| Paper Abstract and Keywords |
| Presentation |
2023-12-22 13:00
[Poster Presentation]
Multichannel Blind Source Separation Using Independent Low-Rank Matrix Analysis with Observed-Signal-Dependent Regularization Based on Spectrogram Consistency Takaaki Kojima, Norihiro Takamune, Sota Misawa (UTokyo), Daichi Kitamura (NIT,Kagawa), Hiroshi Saruwatari (UTokyo) EA2023-51 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
Independent low-rank matrix analysis (ILRMA) is the state-of-the-art technique for blind source separation under the overdetermined situation. Recently, some methods have proposed that focus on the spectrogram consistency of the separated signal in order to improve the separation performance. One of those methods introduces the regularization term that directly induces the separated signal to be consistent into ILRMA. Whereas in the conventional mothod, the regularization term is designed to be independent of the observed signal, the regularization term is designed to be specific to the observed signal in this study. For the obtained optimization problem, we drive a new update rule based on the majorization-minimization algorithm with an auxiliary function that is an extension of that used in conventional method. Finally, a numerical experiment is conducted to verify the separation performance. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
multichannel blind source separation / independent low-rank matrix analysis / permutation problem / spectrogram consistency / / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 123, no. 322, EA2023-51, pp. 13-20, Dec. 2023. |
| Paper # |
EA2023-51 |
| Date of Issue |
2023-12-15 (EA) |
| ISSN |
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 |
EA2023-51 |
| Conference Information |
| Committee |
EA US |
| Conference Date |
2023-12-22 - 2023-12-23 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
|
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
[Joint Meeting on Acoustics and Ultrasonics Subsociety] Engineering/Electro Acoustics, Ultrasonics, etc. |
| Paper Information |
| Registration To |
EA |
| Conference Code |
2023-12-EA-US |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Multichannel Blind Source Separation Using Independent Low-Rank Matrix Analysis with Observed-Signal-Dependent Regularization Based on Spectrogram Consistency |
| Sub Title (in English) |
|
| Keyword(1) |
multichannel blind source separation |
| Keyword(2) |
independent low-rank matrix analysis |
| Keyword(3) |
permutation problem |
| Keyword(4) |
spectrogram consistency |
| Keyword(5) |
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| Keyword(6) |
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| 1st Author's Name |
Takaaki Kojima |
| 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 |
Sota Misawa |
| 3rd Author's Affiliation |
The University of Tokyo (UTokyo) |
| 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 |
2023-12-22 13:00:00 |
| Presentation Time |
120 minutes |
| Registration for |
EA |
| Paper # |
EA2023-51 |
| Volume (vol) |
vol.123 |
| Number (no) |
no.322 |
| Page |
pp.13-20 |
| #Pages |
8 |
| Date of Issue |
2023-12-15 (EA) |