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Inverse Gabor transform for speech enhancement

journal contribution
posted on 2023-06-09, 09:36 authored by A Al-Miane Mohammed, William WangWilliam Wang
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.

History

Publication status

  • Published

File Version

  • Published version

Journal

Acoustics Australia

ISSN

0814-6039

Publisher

Springer

Issue

3

Volume

41

Page range

225-230

Department affiliated with

  • Engineering and Design Publications

Research groups affiliated with

  • Dynamics, Control and Vehicle Research Group Publications

Full text available

  • No

Peer reviewed?

  • Yes

Legacy Posted Date

2018-01-04

First Compliant Deposit (FCD) Date

2018-01-03

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