Improving speaker recognition by biometric voice deconstruction

Mazaira Fernández, Luis Miguel and Álvarez Marquina, Agustín and Gómez Vilda, Pedro (2015). Improving speaker recognition by biometric voice deconstruction. "Frontiers in Bioengineering and Biotechnology", v. 3 ; pp. 1-19. ISSN 2296-4185. https://doi.org/10.3389/fbioe.2015.00126.

Description

Title: Improving speaker recognition by biometric voice deconstruction
Author/s:
  • Mazaira Fernández, Luis Miguel
  • Álvarez Marquina, Agustín
  • Gómez Vilda, Pedro
Item Type: Article
Título de Revista/Publicación: Frontiers in Bioengineering and Biotechnology
Date: September 2015
ISSN: 2296-4185
Volume: 3
Subjects:
Freetext Keywords: Voice biometry; Voice processing; Speaker recognition; Speaker characterization; Source-tract separation; GMM–UBM
Faculty: E.T.S. de Ingenieros Informáticos (UPM)
Department: Arquitectura y Tecnología de Sistemas Informáticos
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

Person identification, especially in critical environments, has always been a subject of great interest. However, it has gained a new dimension in a world threatened by a new kind of terrorism that uses social networks (e.g., YouTube) to broadcast its message. In this new scenario, classical identification methods (such as fingerprints or face recognition) have been forcedly replaced by alternative biometric characteristics such as voice, as sometimes this is the only feature available. The present study benefits from the advances achieved during last years in understanding and modeling voice production. The paper hypothesizes that a gender-dependent characterization of speakers combined with the use of a set of features derived from the components, resulting from the deconstruction of the voice into its glottal source and vocal tract estimates, will enhance recognition rates when compared to classical approaches. A general description about the main hypothesis and the methodology followed to extract the gender-dependent extended biometric parameters is given. Experimental validation is carried out both on a highly controlled acoustic condition database, and on a mobile phone network recorded under non-controlled acoustic conditions.

Funding Projects

TypeCodeAcronymLeaderTitle
Government of SpainTEC2012-38630-C04-01UnspecifiedUniversidad Politécnica de MadridDetección del trastorno neurológico por medio de correlatos de la fonación obtenidos por modelado inverso a partir de la fuente glótica
Government of SpainTEC2012-38630-C04-04UnspecifiedUniversidad Politécnica de MadridDetección del trastorno neurológico por medio de correlatos de la fonación obtenidos por modelado inverso a partir de la fuente glótica

More information

Item ID: 40912
DC Identifier: http://oa.upm.es/40912/
OAI Identifier: oai:oa.upm.es:40912
DOI: 10.3389/fbioe.2015.00126
Official URL: https://www.frontiersin.org/articles/10.3389/fbioe.2015.00126/full
Deposited by: Memoria Investigacion
Deposited on: 20 Oct 2016 07:55
Last Modified: 05 Jun 2019 17:28
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