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Paper Abstract and Keywords
Presentation 2017-06-02 11:10
Transient noise reduction using linear prediction and noise activity detection based on high order statistics
Yuto Yoneyama, Naoto Sasaoka, Yoshio Itoh (Tottori Univ.) SIS2017-15
Abstract (in Japanese) (See Japanese page) 
(in English) We proposed a noise reduction method for a wideband component in transient noise superposed on speech. This method reduces the wideband noise by Wiener filtering with noise present frame detection based on 4th order cumulant. However, it cannot eliminate the narrow band component in transient noise. In this paper, we propose a noise reduction method for not only wideband but also narrowband noise. The proposed method enhances speech in noisy speech by introducing least mean fourth (LMF) adaptive algorithm into a linear predictor. In addition, the noise reduction ability of the linear prediction is improved by the results of the noise present frame detection.
Keyword (in Japanese) (See Japanese page) 
(in English) Speech Enhancement / High Order Statistic / Transient Noise / Adaptive Signal Processing / / / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 70, SIS2017-15, pp. 77-82, June 2017.
Paper # SIS2017-15 
Date of Issue 2017-05-25 (SIS) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
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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 SIS  
Conference Date 2017-06-01 - 2017-06-02 
Place (in Japanese) (See Japanese page) 
Place (in English) Housen-Sou (Beppu) 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Smart Personal Systems, etc. 
Paper Information
Registration To SIS 
Conference Code 2017-06-SIS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Transient noise reduction using linear prediction and noise activity detection based on high order statistics 
Sub Title (in English)  
Keyword(1) Speech Enhancement  
Keyword(2) High Order Statistic  
Keyword(3) Transient Noise  
Keyword(4) Adaptive Signal Processing  
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1st Author's Name Yuto Yoneyama  
1st Author's Affiliation Tottori University (Tottori Univ.)
2nd Author's Name Naoto Sasaoka  
2nd Author's Affiliation Tottori University (Tottori Univ.)
3rd Author's Name Yoshio Itoh  
3rd Author's Affiliation Tottori University (Tottori Univ.)
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Speaker Author-1 
Date Time 2017-06-02 11:10:00 
Presentation Time 20 minutes 
Registration for SIS 
Paper # SIS2017-15 
Volume (vol) vol.117 
Number (no) no.70 
Page pp.77-82 
#Pages
Date of Issue 2017-05-25 (SIS) 


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