Speech enhancement based on wiener filter and compressive sensing

In the last few decades, many advanced technologies have been proposed, in which communications played a great role as well as telecommunications applications. The noise elimination in various environments became the most concerned as it greatly hindered the speech communication applications. The im...

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Main Authors:	Sulong, Amart, Gunawan, Teddy Surya, Khalifa, Othman Omran, Kartiwi, Mira, Ambikairajah, Eliathamby
Format:	Article
Language:	English English
Published:	Institute of Advanced Engineering and Science (IAES) 2016
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://irep.iium.edu.my/51469/ http://irep.iium.edu.my/51469/ http://irep.iium.edu.my/51469/ http://irep.iium.edu.my/51469/1/15_18Mei16_9854_AmartTelkomnika_V4submit.pdf http://irep.iium.edu.my/51469/4/51469_Speech%20enhancement%20based_Scopus.pdf

id	iium-51469
recordtype	eprints
spelling	iium-514692017-04-13T03:27:44Z http://irep.iium.edu.my/51469/ Speech enhancement based on wiener filter and compressive sensing Sulong, Amart Gunawan, Teddy Surya Khalifa, Othman Omran Kartiwi, Mira Ambikairajah, Eliathamby TK Electrical engineering. Electronics Nuclear engineering In the last few decades, many advanced technologies have been proposed, in which communications played a great role as well as telecommunications applications. The noise elimination in various environments became the most concerned as it greatly hindered the speech communication applications. The improvement of noisy speech interms of quality and intelligibility are taken into account without introducingany additional noise. Many speech enhancement algorithms have been proposed. Wiener filter is one of the classical algorithm that improve the noisy speech by reducing its noise components through selectively chosen Wiener gain. In this paper, compressive sensing method by randomize measurement matrix is combined with the Wiener filter to reduce the noisy speech signal to produce high signal to noise ratio. The PESQ is used to measure the quality of the proposed algorithm design. Experimental results showthe effectiveness of our proposed algorithm to enhance noisy signals corrupted by various noises compared to other traditional algorithms, in which high PESQ scores were achieved across various noises and different SNRs. Institute of Advanced Engineering and Science (IAES) 2016-05 Article PeerReviewed application/pdf en http://irep.iium.edu.my/51469/1/15_18Mei16_9854_AmartTelkomnika_V4submit.pdf application/pdf en http://irep.iium.edu.my/51469/4/51469_Speech%20enhancement%20based_Scopus.pdf Sulong, Amart and Gunawan, Teddy Surya and Khalifa, Othman Omran and Kartiwi, Mira and Ambikairajah, Eliathamby (2016) Speech enhancement based on wiener filter and compressive sensing. Indonesian Journal of Electrical Engineering and Computer Science, 2 (2). pp. 367-379. ISSN 2502-4752 E-ISSN 2502-4760 http://www.iaesjournal.com/online/index.php/TELKOMNIKA/article/view/9854 10.11591/ijeecs.v2.i2.pp367-379
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 Gunawan, Teddy Surya Khalifa, Othman Omran Kartiwi, Mira Ambikairajah, Eliathamby Speech enhancement based on wiener filter and compressive sensing
description	In the last few decades, many advanced technologies have been proposed, in which communications played a great role as well as telecommunications applications. The noise elimination in various environments became the most concerned as it greatly hindered the speech communication applications. The improvement of noisy speech interms of quality and intelligibility are taken into account without introducingany additional noise. Many speech enhancement algorithms have been proposed. Wiener filter is one of the classical algorithm that improve the noisy speech by reducing its noise components through selectively chosen Wiener gain. In this paper, compressive sensing method by randomize measurement matrix is combined with the Wiener filter to reduce the noisy speech signal to produce high signal to noise ratio. The PESQ is used to measure the quality of the proposed algorithm design. Experimental results showthe effectiveness of our proposed algorithm to enhance noisy signals corrupted by various noises compared to other traditional algorithms, in which high PESQ scores were achieved across various noises and different SNRs.
format	Article
author	Sulong, Amart Gunawan, Teddy Surya Khalifa, Othman Omran Kartiwi, Mira Ambikairajah, Eliathamby
author_facet	Sulong, Amart Gunawan, Teddy Surya Khalifa, Othman Omran Kartiwi, Mira Ambikairajah, Eliathamby
author_sort	Sulong, Amart
title	Speech enhancement based on wiener filter and compressive sensing
title_short	Speech enhancement based on wiener filter and compressive sensing
title_full	Speech enhancement based on wiener filter and compressive sensing
title_fullStr	Speech enhancement based on wiener filter and compressive sensing
title_full_unstemmed	Speech enhancement based on wiener filter and compressive sensing
title_sort	speech enhancement based on wiener filter and compressive sensing
publisher	Institute of Advanced Engineering and Science (IAES)
publishDate	2016
url	http://irep.iium.edu.my/51469/ http://irep.iium.edu.my/51469/ http://irep.iium.edu.my/51469/ http://irep.iium.edu.my/51469/1/15_18Mei16_9854_AmartTelkomnika_V4submit.pdf http://irep.iium.edu.my/51469/4/51469_Speech%20enhancement%20based_Scopus.pdf
first_indexed	2023-09-18T21:12:51Z
last_indexed	2023-09-18T21:12:51Z
_version_	1777411368231632896

Speech enhancement based on wiener filter and compressive sensing

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