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Paper Abstract and Keywords
Presentation 2017-02-18 14:15
Accurate Speech Enhancement Method using Compressive Sensing with Variable Sparse Level
Yusuke Zaitsu, Koichi Ichige (YNU)
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, we propose an accurate speech enhancement method using Compressive Sensing with Variable Sparse Level. Compressive sensing (CS)-based methods can efficiently enhance speech signal quality but they often require a noise level in advance of speech enhancement processing. We try to estimate the noise level from a given input signal, and introduce some threshold levels for input amplitudes so that speech components are effectively enhanced. Performance of the proposed method is evaluated through computer simulation.
Keyword (in Japanese) (See Japanese page) 
(in English) Speech Enhancement / Compressive Sensing / Sparse Level / CoSaMP-SE / / / /  
Reference Info. ITE Tech. Rep., vol. 41, no. 4, ME2017-22, pp. 81-84, Feb. 2017.
Paper # ME2017-22 
Date of Issue 2017-02-11 (ME) 
ISSN Print edition: ISSN 1342-6893    Online edition: ISSN 2424-1970
Notes on Review This article is a technical report without peer review, and its polished version will be published elsewhere.
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Conference Information
Committee ME  
Conference Date 2017-02-18 - 2017-02-18 
Place (in Japanese) (See Japanese page) 
Place (in English) Kanto Gakuin Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To ME 
Conference Code 2017-02-ME 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Accurate Speech Enhancement Method using Compressive Sensing with Variable Sparse Level 
Sub Title (in English)  
Keyword(1) Speech Enhancement  
Keyword(2) Compressive Sensing  
Keyword(3) Sparse Level  
Keyword(4) CoSaMP-SE  
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1st Author's Name Yusuke Zaitsu  
1st Author's Affiliation Yokohama National University (YNU)
2nd Author's Name Koichi Ichige  
2nd Author's Affiliation Yokohama National University (YNU)
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Speaker Author-1 
Date Time 2017-02-18 14:15:00 
Presentation Time 15 minutes 
Registration for ME 
Paper # ME2017-22 
Volume (vol) vol.41 
Number (no) no.4 
Page pp.81-84 
#Pages
Date of Issue 2017-02-11 (ME) 


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