Glottal Parameter Estimation by Wavelet Transform for Voice Biometry

Gómez Vilda, Pedro and Muñoz Mulas, Cristina and Mazaira Fernández, Luis Miguel and Rodellar Biarge, M. Victoria and Martínez Olalla, Rafael and Álvarez Marquina, Agustin (2011). Glottal Parameter Estimation by Wavelet Transform for Voice Biometry. In: "2011 IEEE International Carnahan Conference on Security Technology (ICCST)", 18/10/2011 - 21/10/2011, Barcelona, España. ISBN 978-1-4577-0902-9.

Description

Title: Glottal Parameter Estimation by Wavelet Transform for Voice Biometry
Author/s:
  • Gómez Vilda, Pedro
  • Muñoz Mulas, Cristina
  • Mazaira Fernández, Luis Miguel
  • Rodellar Biarge, M. Victoria
  • Martínez Olalla, Rafael
  • Álvarez Marquina, Agustin
Item Type: Presentation at Congress or Conference (Article)
Event Title: 2011 IEEE International Carnahan Conference on Security Technology (ICCST)
Event Dates: 18/10/2011 - 21/10/2011
Event Location: Barcelona, España
Title of Book: Proceedings of 2011 IEEE International Carnahan Conference on Security Technology (ICCST)
Date: 2011
ISBN: 978-1-4577-0902-9
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

Voice biometry is classically based on the parameterization and patterning of speech features mainly. The present approach is based on the characterization of phonation features instead (glottal features). The intention is to reduce intra-speaker variability due to the `text'. Through the study of larynx biomechanics it may be seen that the glottal correlates constitute a family of 2-nd order gaussian wavelets. The methodology relies in the extraction of glottal correlates (the glottal source) which are parameterized using wavelet techniques. Classification and pattern matching was carried out using Gaussian Mixture Models. Data of speakers from a balanced database and NIST SRE HASR2 were used in verification experiments. Preliminary results are given and discussed.

More information

Item ID: 13606
DC Identifier: http://oa.upm.es/13606/
OAI Identifier: oai:oa.upm.es:13606
Official URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6095951
Deposited by: Memoria Investigacion
Deposited on: 21 Nov 2012 11:57
Last Modified: 21 Apr 2016 12:56
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