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Paper Abstract and Keywords
Presentation 2015-12-03 13:15
Noise-Robust Scream Detection using Spectral Entropy and Multi-Condition Training
Noboru Hayasaka (OECU) SIS2015-29
Abstract (in Japanese) (See Japanese page) 
(in English) Recently, as crimes have become more diverse and increasingly sophisticated, our awareness of security systems has increased.
The most typical kind of security system is a security camera, but there are various issues in that there are situations in which they cannot be used, such as from consideration of privacy or in darkness.
For that reason, security systems that utilize sound information have been proposed. This report relates to scream identification and scream detection systems that focuses on screams within various sounds, and proposes techniques increasing its noise robustness. More specifically, we use spectral entropy, which expresses the difference in frequency distribution between a scream and noise, as a feature, and also construct a scream Gaussian mixture model (GMM) from screams with superimposed noise. In scream identification and scream detection experiments under noisy environments, the proposed method could be improved the equal error rate under all noisy environment, in comparison with the conventional method.
Keyword (in Japanese) (See Japanese page) 
(in English) scream detection / spectral entropy / multi-condition training / / / / /  
Reference Info. IEICE Tech. Rep., vol. 115, no. 348, SIS2015-29, pp. 1-6, Dec. 2015.
Paper # SIS2015-29 
Date of Issue 2015-11-26 (SIS) 
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)
Download PDF SIS2015-29

Conference Information
Committee SIS  
Conference Date 2015-12-03 - 2015-12-04 
Place (in Japanese) (See Japanese page) 
Place (in English) Matsuya-sensen (Awara city, Fukui) 
Topics (in Japanese) (See Japanese page) 
Topics (in English) SoC, Related to RFID, etc. 
Paper Information
Registration To SIS 
Conference Code 2015-12-SIS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Noise-Robust Scream Detection using Spectral Entropy and Multi-Condition Training 
Sub Title (in English)  
Keyword(1) scream detection  
Keyword(2) spectral entropy  
Keyword(3) multi-condition training  
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1st Author's Name Noboru Hayasaka  
1st Author's Affiliation Osaka Electro-Communication University (OECU)
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Speaker Author-1 
Date Time 2015-12-03 13:15:00 
Presentation Time 20 minutes 
Registration for SIS 
Paper # SIS2015-29 
Volume (vol) vol.115 
Number (no) no.348 
Page pp.1-6 
#Pages 6 
Date of Issue 2015-11-26 (SIS) 

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