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| Paper Abstract and Keywords | ||
| Presentation | 2019-03-15 11:25 [Invited Talk] Realization of real-time blind source separation with auxiliary-function-based algorithms Nobutaka Ono (TMU)  EA2018-133 SIP2018-139 SP2018-95 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Blind source separation is a signal processing technique to estimate sound source signals only from the observation of mixture without using any prior information such as sound source positions. From a wide range of applicability including speech recognition, it has been studied for a long time. In particular, independent component analysis (ICA) and independent vector analysis (IVA) are typical methods, but conventional natural gradient-based algorithms need a large number of iterations until convergence, which was a big problem for practical application. For solving this, since around 2010, the author has derived epoch-making fast algorithms that guarantees convergence, solves ICA and IVA using a framework of optimization called the auxiliary function method. The author has been working on better, on-line, low-latency algorithms, and recently realized a real-time blind source separation system. In this talk, the author will introduce these works. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | blind source separation / independent component analysis / independent vector analysis / auxiliary function method / real-time processing / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 118, no. 495, EA2018-133, pp. 203-203, March 2019. | |
| Paper # | EA2018-133 | |
| Date of Issue | 2019-03-07 (EA, SIP, SP) | |
| 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 | EA2018-133 SIP2018-139 SP2018-95 |
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| Conference Information | |
| Committee | EA SIP SP |
| Conference Date | 2019-03-14 - 2019-03-15 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | i+Land nagasaki (Nagasaki-shi) |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Engineering/Electro Acoustics, Signal Processing, Speech, and Related Topics |
| Paper Information | |
| Registration To | EA |
| Conference Code | 2019-03-EA-SIP-SP |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Realization of real-time blind source separation with auxiliary-function-based algorithms |
| Sub Title (in English) | |
| Keyword(1) | blind source separation |
| Keyword(2) | independent component analysis |
| Keyword(3) | independent vector analysis |
| Keyword(4) | auxiliary function method |
| Keyword(5) | real-time processing |
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| 1st Author's Name | Nobutaka Ono |
| 1st Author's Affiliation | Tokyo Metropolitan University (TMU) |
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| Speaker | Author-1 |
| Date Time | 2019-03-15 11:25:00 |
| Presentation Time | 50 minutes |
| Registration for | EA |
| Paper # | EA2018-133, SIP2018-139, SP2018-95 |
| Volume (vol) | vol.118 |
| Number (no) | no.495(EA), no.496(SIP), no.497(SP) |
| Page | p.203 |
| #Pages | 1 |
| Date of Issue | 2019-03-07 (EA, SIP, SP) |
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