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| Presentation | 2008-05-29 16:50 [Fellow Memorial Lecture] Blind Audio Source Separation based on Independent Component Analysis Shoji Makino (NTT)  EA2008-17 SIP2008-26 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | This paper describes a state-of-the-art method for the blind source separation (BSS) of convolutive mixtures of audio signals. A statistical and computational technique, called independent component analysis (ICA), is examined. By achieving nonlinear decorrelation, nonstationary decorrelation, or time-delayed decorrelation, we can find source signals only from observed mixed signals. Particular attention is paid to the physical interpretation of BSS from the acoustical signal processing point of view. Frequency-domain BSS is shown to be equivalent to two sets of frequency domain adaptive microphone arrays, i.e., adaptive beamformers (ABFs). Although BSS can reduce reverberant sounds to some extent in the same way as ABF, it mainly removes the sounds from the jammer direction. This is why BSS has difficulties with long reverberation in the real world. If sources are not ``independent,'' the dependence results in bias noise when obtaining the correct separation filter coefficients. Therefore, the performance of BSS is limited by that of ABF. Although BSS is upper bounded by ABF, BSS has a strong advantage over ABF. BSS can be regarded as an intelligent version of ABF in the sense that it can adapt without any information on the array manifold or the target direction, and sources can be simultaneously active in BSS. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Blind source separation / independent component analysis / convolutive mixtures / adaptive beamformers / microphone array / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 108, no. 68, EA2008-17, pp. 65-73, May 2008. | |
| Paper # | EA2008-17 | |
| Date of Issue | 2008-05-22 (EA, SIP) | |
| 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 | EA2008-17 SIP2008-26 |
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| Conference Information | |
| Committee | SIP EA |
| Conference Date | 2008-05-29 - 2008-05-30 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Kansai Univ. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | EA |
| Conference Code | 2008-05-SIP-EA |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Blind Audio Source Separation based on Independent Component Analysis |
| Sub Title (in English) | |
| Keyword(1) | Blind source separation |
| Keyword(2) | independent component analysis |
| Keyword(3) | convolutive mixtures |
| Keyword(4) | adaptive beamformers |
| Keyword(5) | microphone array |
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| Keyword(8) | |
| 1st Author's Name | Shoji Makino |
| 1st Author's Affiliation | NTT (NTT) |
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| Speaker | Author-1 |
| Date Time | 2008-05-29 16:50:00 |
| Presentation Time | 60 minutes |
| Registration for | EA |
| Paper # | EA2008-17, SIP2008-26 |
| Volume (vol) | vol.108 |
| Number (no) | no.68(EA), no.70(SIP) |
| Page | pp.65-73 |
| #Pages | 9 |
| Date of Issue | 2008-05-22 (EA, SIP) |
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