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Bio-inspired System in Automatic Speaker Recognition

  • Lina Rosique–López
  • Vicente Garcerán–Hernández
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6687)

Abstract

Automatic speaker recognition determines whether a person is who he/she claims to be without the intervention of another human being, from their voiceprint. In recent years different methods of voice analysis to fulfill this objective have been developed. At the moment, the development of computational auditory models that emulate the physiology and function of the inner ear have added a new tool in the field of speaker recognition, including the Triple Resonance Nonlinear filter. This paper studies the behavior of a bio-inspired model of inner ear applied to the speakers’s voice analysis. Their ability on speaker recognition tasks was statistically analyzed. We conclude, given the results obtained, that this system is an excellent tool, which shows a high rate of sensitivity and specificity in speaker recognition.

Keywords

Hair Cell Basilar Membrane Speaker Recognition Triple Resonance Voice Signal 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Lina Rosique–López
    • 1
  • Vicente Garcerán–Hernández
    • 2
  1. 1.Hospital Rafael MendezLorcaEspaña
  2. 2.Universidad Politécnica de CartagenaCartagenaEspaña

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