Speech enhancement based on compressive sensing algorithm

There are various methods, in performance of speech enhancement, have been proposed over the years. The accurate method for the speech enhancement design mainly focuses on quality and intelligibility. The method proposed with high performance level. A novel speech enhancement by using compressive se...

Full description

Bibliographic Details
Main Authors:	Sulong, Amart, Gunawan, Teddy Surya, Khalifa, Othman Omran, Chebil, Jalel
Format:	Conference or Workshop Item
Language:	English English
Published:	2013
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://irep.iium.edu.my/32413/ http://irep.iium.edu.my/32413/ http://irep.iium.edu.my/32413/1/Amart_Compressive_Sensing_camera_ready.pdf http://irep.iium.edu.my/32413/4/teddy.pdf

id	iium-32413
recordtype	eprints
spelling	iium-324132013-12-24T01:59:15Z http://irep.iium.edu.my/32413/ Speech enhancement based on compressive sensing algorithm Sulong, Amart Gunawan, Teddy Surya Khalifa, Othman Omran Chebil, Jalel TK Electrical engineering. Electronics Nuclear engineering There are various methods, in performance of speech enhancement, have been proposed over the years. The accurate method for the speech enhancement design mainly focuses on quality and intelligibility. The method proposed with high performance level. A novel speech enhancement by using compressive sensing (CS) is a new paradigm of acquiring signals, fundamentally different from uniform rate digitization followed by compression, often used for transmission or storage. Using CS can reduce the number of degrees of freedom of a sparse/compressible signal by permitting only certain configurations of the large and zero/small coefficients, and structured sparsity models. Therefore, CS is significantly provides a way of reconstructing a compressed version of the speech in the original signal by taking only a small amount of linear and non-adaptive measurement. The performance of overall algorithms will be evaluated based on the speech quality by optimise using informal listening test and Perceptual Evaluation of Speech Quality (PESQ). Experimental results show that the CS algorithm perform very well in a wide range of speech test and being significantly given good performance for speech enhancement method with better noise suppression ability over conventional approaches without obvious degradation of speech quality. 2013 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/32413/1/Amart_Compressive_Sensing_camera_ready.pdf application/pdf en http://irep.iium.edu.my/32413/4/teddy.pdf Sulong, Amart and Gunawan, Teddy Surya and Khalifa, Othman Omran and Chebil, Jalel (2013) Speech enhancement based on compressive sensing algorithm. In: International Conference on Mechatronics (ICOM'03), 2-4 July 2013, Berjaya Times Square Hotel, Kuala Lumpur. (Unpublished) http://www.iium.edu.my/icom2013/13/
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 Chebil, Jalel Speech enhancement based on compressive sensing algorithm
description	There are various methods, in performance of speech enhancement, have been proposed over the years. The accurate method for the speech enhancement design mainly focuses on quality and intelligibility. The method proposed with high performance level. A novel speech enhancement by using compressive sensing (CS) is a new paradigm of acquiring signals, fundamentally different from uniform rate digitization followed by compression, often used for transmission or storage. Using CS can reduce the number of degrees of freedom of a sparse/compressible signal by permitting only certain configurations of the large and zero/small coefficients, and structured sparsity models. Therefore, CS is significantly provides a way of reconstructing a compressed version of the speech in the original signal by taking only a small amount of linear and non-adaptive measurement. The performance of overall algorithms will be evaluated based on the speech quality by optimise using informal listening test and Perceptual Evaluation of Speech Quality (PESQ). Experimental results show that the CS algorithm perform very well in a wide range of speech test and being significantly given good performance for speech enhancement method with better noise suppression ability over conventional approaches without obvious degradation of speech quality.
format	Conference or Workshop Item
author	Sulong, Amart Gunawan, Teddy Surya Khalifa, Othman Omran Chebil, Jalel
author_facet	Sulong, Amart Gunawan, Teddy Surya Khalifa, Othman Omran Chebil, Jalel
author_sort	Sulong, Amart
title	Speech enhancement based on compressive sensing algorithm
title_short	Speech enhancement based on compressive sensing algorithm
title_full	Speech enhancement based on compressive sensing algorithm
title_fullStr	Speech enhancement based on compressive sensing algorithm
title_full_unstemmed	Speech enhancement based on compressive sensing algorithm
title_sort	speech enhancement based on compressive sensing algorithm
publishDate	2013
url	http://irep.iium.edu.my/32413/ http://irep.iium.edu.my/32413/ http://irep.iium.edu.my/32413/1/Amart_Compressive_Sensing_camera_ready.pdf http://irep.iium.edu.my/32413/4/teddy.pdf
first_indexed	2023-09-18T20:46:47Z
last_indexed	2023-09-18T20:46:47Z
_version_	1777409728085753856

Speech enhancement based on compressive sensing algorithm

Similar Items