Improvement of wiener filter based speech enhancement using compressive sensing

Many researches have been addressed on design approach for speech enhancement. They are mainly focus on speech quality and intelligibility to produce high performance level of speech signal. Wiener filter is one of the adaptive filter algorithm to adjust filter coefficients and produce an output sig...

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Main Authors:	Sulong, Amart, Abdul Kadir, Kushsairy, Gunawan, Teddy Surya, Khalifa, Othman Omran
Format:	Conference or Workshop Item
Language:	English English
Published:	2014
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://irep.iium.edu.my/40302/ http://irep.iium.edu.my/40302/ http://irep.iium.edu.my/40302/1/40302.pdf http://irep.iium.edu.my/40302/4/40302_Improvement%20of%20wiener%20filter%20based%20speech%20enhancement_Scopus.pdf

id	iium-40302
recordtype	eprints
spelling	iium-403022017-09-23T03:13:03Z http://irep.iium.edu.my/40302/ Improvement of wiener filter based speech enhancement using compressive sensing Sulong, Amart Abdul Kadir, Kushsairy Gunawan, Teddy Surya Khalifa, Othman Omran TK Electrical engineering. Electronics Nuclear engineering Many researches have been addressed on design approach for speech enhancement. They are mainly focus on speech quality and intelligibility to produce high performance level of speech signal. Wiener filter is one of the adaptive filter algorithm to adjust filter coefficients and produce an output signal that satisfies some statistical criterion. The objective measure will optimize using informal listening test and Perceptual Evaluation of Speech Quality (PESQ). The cascaded design approach of the Wiener filter and compressive sensing (CS) algorithm with random matrices were applied to exhibit and produce the better results. Therefore, applying the speech signal to this algorithm design in terms of appropriate basis functions of relatively few nonzero coefficients in CS can achieve an optimal estimate of uncorrelated components of noisy speech without obvious degradation of speech quality. Aside from that, this algorithm can be promised the speech enhancement with high performance results and significantly improved comparing to classical methods. 2014-11-25 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/40302/1/40302.pdf application/pdf en http://irep.iium.edu.my/40302/4/40302_Improvement%20of%20wiener%20filter%20based%20speech%20enhancement_Scopus.pdf Sulong, Amart and Abdul Kadir, Kushsairy and Gunawan, Teddy Surya and Khalifa, Othman Omran (2014) Improvement of wiener filter based speech enhancement using compressive sensing. In: IEEE International Conference on Smart Instrumentation, Measurement and Applications (ICSIMA 2014), 25-27 Nov 2014, Kuala Lumpur. http://www.ieeeexplore.us/xpl/articleDetails.jsp?tp=&arnumber=7047442&queryText%3DImprovement+of+Wiener+Filter+based+Speech
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Sulong, Amart Abdul Kadir, Kushsairy Gunawan, Teddy Surya Khalifa, Othman Omran Improvement of wiener filter based speech enhancement using compressive sensing
description	Many researches have been addressed on design approach for speech enhancement. They are mainly focus on speech quality and intelligibility to produce high performance level of speech signal. Wiener filter is one of the adaptive filter algorithm to adjust filter coefficients and produce an output signal that satisfies some statistical criterion. The objective measure will optimize using informal listening test and Perceptual Evaluation of Speech Quality (PESQ). The cascaded design approach of the Wiener filter and compressive sensing (CS) algorithm with random matrices were applied to exhibit and produce the better results. Therefore, applying the speech signal to this algorithm design in terms of appropriate basis functions of relatively few nonzero coefficients in CS can achieve an optimal estimate of uncorrelated components of noisy speech without obvious degradation of speech quality. Aside from that, this algorithm can be promised the speech enhancement with high performance results and significantly improved comparing to classical methods.
format	Conference or Workshop Item
author	Sulong, Amart Abdul Kadir, Kushsairy Gunawan, Teddy Surya Khalifa, Othman Omran
author_facet	Sulong, Amart Abdul Kadir, Kushsairy Gunawan, Teddy Surya Khalifa, Othman Omran
author_sort	Sulong, Amart
title	Improvement of wiener filter based speech enhancement using compressive sensing
title_short	Improvement of wiener filter based speech enhancement using compressive sensing
title_full	Improvement of wiener filter based speech enhancement using compressive sensing
title_fullStr	Improvement of wiener filter based speech enhancement using compressive sensing
title_full_unstemmed	Improvement of wiener filter based speech enhancement using compressive sensing
title_sort	improvement of wiener filter based speech enhancement using compressive sensing
publishDate	2014
url	http://irep.iium.edu.my/40302/ http://irep.iium.edu.my/40302/ http://irep.iium.edu.my/40302/1/40302.pdf http://irep.iium.edu.my/40302/4/40302_Improvement%20of%20wiener%20filter%20based%20speech%20enhancement_Scopus.pdf
first_indexed	2023-09-18T20:57:48Z
last_indexed	2023-09-18T20:57:48Z
_version_	1777410421645377536

Improvement of wiener filter based speech enhancement using compressive sensing

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