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Journal of Emerging Trends in Computing and Information Sciences >> Call for Papers Vol. 8 No. 3, March 2017

Journal of Emerging Trends in Computing and Information Sciences

De-noising Speech Signal Using Composite Wavelets and Grazing Estimation Methods

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Author Mohammed Anwer, Nashid Kalam, Rezwan al-Islam Khan
ISSN 2079-8407
On Pages 827-831
Volume No. 4
Issue No. 11
Issue Date December 01, 2013
Publishing Date December 01, 2013
Keywords Speech processing, denoising, Daubechies wavelets, grazing estimation, signal processing.


Abstract

The traditional audio de-noising technique using Daubechies wavelet is improved by using a preprocessor using statistical grazing estimation. ‘Noisy’ signals were synthetically generated by introducing ‘noise’ to a ‘clean’ signal. The signal was sampled at 8 kHz and digitized at 16 bits per second. The noise from the audio signal was removed in the first step using statistical grazing estimation with specified threshold level. In the second step Daubechies-D4 wavelet transform was used to remove the noise further. The results were compared with results obtained with grazing estimation only, Daubechies-D4 wavelet transformation and Haar wavelet transformations separately. The results show that the composite denoising technique results in consistently better signal-to-noise ratio than any other technique.
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