words”. We propose a system to detect input-difficult words by automatic speech recognition (ASR), and present it to captionists. We assume that presentation slides are provided beforehand, and input-difficult words are extracted from the slides automatically. Next, in order to improve the detection rate of input-difficult words, we adapt the language model of ASR. The detected input-difficult words are presented on an editor for captioning. Captionists can insert the detected input-difficult words into the sentence by pressing the corresponding keys. We conducted captioning experiments with the proposed system. As a result, the transcription with proposed system depicted lecture content more accurately than when not using the system.
Keyword (in Japanese) (See Japanese page) 
(in English) Information support / PC captioning / Speech recognition / Hearing impairment / / / /  
Reference Info. IEICE Tech. Rep., vol. 116, no. 519, WIT2016-80, pp. 19-24, March 2017.
Paper # WIT2016-80 
Date of Issue 2017-03-03 (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)
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Conference Information
Committee WIT IPSJ-AAC  
Conference Date 2017-03-10 - 2017-03-11 
Place (in Japanese) (See Japanese page) 
Place (in English) Tsukuba University of Technology (Kasuga Campus) 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Hearing / Visually impaired person support technology, etc. 
Paper Information
Registration To WIT 
Conference Code 2017-03-WIT-AAC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Support System for Lecture Captioning Using Detection of Input-difficult Words by Automatic Speech Recognition 
Sub Title (in English)  
Keyword(1) Information support  
Keyword(2) PC captioning  
Keyword(3) Speech recognition  
Keyword(4) Hearing impairment  
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1st Author's Name Naofumi Ikeda  
1st Author's Affiliation Nagoya University (Nagoya Univ.)
2nd Author's Name Yoshinori Takeuchi  
2nd Author's Affiliation Daido University (Daido Univ.)
3rd Author's Name Tetsuya Matsumoto  
3rd Author's Affiliation Nagoya University (Nagoya Univ.)
4th Author's Name Hiroaki Kudo  
4th Author's Affiliation Nagoya University (Nagoya Univ.)
5th Author's Name Noboru Ohnishi  
5th Author's Affiliation Nagoya University (Nagoya Univ.)
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Speaker Author-1 
Date Time 2017-03-10 11:25:00 
Presentation Time 25 minutes 
Registration for WIT 
Paper # WIT2016-80 
Volume (vol) vol.116 
Number (no) no.519 
Page pp.19-24 
#Pages 6 
Date of Issue 2017-03-03 (WIT) 

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