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Paper Abstract and Keywords
Presentation 2008-03-20 15:15
[Poster Presentation] Robust noise suppression algorithm using the only Kalman filter theory for white and colored noises
Nari Tanabe (Tokyo Univ. of Science, Suwa), Toshihiro Furukawa (Tokyo Univ. of Science), Shigeo Tsujii (Inst. of Information Security) SP2007-195
Abstract (in Japanese) (See Japanese page) 
(in English) This paper presents a noise suppression algorithm using only the Kalman filter theory with canonical state space models: (i) a state equation is composed of the speech signal, and (ii) an observation equation is composed of the speech signal and additive noise. The algorithm aims to achieve simple and robust noise suppression without the conception of the AR (autoregressive) system, while many conventional methods based on the Kalman filter usually performs the parameter estimation algorithm of AR system and then the Kalman filter algorithm. It should be noted that driving source is a colored signal (speech signal) in the proposed canonical state space models. As is known well, on the other hand, the Kalman filter theory is usually applied to the model in which the driving source is white signal. Therefore, in case that the Kalman filter theory is applied to the proposed canonical state space model, we must examine the effect that the colored driving source has on the estimation accuracy of the state variables. But, unfortunately, it is very difficult to analyze the effect of colored driving source to the estimation accuracy of the state theoretically as is described later in detail. This paper shows, by some numerical simulations, that the Kalman filter algorithm applied to the proposed canonical state space models functions well.
Keyword (in Japanese) (See Japanese page) 
(in English) robust noise suppression / Kalman filter theory / canonical space state models / state equation / observation equation / white and colored noises / color driving source / high performance and quality  
Reference Info. IEICE Tech. Rep., vol. 107, no. 551, SP2007-195, pp. 51-56, March 2008.
Paper # SP2007-195 
Date of Issue 2008-03-13 (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)
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Conference Information
Committee SP  
Conference Date 2008-03-20 - 2008-03-21 
Place (in Japanese) (See Japanese page) 
Place (in English) Univ. Tokyo 
Topics (in Japanese) (See Japanese page) 
Topics (in English) International Workshop (Mar 20), Speech Production, Speech Perception, Hearing and Speech, etc. (Mar 21) 
Paper Information
Registration To SP 
Conference Code 2008-03-SP 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Robust noise suppression algorithm using the only Kalman filter theory for white and colored noises 
Sub Title (in English)  
Keyword(1) robust noise suppression  
Keyword(2) Kalman filter theory  
Keyword(3) canonical space state models  
Keyword(4) state equation  
Keyword(5) observation equation  
Keyword(6) white and colored noises  
Keyword(7) color driving source  
Keyword(8) high performance and quality  
1st Author's Name Nari Tanabe  
1st Author's Affiliation Tokyo University of Science, Suwa (Tokyo Univ. of Science, Suwa)
2nd Author's Name Toshihiro Furukawa  
2nd Author's Affiliation Tokyo University of Science (Tokyo Univ. of Science)
3rd Author's Name Shigeo Tsujii  
3rd Author's Affiliation Institute of Information Security (Inst. of Information Security)
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Speaker Author-1 
Date Time 2008-03-20 15:15:00 
Presentation Time 90 minutes 
Registration for SP 
Paper # SP2007-195 
Volume (vol) vol.107 
Number (no) no.551 
Page pp.51-56 
#Pages 6 
Date of Issue 2008-03-13 (SP) 

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