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Paper Abstract and Keywords
Presentation 2010-09-05 16:30
Sound Source Detection by Learning
Chihiro Ikeda, Yaokai Feng, Seiichi Uchida (Kyushu Univ.) PRMU2010-69 IBISML2010-41
Abstract (in Japanese) (See Japanese page) 
(in English) Sound source detection in an image is a difficult inverse problem where the pixels belonging to the sound source area are to be estimated. The purpose of this paper is to consider an accurate sound source detection
method by using machine learning framework. Specifically, the proposed method relies on an AdaBoost-based learning scheme for discriminating whether each pixel belongs to a sound source or not. The learning is done by training weak learners to discriminate positive samples (couples of image features around sound sources and audio features) and negative samples (couples of image features distant from sound sources and audio features). This learning scheme simply combines these multimodal information (i.e., image and audio) by using some weak learners to discriminate the samples by a single image feature and others by a single audio feature. The performance of this naive implementation
based on a simple combination of multimodal information was examined experimentally and its essential problem was revealed with a possible remedy.
Keyword (in Japanese) (See Japanese page) 
(in English) sound source detection / learning / AdaBoost / / / / /  
Reference Info. IEICE Tech. Rep., vol. 110, no. 187, PRMU2010-69, pp. 93-98, Sept. 2010.
Paper # PRMU2010-69 
Date of Issue 2010-08-29 (PRMU, IBISML) 
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 PRMU2010-69 IBISML2010-41

Conference Information
Committee IBISML PRMU IPSJ-CVIM  
Conference Date 2010-09-05 - 2010-09-06 
Place (in Japanese) (See Japanese page) 
Place (in English) Fukuoka Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Machine learning and optimization for computer vision and pattern recognition, etc. 
Paper Information
Registration To PRMU 
Conference Code 2010-09-IBISML-PRMU 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Sound Source Detection by Learning 
Sub Title (in English)  
Keyword(1) sound source detection  
Keyword(2) learning  
Keyword(3) AdaBoost  
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1st Author's Name Chihiro Ikeda  
1st Author's Affiliation Kyushu University (Kyushu Univ.)
2nd Author's Name Yaokai Feng  
2nd Author's Affiliation Kyushu University (Kyushu Univ.)
3rd Author's Name Seiichi Uchida  
3rd Author's Affiliation Kyushu University (Kyushu Univ.)
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Speaker Author-1 
Date Time 2010-09-05 16:30:00 
Presentation Time 30 minutes 
Registration for PRMU 
Paper # PRMU2010-69, IBISML2010-41 
Volume (vol) vol.110 
Number (no) no.187(PRMU), no.188(IBISML) 
Page pp.93-98 
#Pages
Date of Issue 2010-08-29 (PRMU, IBISML) 


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