Information: Join today and make your research activities more affordable! Technical workshop participation fees and annual registration fees are available at member rates.
Notice: [Important] Announcement of Changes to Registration Fee Payment and Manuscript Upload Procedures for IEICE Technical Meetings
IEICE Technical Committee Submission System
Conference Paper's Information		 Online Proceedings
[Sign in]
Tech. Rep. Archives
 Go Top Page Go Previous   [Japanese] / [English] 

Paper Abstract and Keywords
Presentation 2007-09-28 14:50
[Special Talk] Blind source separation using single-input-muｌtiple-output-model-based independent component analysis and its application
Tomoya Takatani (Toyota Motor Co.) EA2007-58
Abstract (in Japanese) (See Japanese page) 
(in English) Blind source separation (BSS) technique using independent component analysis (ICA) for acoustic signals has been developed over the last decade. This technique assumes that the source signals are mutually independent, and can estimate the source signals from the mixed signals
without a priori information. Thus, this technique is highly applicable in hands-free acoustic speech recognition system for car navigation and partner robot, and high-quality hands-free telecommunication system.
The conventional ICA-based BSS method is a means of extracting the independent sound source signals as the monaural signals from the mixed signals observed in each input channel, and the separated signals include arbitrary spectral distortions. However, they are basically means of extracting each of the independent sound sourcesas a monaural signal, consequently, they have a serious drawback in that the separated sounds cannot maintain information about the directivity, localization, reverberation, or spatial qualities of each sound source. They also need large amounts of computations to optimize the separation filter. These problems prevent any BSS methods from being applied to binaural signal processing, high-fidelity sound reproduction system, or cascading the array signal processing after ICA. In this paper, to solve the above-mentioned fundamental problem, we propose a novel ICA algorithm, single-input multiple-output (SIMO)-model-base ICA and introduce its application method.
Keyword (in Japanese) (See Japanese page) 
(in English) blind source separation / independent component analysis / SIMO model / / / / /  
Reference Info. IEICE Tech. Rep., vol. 107, no. 240, EA2007-58, pp. 19-24, Sept. 2007.
Paper # EA2007-58 
Date of Issue 2007-09-21 (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 EA2007-58

Conference Information
Committee EA  
Conference Date 2007-09-28 - 2007-09-28 
Place (in Japanese) (See Japanese page) 
Place (in English) Nara Institute of Science and Technology 
Topics (in Japanese) (See Japanese page) 
Topics (in English) General 
Paper Information
Registration To EA 
Conference Code 2007-09-EA 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Blind source separation using single-input-muｌtiple-output-model-based independent component analysis and its application 
Sub Title (in English)  
Keyword(1) blind source separation  
Keyword(2) independent component analysis  
Keyword(3) SIMO model  
Keyword(4)  
Keyword(5)  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Tomoya Takatani  
1st Author's Affiliation Toyota Motor Corporation (Toyota Motor Co.)
2nd Author's Name  
2nd Author's Affiliation ()
3rd Author's Name  
3rd Author's Affiliation ()
4th Author's Name  
4th Author's Affiliation ()
5th Author's Name  
5th Author's Affiliation ()
6th Author's Name  
6th Author's Affiliation ()
7th Author's Name  
7th Author's Affiliation ()
8th Author's Name  
8th Author's Affiliation ()
9th Author's Name  
9th Author's Affiliation ()
10th Author's Name  
10th Author's Affiliation ()
11th Author's Name  
11th Author's Affiliation ()
12th Author's Name  
12th Author's Affiliation ()
13th Author's Name  
13th Author's Affiliation ()
14th Author's Name  
14th Author's Affiliation ()
15th Author's Name  
15th Author's Affiliation ()
16th Author's Name  
16th Author's Affiliation ()
17th Author's Name  
17th Author's Affiliation ()
18th Author's Name  
18th Author's Affiliation ()
19th Author's Name  
19th Author's Affiliation ()
20th Author's Name  
20th Author's Affiliation ()
21st Author's Name  
21st Author's Affiliation ()
22nd Author's Name  
22nd Author's Affiliation ()
23rd Author's Name  
23rd Author's Affiliation ()
24th Author's Name  
24th Author's Affiliation ()
25th Author's Name  
25th Author's Affiliation ()
26th Author's Name / /
26th Author's Affiliation ()
()
27th Author's Name / /
27th Author's Affiliation ()
()
28th Author's Name / /
28th Author's Affiliation ()
()
29th Author's Name / /
29th Author's Affiliation ()
()
30th Author's Name / /
30th Author's Affiliation ()
()
31st Author's Name / /
31st Author's Affiliation ()
()
32nd Author's Name / /
32nd Author's Affiliation ()
()
33rd Author's Name / /
33rd Author's Affiliation ()
()
34th Author's Name / /
34th Author's Affiliation ()
()
35th Author's Name / /
35th Author's Affiliation ()
()
36th Author's Name / /
36th Author's Affiliation ()
()
Speaker Author-1 
Date Time 2007-09-28 14:50:00 
Presentation Time 45 minutes 
Registration for EA 
Paper # EA2007-58 
Volume (vol) vol.107 
Number (no) no.240 
Page pp.19-24 
#Pages 6 
Date of Issue 2007-09-21 (EA) 

[Return to Top Page]

[Return to IEICE Web Page]
The Institute of Electronics, Information and Communication Engineers (IEICE), Japan