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: Proceeding Paper
Language:English
English
Published: 2014
Subjects:
Online Access: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
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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
building IIUM Repository
collection Online Access
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.
first_indexed 2025-11-14T15:57:22Z
format Proceeding Paper
id iium-40302
institution International Islamic University Malaysia
institution_category Local University
language English
English
last_indexed 2025-11-14T15:57:22Z
publishDate 2014
recordtype eprints
repository_type Digital Repository
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 Proceeding Paper 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
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
title 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_short Improvement of wiener filter based speech enhancement using compressive sensing
title_sort improvement of wiener filter based speech enhancement using compressive sensing
topic TK Electrical engineering. Electronics Nuclear engineering
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