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Read the articleAUTHORS
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Nidhal BEN ALOUI
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Hervé GLOTIN
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Patrick HEBRARD
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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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Qualitative parameterization of time-frequency features for speaker recognition
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