Design of orthogonal filter banks using a multi-objective genetic algorithm for a speech coding scheme

Alexandria Engineering Journal

Nasreddine TALEB¹  Abdelkader BOUKHOBZA²  Abdennacer BOUNOUA³  Abdelmalik TALEB-AHMED⁴ 

[1] Corresponding author.;Department of Electronics, Hassiba Benbouali University, Chlef, 02000, Algeria;IEMN UMR CNRS 8520, UPHF, Valenciennes, France;RCAM Laboratory, Djillali Liabes University, Sidi Bel Abbes, 22000, Algeria;

关键词: Discrete wavelet transform;    Orthogonal filter banks;    Speech coding;    Optimized wavelet;    NSGAIII algorithm;   

DOI  :  

来源: DOAJ

【 摘 要 】

In this work, we propose an optimization scheme based on a multi-objective Genetic Algorithm (GA) for the design of orthogonal filter banks for speech compression. A parameterization is adopted to assure that the resulting filter banks satisfy perfect reconstruction and have at least two vanishing moments. We search for a parameter set that optimizes the coding gain and the frequency selectivity. As the objectives are conflicting, we investigate the solution that realizes the best compromise between the objectives criteria using the Non-dominated Sorting Genetic Algorithm (NSGAIII). Experimental results have shown that the optimized filter banks provide a significant gain in coding performances when comparing with the Daubechies orthogonal filter banks for test speech signals.

【 授权许可】

Unknown