Speech enhancement based on compressive sensing algorithm

Sulong, Amart and Gunawan, Teddy Surya and Khalifa, Othman Omran and Chebil , Jalel (2013) Speech enhancement based on compressive sensing algorithm. IOP Conference Series: Materials Science and EngineeringEmail alert RSS feed, 53. 012076. ISSN 1757-8981

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Abstract

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.

Item Type:	Article (Journal)
Additional Information:	5588/33618
Uncontrolled Keywords:	Compressive Sensing, PESQ, Speech Enhancement
Subjects:	T Technology > T Technology (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Depositing User:	Prof. Dr Othman O. Khalifa
Date Deposited:	07 Jan 2014 09:17
Last Modified:	26 Oct 2020 08:34
URI:	http://irep.iium.edu.my/id/eprint/33618

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