A Hybrid Parameterization Technique for Speaker Identification

Gómez Vilda, Pedro and Álvarez Marquina, Agustin and Mazaira Fernández, Luis Miguel and Fernández-Baillo Gallego de la Sacristana, Roberto and Nieto Lluis, Victor and Martínez Olalla, Rafael and Muñoz, Cristina and Rodellar Biarge, M. Victoria (2008). A Hybrid Parameterization Technique for Speaker Identification. In: "16th European Signal Processing Conference", 25/09/2008-29/09/2008, Lausanne, Switzerland.

Description

Title: A Hybrid Parameterization Technique for Speaker Identification
Author/s:
  • Gómez Vilda, Pedro
  • Álvarez Marquina, Agustin
  • Mazaira Fernández, Luis Miguel
  • Fernández-Baillo Gallego de la Sacristana, Roberto
  • Nieto Lluis, Victor
  • Martínez Olalla, Rafael
  • Muñoz, Cristina
  • Rodellar Biarge, M. Victoria
Item Type: Presentation at Congress or Conference (Article)
Event Title: 16th European Signal Processing Conference
Event Dates: 25/09/2008-29/09/2008
Event Location: Lausanne, Switzerland
Title of Book: Proceedings of the 16th European Signal Processing Conference (EUSIPCO 2008)
Date: 2008
Subjects:
Faculty: Facultad de Informática (UPM)
Department: Arquitectura y Tecnología de Sistemas Informáticos
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

Classical parameterization techniques for Speaker Identification use the codification of the power spectral density of raw speech, not discriminating between articulatory features produced by vocal tract dynamics (acoustic-phonetics) from glottal source biometry. Through the present paper a study is conducted to separate voicing fragments of speech into vocal and glottal components, dominated respectively by the vocal tract transfer function estimated adaptively to track the acoustic-phonetic sequence of the message, and by the glottal characteristics of the speaker and the phonation gesture. The separation methodology is based in Joint Process Estimation under the un-correlation hypothesis between vocal and glottal spectral distributions. Its application on voiced speech is presented in the time and frequency domains. The parameterization methodology is also described. Speaker Identification experiments conducted on 245 speakers are shown comparing different parameterization strategies. The results confirm the better performance of decoupled parameterization compared against approaches based on plain speech parameterization.

More information

Item ID: 4672
DC Identifier: http://oa.upm.es/4672/
OAI Identifier: oai:oa.upm.es:4672
Official URL: http://www.eurasip.org/Proceedings/Eusipco/Eusipco2008/program.html
Deposited by: Memoria Investigacion
Deposited on: 25 Oct 2010 11:35
Last Modified: 20 Apr 2016 13:47
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