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Bousselmi Souha
Farhat Hached University
Computer Science & IT Electrical & Electronics Engineering

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Adaptive Speech Compression Based on Discrete Wave Atoms Transform Bousselmi Souha; Aloui Nouredine; Cherif Adnane
International Journal of Electrical and Computer Engineering (IJECE) Vol 6, No 5: October 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (262.185 KB) | DOI: 10.11591/ijece.v6i5.pp2150-2157

Abstract

This paper proposes a new adaptive speech compression system based on discrete wave atoms transform. First, the signal is decomposed on wave atoms, then wave atom coefficients are truncated using a new adaptive thresholding which depends on the SNR estimation. The thresholded coefficients are quantized using Max Lloyd scalar quantizer. Besides, they are encoded using zero run length encoding followed by Huffman coding. Numerous simulations are performed to prove the robustness of our approach. The results of current work are compared with wavelet based compression by using objective criteria, namely CR, SNR, PSNR and NRMSE. This study shows that the wave atoms transform is more appropriate than wavelets transform since it offers a higher compression ratio and a better speech quality.
Co-Authors Aloui Nouredine Cherif Adnane