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| Presentation | 2019-12-13 13:25 Rank-constrained spatial covariance matrix estimation based on multivariate complex generalized Gaussian distribution and its acceleration for blind speech extraction Yuki Kubo, Norihiro Takamune (UTokyo), Daichi Kitamura (NIT, Kagawa), Hiroshi Saruwatari (UTokyo)  EA2019-78 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In this paper, we generalize a generative model in rank-constrained spatial covariance matrix estimation that separates and extracts directional target speech from diffuse background sources. Conventional method models an observed signal with the multivariate complex Gaussian distribution using parameters estimated by ILRMA in advance and efficiently separates the target speech. This paper models an observed signal with the multivariate complex generalized Gaussian distribution and proposes its optimization algorithm. Also, the acceleration method for conventional method can be applied to the proposed model. In the experiments, we separate simulated speech signal under diffuse babble, station, and traffic noise and real-recorded speech signal under diffuse noise to show superiority of the proposed method. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | blind source separation / spatial covariance matrix / multivariate complex generalized Gaussian distribution / auxiliary function method / multiplicative update rule / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 119, no. 334, EA2019-78, pp. 85-92, Dec. 2019. | |
| Paper # | EA2019-78 | |
| Date of Issue | 2019-12-05 (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) | |
| Download PDF | EA2019-78 |
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| Conference Information | |
| Committee | EA |
| Conference Date | 2019-12-12 - 2019-12-13 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Kyushu Inst. Tech. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Engineering/Electro Acoustics, and Related Topics |
| Paper Information | |
| Registration To | EA |
| Conference Code | 2019-12-EA |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Rank-constrained spatial covariance matrix estimation based on multivariate complex generalized Gaussian distribution and its acceleration for blind speech extraction |
| Sub Title (in English) | |
| Keyword(1) | blind source separation |
| Keyword(2) | spatial covariance matrix |
| Keyword(3) | multivariate complex generalized Gaussian distribution |
| Keyword(4) | auxiliary function method |
| Keyword(5) | multiplicative update rule |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Yuki Kubo |
| 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 | Daichi Kitamura |
| 3rd Author's Affiliation | National Institute of Technology, Kagawa College (NIT, Kagawa) |
| 4th Author's Name | Hiroshi Saruwatari |
| 4th Author's Affiliation | The University of Tokyo (UTokyo) |
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| Speaker | Author-1 |
| Date Time | 2019-12-13 13:25:00 |
| Presentation Time | 25 minutes |
| Registration for | EA |
| Paper # | EA2019-78 |
| Volume (vol) | vol.119 |
| Number (no) | no.334 |
| Page | pp.85-92 |
| #Pages | 8 |
| Date of Issue | 2019-12-05 (EA) |
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