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) |
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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) |
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sound source detection |
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learning |
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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 |
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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 |
6 |
Date of Issue |
2010-08-29 (PRMU, IBISML) |
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