Authors: Javaid A. Sheikh; Shabir A. Parah; Sakeena Akhtar; G. Mohiuddin Bhat
Addresses: Department of Electronics, University of Kashmir, Srinagar, India ' Department of Electronics, University of Kashmir, Srinagar, India ' Department of Electronics, University of Kashmir, Srinagar, India ' Department of Electronics, University of Kashmir, Srinagar, India
Abstract: Over the past few years there has been much work done on compression and enhancement of speech signals. Efficient speech compression techniques are becoming hectic with the fast growth of data and multimedia services. In this paper, wavelet-based analysis, processing and compression of multimedia signals like speech are described and implemented. A wavelet-based speech compression and speech denoising techniques obtained by using hard and soft thresholding algorithm are presented. Daubechies wavelets have been implemented on a test recorded speech signal for compression and denoising purposes. It has been found that the proposed work shows better results as compared to the already existing technique. Moreover, soft thresholding is preferable over hard thresholding with higher PSNR and less MSE. The results obtained have been found satisfactory as compared to existing state-of-the-art techniques.
Keywords: speech compression; denoising; Haar wavelet; Daubechies wavelets; soft thresholding; hard thresholding; filtering.
International Journal of Wireless and Mobile Computing, 2017 Vol.12 No.4, pp.313 - 334
Received: 16 May 2016
Accepted: 12 Feb 2017
Published online: 25 Jul 2017 *