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Paper Abstract and Keywords
Presentation 2018-01-23 13:00
[Poster Presentation] Performance improvement of gridless sound field decomposition using signal separation based on convex optimization
Yuhta Takida, Shoichi Koyama, Natsuki Ueno, Hiroshi Saruwatari (The Univ. of Tokyo) EA2017-87
Abstract (in Japanese) (See Japanese page) 
(in English) A sound field reconstruction method inside a region including sound sources is proposed. Previously, a method based on a discretization of the region into grid points and spatial sparsity of the sound sources has been proposed. However, in such a method, reconstruction accuracy will deteriorate when sound sources are not on the grid points and the grid points around the reconstruction region are falsely activated. We have previously proposed a gridless sound field decomposition method based on reciprocity gap functional in the spherical harmonic domain, which enables decomposition without discretization of the domain. This method includes separation of exterior and interior sound field using multiple spherical microphone arrays. On the other hand, a sound field separation method based on sparsity of the interior field in the plane-wave domain, which is solved as a convex optimization problem, has been shown to be effective by the authors.We here consider incorporating the convex-optimization-based separation method into the gridless sound field decomposition. Numerical experimental results indicated the efficacy of the proposed method in terms of the reconstruction accuracy.
Keyword (in Japanese) (See Japanese page) 
(in English) Sound field recording / Reciprocity gap functional / Convex optimization / Spherical microphone array / / / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 399, EA2017-87, pp. 19-24, Jan. 2018.
Paper # EA2017-87 
Date of Issue 2018-01-16 (EA) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
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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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Conference Information
Committee US EA  
Conference Date 2018-01-23 - 2018-01-24 
Place (in Japanese) (See Japanese page) 
Place (in English)  
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Paper Information
Registration To EA 
Conference Code 2018-01-US-EA 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Performance improvement of gridless sound field decomposition using signal separation based on convex optimization 
Sub Title (in English)  
Keyword(1) Sound field recording  
Keyword(2) Reciprocity gap functional  
Keyword(3) Convex optimization  
Keyword(4) Spherical microphone array  
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1st Author's Name Yuhta Takida  
1st Author's Affiliation The University of Tokyo (The Univ. of Tokyo)
2nd Author's Name Shoichi Koyama  
2nd Author's Affiliation The University of Tokyo (The Univ. of Tokyo)
3rd Author's Name Natsuki Ueno  
3rd Author's Affiliation The University of Tokyo (The Univ. of Tokyo)
4th Author's Name Hiroshi Saruwatari  
4th Author's Affiliation The University of Tokyo (The Univ. of Tokyo)
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Speaker Author-1 
Date Time 2018-01-23 13:00:00 
Presentation Time 120 minutes 
Registration for EA 
Paper # EA2017-87 
Volume (vol) vol.117 
Number (no) no.399 
Page pp.19-24 
#Pages
Date of Issue 2018-01-16 (EA) 


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