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Paper Abstract and Keywords
Presentation 2010-10-08 10:00
An abnormal sound detection method using multi-stage GMM for surveillance microphone
Akinori Ito, Akihito Aiba (Tohoku Univ.), Masashi Ito (Tohoku Inst. Tech.), Shozo Makino (TBGU) PRMU2010-88 SP2010-44 WIT2010-32
Abstract (in Japanese) (See Japanese page) 
(in English) We have been developing a method for detecting abnormal sound events from audio signal recorded in real environments, which uses the multi-stage Gaussian Mixture Models (GMM) that learns rare sounds using multiple GMMs. In this paper, we investigate relationship between sound environment and detection performance, and we found that the performance deteriorates in noisy environments. The performance largely depended on SN ratio of the abnormal sounds. Next, we investigated methods for determining hyperparameters of the multi-stage GMM, which involves intermediate thresholds, numbers of mixture of GMMs and the detection threshold. From the experimental results, combination of Percentile-based threshold determination and Bayesian information criterion (BIC)-based mixture determination was most effective. However, when using the automatically-determined parameters, the detection performance deteriorated around 20%.
Keyword (in Japanese) (See Japanese page) 
(in English) CCTV / incident detection / abnormal sound detection / GMM / / / /  
Reference Info. IEICE Tech. Rep., vol. 110, no. 220, SP2010-44, pp. 1-6, Oct. 2010.
Paper # SP2010-44 
Date of Issue 2010-10-01 (PRMU, SP, WIT) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
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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 PRMU2010-88 SP2010-44 WIT2010-32

Conference Information
Committee PRMU SP WIT  
Conference Date 2010-10-08 - 2010-10-09 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To SP 
Conference Code 2010-10-PRMU-SP-WIT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) An abnormal sound detection method using multi-stage GMM for surveillance microphone 
Sub Title (in English)  
Keyword(1) CCTV  
Keyword(2) incident detection  
Keyword(3) abnormal sound detection  
Keyword(4) GMM  
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1st Author's Name Akinori Ito  
1st Author's Affiliation Tohoku University (Tohoku Univ.)
2nd Author's Name Akihito Aiba  
2nd Author's Affiliation Tohoku University (Tohoku Univ.)
3rd Author's Name Masashi Ito  
3rd Author's Affiliation Tohoku Institute of Technology (Tohoku Inst. Tech.)
4th Author's Name Shozo Makino  
4th Author's Affiliation Tohoku Bunka Gakuen University (TBGU)
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Speaker Author-1 
Date Time 2010-10-08 10:00:00 
Presentation Time 30 minutes 
Registration for SP 
Paper # PRMU2010-88, SP2010-44, WIT2010-32 
Volume (vol) vol.110 
Number (no) no.219(PRMU), no.220(SP), no.221(WIT) 
Page pp.1-6 
#Pages 6 
Date of Issue 2010-10-01 (PRMU, SP, WIT) 

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