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Paper Abstract and Keywords
Presentation 2019-01-24 14:25
Development of living sound and non-verbal sound real-time recognition system using imitated syllable definition against non-verbal sound
Shotaro Takenouchi, Masayuki Numao (UEC) ICM2018-40 LOIS2018-46
Abstract (in Japanese) (See Japanese page) 
(in English) We propose a real-time non-verbal sound and daily-life sound recognition system, which also reflects identificating with speech and noise. To take characteristic of non-verbal sounds into consideration, we build a recognition method in the form of extending recognition targets of in generic speech recognition method. And we implemented by using a real-time speech recognition engine, which is suitable for our proposal. In order to identificating non-verbal sound accurately, we applied imitate syllable models to non-verbal sound. As a result of 3 evaluations against our proposal, we obtained the possibility of applicating to non-verbal sound recognition by using pseudo phoneme sequence definition. And even if laughter during speech, we got the result that laughter can be detected at a rate of about 50%. However, as a result of evaluation that assumed real time recognition from continuous sound, there was the problem that detection accuracy of non-verbal sound.
Keyword (in Japanese) (See Japanese page) 
(in English) Non-Velbal Sound Recognition / Life-Sound Recognition / Realtime Recognition / Imitate syllable definition / Julius / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 420, LOIS2018-46, pp. 27-32, Jan. 2019.
Paper # LOIS2018-46 
Date of Issue 2019-01-17 (ICM, LOIS) 
ISSN 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 ICM LOIS  
Conference Date 2019-01-24 - 2019-01-25 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English) Practical Use of Lifelog, Office Information System, Business Management, etc. 
Paper Information
Registration To LOIS 
Conference Code 2019-01-ICM-LOIS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Development of living sound and non-verbal sound real-time recognition system using imitated syllable definition against non-verbal sound 
Sub Title (in English)  
Keyword(1) Non-Velbal Sound Recognition  
Keyword(2) Life-Sound Recognition  
Keyword(3) Realtime Recognition  
Keyword(4) Imitate syllable definition  
Keyword(5) Julius  
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1st Author's Name Shotaro Takenouchi  
1st Author's Affiliation The University of Electro-Communications (UEC)
2nd Author's Name Masayuki Numao  
2nd Author's Affiliation The University of Electro-Communications (UEC)
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Speaker Author-1 
Date Time 2019-01-24 14:25:00 
Presentation Time 25 minutes 
Registration for LOIS 
Paper # ICM2018-40, LOIS2018-46 
Volume (vol) vol.118 
Number (no) no.419(ICM), no.420(LOIS) 
Page pp.27-32 
#Pages
Date of Issue 2019-01-17 (ICM, LOIS) 


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