Paper Abstract and Keywords |
Presentation |
2017-01-25 13:00
[Poster Presentation]
Study on efficient solver for independent low-rank matrix analysis with sparse time-series-activity regularization Yoshiki Mitsui (Univ. Tokyo), Daichi Kitamura (SOKENDAI), Shinnosuke Takamichi (Univ. Tokyo), Nobutaka Ono (NII/SOKENDAI), Hiroshi Saruwatari (Univ. Tokyo) EA2016-72 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In this paper, we propose a new blind source separation (BSS) method based on independent low-rank matrix analysis (ILRMA) with novel sparse regularization. ILRMA is a recently proposed BSS algorithm that simultaneously estimates a demixing matrix and source spectrogram models based on nonnegative matrix factorization (NMF). To improve the separation accuracy and stability, an additional constraint such as sparseness is needed but there have been no studies on this so far. In this study, we introduce an a priori statistical model for time-series amplitudes of source spectrograms, employing a new frequency-wise sparse regularization using estimates from the Bayesian postfilter to enhance the modeling accuracy. This regularization results in a bilevel optimization problem that consists of the estimation of a sparsity-emphasized source model using NMF and the separation of sources by ILRMA. In this paper, we present two approximated optimization schemes and their combination for performing regularized ILRMA. The efficacy of the proposed method is confirmed in a BSS experiment. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
blind source separation / nonnegative matrix factorization / independent low-rank matrix analysis / reguralization / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 116, no. 420, EA2016-72, pp. 25-30, Jan. 2017. |
Paper # |
EA2016-72 |
Date of Issue |
2017-01-18 (EA) |
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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EA2016-72 |
Conference Information |
Committee |
EA US |
Conference Date |
2017-01-25 - 2017-01-26 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Doshisha Univ. |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
[Joint Meeting on Acoustics and Ultrasonics Subsociety] Engineering/Electro Acoustics, Ultrasonic and Underwater Acoustics, and Related Topics |
Paper Information |
Registration To |
EA |
Conference Code |
2017-01-EA-US |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Study on efficient solver for independent low-rank matrix analysis with sparse time-series-activity regularization |
Sub Title (in English) |
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Keyword(1) |
blind source separation |
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nonnegative matrix factorization |
Keyword(3) |
independent low-rank matrix analysis |
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reguralization |
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1st Author's Name |
Yoshiki Mitsui |
1st Author's Affiliation |
The University of Tokyo (Univ. Tokyo) |
2nd Author's Name |
Daichi Kitamura |
2nd Author's Affiliation |
The Graduate University for Advanced Studies (SOKENDAI) |
3rd Author's Name |
Shinnosuke Takamichi |
3rd Author's Affiliation |
The University of Tokyo (Univ. Tokyo) |
4th Author's Name |
Nobutaka Ono |
4th Author's Affiliation |
National Institute of Informatics/The Graduate University for Advanced Studies (NII/SOKENDAI) |
5th Author's Name |
Hiroshi Saruwatari |
5th Author's Affiliation |
The University of Tokyo (Univ. Tokyo) |
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Speaker |
Author-1 |
Date Time |
2017-01-25 13:00:00 |
Presentation Time |
90 minutes |
Registration for |
EA |
Paper # |
EA2016-72 |
Volume (vol) |
vol.116 |
Number (no) |
no.420 |
Page |
pp.25-30 |
#Pages |
6 |
Date of Issue |
2017-01-18 (EA) |
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