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| Presentation | 2010-12-10 14:50 [Invited Talk] Convolutive blind source separation using time-frequency masks Hiroshi Sawada, Shoko Araki (NTT)  EA2010-104 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | A blind source separation method for convolutive mixtures is presented. The method is based on time-frequency masks and can be applied even to an underdetermined case where the number of microphones is less than the number of sources. The separation operation is performed in the frequency domain and consists of two stages. In the first stage, frequency-domain mixture samples are clustered into each source by an expectation-maximization (EM) algorithm. In the second stage, the permutation ambiguities of the bin-wise clustered samples are aligned by using the probability on how likely each sample belongs to the assigned class. Experimental results for separating four speech signals with three microphones under reverberant conditions show the superiority of the presented method over existing methods. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Blind source separation / Convolutive mixture / Short-time Fourier transform / Sparseness / Time-frequency mask / EM algorithm / Permutation problem / | |
| Reference Info. | IEICE Tech. Rep., vol. 110, no. 331, EA2010-104, pp. 43-48, Dec. 2010. | |
| Paper # | EA2010-104 | |
| Date of Issue | 2010-12-03 (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 | EA2010-104 |
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| Conference Information | |
| Committee | EA |
| Conference Date | 2010-12-10 - 2010-12-10 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Univ. of Tsukuba |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | General Topics |
| Paper Information | |
| Registration To | EA |
| Conference Code | 2010-12-EA |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Convolutive blind source separation using time-frequency masks |
| Sub Title (in English) | |
| Keyword(1) | Blind source separation |
| Keyword(2) | Convolutive mixture |
| Keyword(3) | Short-time Fourier transform |
| Keyword(4) | Sparseness |
| Keyword(5) | Time-frequency mask |
| Keyword(6) | EM algorithm |
| Keyword(7) | Permutation problem |
| Keyword(8) | |
| 1st Author's Name | Hiroshi Sawada |
| 1st Author's Affiliation | NTT Corporation (NTT) |
| 2nd Author's Name | Shoko Araki |
| 2nd Author's Affiliation | NTT Corporation (NTT) |
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| Speaker | Author-1 |
| Date Time | 2010-12-10 14:50:00 |
| Presentation Time | 60 minutes |
| Registration for | EA |
| Paper # | EA2010-104 |
| Volume (vol) | vol.110 |
| Number (no) | no.331 |
| Page | pp.43-48 |
| #Pages | 6 |
| Date of Issue | 2010-12-03 (EA) |
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