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Speech enhancement in non-stationary noise using compressive sensing

Sulong, Amart and Gunawan, Teddy Surya and Khalifa, Othman Omran and Kartiwi, Mira (2016) Speech enhancement in non-stationary noise using compressive sensing. In: 6th International Conference on Computer and Communication Engineering (ICCCE 2016), 25th-27th July 2016, Kuala Lumpur.

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Abstract

This paper addresses the problem of single channel speech enhancement algorithm in non-stationary noise environment which is rather difficult compared to the stationary noise. We proposed a new speech enhancement algorithm based on compressive sensing. First, the noise average estimation and Wiener filter gain are calculated. Compressive sensing using GPSR technique is then incorporated by randomly selected the sparse signal of unconstrained problem with suitable basis and reconstruct the noiseless distortion to the enhanced speech. The performance is evaluated using PESQ score improvement. Our proposed algorithm shows better performance compared to other traditional algorithms across two non-stationary noises at various SNRs. On average, the PESQ improvement was 19.14% and 7.12% for exhibition and restaurant noises, respectively.

Item Type: Conference or Workshop Item (Plenary Papers)
Additional Information: 5588/52423
Uncontrolled Keywords: single-channel speech enhancement; compressive sensing; objective measure; PESQ score
Subjects: T Technology > T Technology (General)
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: Prof. Dr Othman O. Khalifa
Date Deposited: 25 Oct 2016 16:00
Last Modified: 27 Dec 2017 09:40
URI: http://irep.iium.edu.my/id/eprint/52423

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