Qualitative parameterization of time-frequency features for speaker recognition
Article REF: RE97 V1

Qualitative parameterization of time-frequency features for speaker recognition

Authors : Nidhal BEN ALOUI, Hervé GLOTIN, Patrick HEBRARD, Odile PAPINI

Publication date: February 10, 2009 | Lire en français

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AUTHORS

  • Nidhal BEN ALOUI

  • Hervé GLOTIN

  • Patrick HEBRARD

  • Odile PAPINI

 INTRODUCTION

Following on from work carried out in the field of anthropometry, biometrics is a modern technique that responds to an age-old concern to prove a person's identity indisputably by using their physical or behavioral characteristics. In this paper, we propose to study a new approach to automatic speaker recognition (ASR). Our method consists in recognizing a person based on a number of parameters, extracted from the voice signal emitted by the person, and originally represented in a qualitative way, unlike state-of-the-art parameterizations.

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