Mohammed, A Al-Miane and Wang, William J (2013) Inverse Gabor transform for speech enhancement. Acoustics Australia, 41 (3). pp. 225-230. ISSN 0814-6039

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Abstract

In this paper, the Inverse Discrete Gabor Transform (IDGT) is proposed for signal recovery buried in board-band nonstationary noise. Time-frequency masking filtering technique is implemented to reject the noise from corrupted speech while at the same time maintaining the desired waveform. A synthetic multicomponent non-stationary test signal made up of two chirps was first used to simulate noise; the signals were then separated using this technique. Four English speech signals recorded in different environments such as airport, restaurant, and train buried in wide-band noise were reconstructed. The extracted signals were then compared with the original ones in terms of cleanness and noise removal. The implemented procedure is suitable for this type of wide-band non-stationary interference, which cannot be canceled in the Fourier (frequency) or time domain.

Item Type:	Article
Schools and Departments:	School of Engineering and Informatics > Engineering and Design
Research Centres and Groups:	Dynamics, Control and Vehicle Research Group
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering
Depositing User:	William Wang
Date Deposited:	04 Jan 2018 10:18
Last Modified:	04 Jan 2018 10:18
URI:	http://srodev.sussex.ac.uk/id/eprint/72593

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