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

Autor: Boukhobza, Abdelkader, Taleb, Nasreddine, Taleb-Ahmed, Abdelmalik, Bounoua, Abdennacer
Přispěvatelé: Université Hassiba Ben Bouali de Chlef (UHBC), Université Djilali Liabès [Sidi-Bel-Abbès], Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA), Université catholique de Lille (UCL)-Université catholique de Lille (UCL), COMmunications NUMériques - IEMN (COMNUM - IEMN), INSA Institut National des Sciences Appliquées Hauts-de-France (INSA Hauts-De-France), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN), Université catholique de Lille (UCL)-Université catholique de Lille (UCL)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA), The research being reported in this publication was supported by the Algerian Directorate General for Scientific Research and Technological Development (DGRSDT).
Rok vydání: 2022
Předmět:
Zdroj: Alexandria Engineering Journal, Vol 61, Iss 10, Pp 7649-7657 (2022)
Alexandria Engineering Journal
Alexandria Engineering Journal, 2022, 61 (10), pp.7649-7657. ⟨10.1016/j.aej.2022.01.017⟩
ISSN: 1110-0168
DOI: 10.1016/j.aej.2022.01.017
Popis: International audience; 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.
Databáze: OpenAIRE