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Paper Abstract and Keywords
Presentation 2017-12-22 11:20
A Sound Source Separation Method for Multiple Person Speech Recognition using Wavelet Analysis Based on Sound Source Position Obtained by Depth Sensor
Nobuhiro Uehara, Kazuo Ikeshiro, Hiroki Imamura (Soka Univ.) SP2017-63
Abstract (in Japanese) (See Japanese page) 
(in English) Recently, voice information guidance systems are used for only one person in operating at a city hall. To realize operating for multiple people simultaneously, we propose a sound source separation method using wavelet analysis based on positions of user obtained by depth sensor. Through the results of evaluation experiments, we found the proposed method was equal to or greater than that of a conventional method in recognition accuracy.
Keyword (in Japanese) (See Japanese page) 
(in English) Speech Recognition / Sound Source Separation / Noise Reduction / Depth Image / Sparse Modeling / / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 368, SP2017-63, pp. 79-83, Dec. 2017.
Paper # SP2017-63 
Date of Issue 2017-12-14 (SP) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
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)
Notes on Review This article is a technical report without peer review, and its polished version will be published elsewhere.
Download PDF SP2017-63

Conference Information
Conference Date 2017-12-20 - 2017-12-22 
Place (in Japanese) (See Japanese page) 
Place (in English) Waseda Univ. Green Computing Systems Research Organization 
Topics (in Japanese) (See Japanese page) 
Topics (in English) The 4th Natural Language Processing Symposium & The 19th Spoken Language Symposium 
Paper Information
Registration To SP 
Conference Code 2017-12-NLC-NL-SP-SLP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Sound Source Separation Method for Multiple Person Speech Recognition using Wavelet Analysis Based on Sound Source Position Obtained by Depth Sensor 
Sub Title (in English)  
Keyword(1) Speech Recognition  
Keyword(2) Sound Source Separation  
Keyword(3) Noise Reduction  
Keyword(4) Depth Image  
Keyword(5) Sparse Modeling  
1st Author's Name Nobuhiro Uehara  
1st Author's Affiliation Soka University (Soka Univ.)
2nd Author's Name Kazuo Ikeshiro  
2nd Author's Affiliation Soka University (Soka Univ.)
3rd Author's Name Hiroki Imamura  
3rd Author's Affiliation Soka University (Soka Univ.)
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Speaker Author-1 
Date Time 2017-12-22 11:20:00 
Presentation Time 25 minutes 
Registration for SP 
Paper # SP2017-63 
Volume (vol) vol.117 
Number (no) no.368 
Page pp.79-83 
Date of Issue 2017-12-14 (SP) 

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