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Single channel speech enhancement using Wiener filter and compressive sensing

Sulong, Amart and Gunawan, Teddy Surya and Khalifa, Othman Omran and Kartiwi, Mira and Dao, Hassan (2017) Single channel speech enhancement using Wiener filter and compressive sensing. International Journal of Electrical and Computer Engineering (IJECE), 7 (3). pp. 1941-1951. ISSN 2088-8708

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Abstract

The speech enhancement algorithms are utilized to overcome multiple limitation factors in recent applications such as mobile phone and communication channel. The challenges focus on corrupted speech solution between noise reduction and signal distortion. We used a modified Wiener filter and compressive sensing (CS) to investigate and evaluate the improvement of speech quality. This new method adapted noise estimation and Wiener filter gain function in which to increase weight amplitude spectrum and improve mitigation of interested signals. The CS is then applied using the gradient projection for sparse reconstruction (GPSR) technique as a study system to empirically investigate the interactive effects of the corrupted noise and obtain better perceptual improvement aspects to listener fatigue with noiseless reduction conditions. The proposed algorithm shows an enhancement in testing performance evaluation of objective assessment tests outperform compared to other conventional algorithms at various noise type conditions of 0, 5, 10, 15 dB SNRs. Therefore, the proposed algorithm significantly achieved the speech quality improvement and efficiently obtained higher performance resulting in better noise reduction compare to other conventional algorithms.

Item Type: Article (Journal)
Additional Information: 5588/57755
Uncontrolled Keywords: Speech enhancement; PESQ; Wiener filter; Compressive Sensing
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Kulliyyahs/Centres/Divisions/Institutes: Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Kulliyyah of Information and Communication Technology > Department of Information System
Kulliyyah of Information and Communication Technology > Department of Information System
Depositing User: Dr Teddy Surya Gunawan
Date Deposited: 27 Jul 2017 15:03
Last Modified: 04 Dec 2017 15:27
URI: http://irep.iium.edu.my/id/eprint/57755

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