A Method of Automatic Speaker Recognition Using Cepstral Features and Vectorial Quantization

  • José Ramón Calvo de Lara
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3773)

Abstract

Automatic Speaker Recognition techniques are increasing the use of the speaker’s voice to control access to personalized telephonic services. This paper describes the use of vector quantization as a feature matching method, in an automatic speaker recognition system, evaluated with speech samples from a SALA Spanish Venezuelan database for fixed telephone network. Results obtained reflect a good performance of the method in a text independent job in the context of sequences of digits.

Keywords

Speaker Recognition Speaker Verification Speaker Identification Acoustic Vector Cepstral Feature 
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 2005

Authors and Affiliations

  • José Ramón Calvo de Lara
    • 1
  1. 1.Advanced Technologies Application Center, CENATAVCuba

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