Forward masking threshold estimation using neural networks and its application to parallel speech enhancement

Gunawan, Teddy Surya and Khalifa, Othman Omran and Ambikairajah, Eliathamby (2010) Forward masking threshold estimation using neural networks and its application to parallel speech enhancement. IIUM Engineering Journal, 11 (1). pp. 15-26. ISSN 1511-788X

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Abstract

Forward masking models have been used successfully in speech enhancement and audio coding. Presently, forward masking thresholds are estimated using simplified masking models which have been used for audio coding and speech enhancement applications. In this paper, an accurate approximation of forward masking threshold estimation using neural networks is proposed. A performance comparison to the other existing masking models in speech enhancement application is presented. Objective measures using PESQ demonstrates that our proposed forward masking model, provides significant improvements (5-15 %) over four existing models, when tested with speech signals corrupted by various noises at very low signal to noise ratios. Moreover, a parallel implementation of the speech enhancement algorithm was developed using Matlab parallel computing toolbox.

Item Type:	Article (Journal)
Additional Information:	5588/2318
Uncontrolled Keywords:	Human auditory system, forward masking, speech enhancement, PESQ, parallel algorithm
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering
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. Teddy Surya Gunawan
Date Deposited:	16 Sep 2011 07:56
Last Modified:	13 Jun 2017 11:58
URI:	http://irep.iium.edu.my/id/eprint/2318

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