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Paper Abstract and Keywords
Presentation 2008-12-10 16:10
Sudden noise reduction using dynamic speech feature model
Nobuyuki Miyake, Tetsuya Takiguchi, Yasuo Ariki (Kobe Univ.) NLC2008-56 SP2008-111
Abstract (in Japanese) (See Japanese page) 
(in English) This paper describes a method for reducing sudden noise using a static and dynamic speech feature model. We have propoesed a method for reducing these noises using static feature model after the noisy frame is detected and what noise overlapped is classfied. But, the previous method has a problem that the noise reduction is not peroformed if the frame is not determined as noisy one although the frame has a noise. In this paper, we propose a noise reduction method using a dynamic feature model and last frame data in order to deal with such noisy frames. In our experiments, the proposed method achieved better performance for recognition of utterances overlapped by sudden noises than the previous method.
Keyword (in Japanese) (See Japanese page) 
(in English) model-based noise reduction / dynamic feature model / sudden noise / speech recognition / / / /  
Reference Info. IEICE Tech. Rep., vol. 108, no. 338, SP2008-111, pp. 191-196, Dec. 2008.
Paper # SP2008-111 
Date of Issue 2008-12-02 (NLC, 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 NLC2008-56 SP2008-111

Conference Information
Committee SP NLC  
Conference Date 2008-12-09 - 2008-12-10 
Place (in Japanese) (See Japanese page) 
Place (in English) Waseda Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To SP 
Conference Code 2008-12-SP-NLC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Sudden noise reduction using dynamic speech feature model 
Sub Title (in English)  
Keyword(1) model-based noise reduction  
Keyword(2) dynamic feature model  
Keyword(3) sudden noise  
Keyword(4) speech recognition  
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1st Author's Name Nobuyuki Miyake  
1st Author's Affiliation Kobe Universiy (Kobe Univ.)
2nd Author's Name Tetsuya Takiguchi  
2nd Author's Affiliation Kobe Universiy (Kobe Univ.)
3rd Author's Name Yasuo Ariki  
3rd Author's Affiliation Kobe Universiy (Kobe Univ.)
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Speaker Author-1 
Date Time 2008-12-10 16:10:00 
Presentation Time 110 minutes 
Registration for SP 
Paper # NLC2008-56, SP2008-111 
Volume (vol) vol.108 
Number (no) no.337(NLC), no.338(SP) 
Page pp.191-196 
#Pages 6 
Date of Issue 2008-12-02 (NLC, SP) 

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