Noureddine Aloui; Souha Bousselmi; Adnane Cherif

Optimized Speech Compression Algorithm Based on Wavelets Techniques and its Real Time Implementation on DSP

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Author(s)

Noureddine Aloui ^1,* Souha Bousselmi ¹ Adnane Cherif ¹

1. Sciences Faculty of Tunis, Innov’COM Laboratory, University of Tunis El-Manar, 2092, Tunisia

* Corresponding author.

DOI: https://doi.org/10.5815/ijitcs.2015.03.05

Received: 12 Jun. 2014 / Revised: 7 Oct. 2014 / Accepted: 4 Dec. 2014 / Published: 8 Feb. 2015

Index Terms

Speech Compression, Discrete Wavelet Transform, Voice Activity Detection, Hardware Implementation, Digital Signal Processor, RTW

Abstract

This paper presents an optimized speech compression algorithm using discrete wavelet transform, and its real time implementation on fixed-point digital signal processor (DSP). The optimized speech compression algorithm presents the advantages to ensure low complexity, low bit rate and achieve high speech coding efficiency, and this by adding a voice activity detector (VAD) module before the application of the discrete wavelet transform. The VAD module avoids the computation of the discrete wavelet coefficients during the inactive voice signal. In addition, a real-time implementation of the optimized speech compression algorithm is performed using fixed-point processor. The optimized and the original algorithms are evaluated and compared in terms of CPU time (sec), Cycle count (MCPS), Memory consumption (Ko), Compression Ratio (CR), Signal to Noise Ratio (SNR), Peak Signal to Noise Ratio (PSNR) and Normalized Root Mean Square Error (NRMSE).

Cite This Paper

Noureddine Aloui, Souha Bousselmi, Adnane Cherif, "Optimized Speech Compression Algorithm Based on Wavelets Techniques and its Real Time Implementation on DSP", International Journal of Information Technology and Computer Science(IJITCS), vol.7, no.3, pp.33-41, 2015. DOI:10.5815/ijitcs.2015.03.05

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International Journal of Information Technology and Computer Science (IJITCS)