Towards An Objective Comparison of Feature Extraction Techniques for Automatic Speaker Recognition Systems

Ayoub BOUZIANE, Jamal KHARROUBI, Arsalane ZARGHILI

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 overcome the limitation of the previous studies.

Keywords


Automatic Speaker Recognition; Biometrics; Speaker Features; GFCCs; MFCCs


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