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Ayoub Bouziane
University Sidi Mohamed Ben Abdellah
Electrical & Electronics Engineering

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Journal : Bulletin of Electrical Engineering and Informatics

 1 
Towards an objective comparison of feature extraction techniques for automatic speaker recognition systems Ayoub Bouziane; Jamal Kharroubi; Arsalane Zarghili
Bulletin of Electrical Engineering and Informatics Vol 10, No 1: February 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v10i1.1782

Abstract

A common limitation of the previous comparative studies on speaker-features extraction techniques lies in the fact that the comparison is done independently of the used speaker modeling technique and its parameters. The aim of the present paper is twofold. Firstly, it aims to review the most significant advancements in feature extraction techniques used for automatic speaker recognition. Secondly, it seeks to evaluate and compare the currently dominant ones using an objective comparison methodology that overcomes the various limitations and drawbacks of the previous comparative studies. The results of the carried out experiments underlines the importance of the proposed comparison methodology. 
Co-Authors Arsalane Zarghili Jamal Kharroubi