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Paper Abstract and Keywords
Presentation 2023-03-01 09:50
Regularization Term Design Based on Spectrogram Consistency in Independent Low-Rank Matrix Analysis for Multichannel Audio Source Separation
Sota Misawa, Norihiro Takamune (UTokyo), Kohei Yatabe (TUAT), Daichi Kitamura (NIT, Kagawa), Hiroshi Saruwatari (UTokyo) EA2022-105 SIP2022-149 SP2022-69
Abstract (in Japanese) (See Japanese page) 
(in English) It is known that block permutation occurs in the separated signals obtained by independent low-rank matrix analysis. Recently, a new method that focuses on the spectrogram consistency of the signal has been proposed to induce low-rank property on the projected spectrogram of the separated signal onto the spectrogram-consistent space. In contrast to the conventional methods, which do not care how far the spectrogram of the separated signal is from the spectrogram-consistent space, we design a regularization term that induces the spectrogram of the separated signal itself to be consistent. For the designed optimization problem, we derive the update rules based on the auxiliary function method. We verify the effectiveness of the proposed method by the experiment.
Keyword (in Japanese) (See Japanese page) 
(in English) multichannel blind source separation / independent low-rank matrix analysis / block permutation problem / spectrogram consistency / / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 387, EA2022-105, pp. 177-184, Feb. 2023.
Paper # EA2022-105 
Date of Issue 2023-02-21 (EA, SIP, SP) 
ISSN 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 SP IPSJ-SLP EA SIP  
Conference Date 2023-02-28 - 2023-03-01 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To EA 
Conference Code 2023-02-SP-SLP-EA-SIP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Regularization Term Design Based on Spectrogram Consistency in Independent Low-Rank Matrix Analysis for Multichannel Audio Source Separation 
Sub Title (in English)  
Keyword(1) multichannel blind source separation  
Keyword(2) independent low-rank matrix analysis  
Keyword(3) block permutation problem  
Keyword(4) spectrogram consistency  
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1st Author's Name Sota Misawa  
1st Author's Affiliation The University of Tokyo (UTokyo)
2nd Author's Name Norihiro Takamune  
2nd Author's Affiliation The University of Tokyo (UTokyo)
3rd Author's Name Kohei Yatabe  
3rd Author's Affiliation Tokyo University of Agriculture and Technology (TUAT)
4th Author's Name Daichi Kitamura  
4th Author's Affiliation National Institute of Technology, Kagawa College (NIT, Kagawa)
5th Author's Name Hiroshi Saruwatari  
5th Author's Affiliation The University of Tokyo (UTokyo)
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Speaker Author-1 
Date Time 2023-03-01 09:50:00 
Presentation Time 20 minutes 
Registration for EA 
Paper # EA2022-105, SIP2022-149, SP2022-69 
Volume (vol) vol.122 
Number (no) no.387(EA), no.388(SIP), no.389(SP) 
Page pp.177-184 
#Pages
Date of Issue 2023-02-21 (EA, SIP, SP) 


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