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Paper Abstract and Keywords
Presentation 2018-12-13 14:55
Applause Detection in a viewing site for Ambient Transmission in Live Viewing System
Moe Nishikawa, Kazuhiko Kawahara (Kyushu Univ.), Yutaka Kamamoto, Takashi Sato (NTT), Kazuhiro Ouchi, Akira Omoto (Kyushu Univ.), Takehiro Moriya (NTT) EA2018-85
Abstract (in Japanese) (See Japanese page) 
(in English) "APRICOT: APplause for Realistic-Immersive Contents Transmission" system has been proposed by the authors. The system can feed back the applause sound that occurred at the venue of the live viewing venue to the performance venue, in order to improve the sense of unity and participation of live viewing. This paper describes an attempt to automate applause sound detection, which needs to be implemented in the APRICOT. Also, we assumed that APRICOT will be used for speech and presentation in alternate to music content, and tried to detect applause sound in a live distribution of the lecture.
Experimental results showed that using the adaptive filter to emphasize the sounds generated at the venue and using the information of the error signal of adaptive filter, it was possible to detect applause sound in the lecture practically accurately. In the music content, it is also expected that it can be improved by combining not only the amplitude information but also with the frequency information.
Keyword (in Japanese) (See Japanese page) 
(in English) Live Viewing / Applause / Audio-Visual Transmission / Reality Enhancement / Adaptive signal processing / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 357, EA2018-85, pp. 27-32, Dec. 2018.
Paper # EA2018-85 
Date of Issue 2018-12-06 (EA) 
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 EA  
Conference Date 2018-12-13 - 2018-12-14 
Place (in Japanese) (See Japanese page) 
Place (in English) kyushu Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Engineering/Electro Acoustics, and Related Topics 
Paper Information
Registration To EA 
Conference Code 2018-12-EA 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Applause Detection in a viewing site for Ambient Transmission in Live Viewing System 
Sub Title (in English)  
Keyword(1) Live Viewing  
Keyword(2) Applause  
Keyword(3) Audio-Visual Transmission  
Keyword(4) Reality Enhancement  
Keyword(5) Adaptive signal processing  
Keyword(6)  
Keyword(7)  
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1st Author's Name Moe Nishikawa  
1st Author's Affiliation Kyushu University (Kyushu Univ.)
2nd Author's Name Kazuhiko Kawahara  
2nd Author's Affiliation Kyushu University (Kyushu Univ.)
3rd Author's Name Yutaka Kamamoto  
3rd Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
4th Author's Name Takashi Sato  
4th Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
5th Author's Name Kazuhiro Ouchi  
5th Author's Affiliation Kyushu University (Kyushu Univ.)
6th Author's Name Akira Omoto  
6th Author's Affiliation Kyushu University (Kyushu Univ.)
7th Author's Name Takehiro Moriya  
7th Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
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Speaker Author-1 
Date Time 2018-12-13 14:55:00 
Presentation Time 25 minutes 
Registration for EA 
Paper # EA2018-85 
Volume (vol) vol.118 
Number (no) no.357 
Page pp.27-32 
#Pages 6 
Date of Issue 2018-12-06 (EA) 

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