Observatorio de I+D+i UPM

Descripción
MFCC coefficients extracted from the power spectral density of speech as a whole, seems to have become the de facto standard in the area of speaker recognition, as demonstrated by its use in almost all systems submitted to the 2013 Speaker Recognition Evaluation (SRE) in Mobile Environment [1], thus relegating to background this component of the recognition systems. However, in this article we will show that selecting the adequate speaker characterization system is as important as the selection of the classifier. To accomplish this we will compare the recognition rates achieved by different recognition systems that relies on the same classifier (GMM-UBM) but connected with different feature extraction systems (based on both classical and biometric parameters). As a result we will show that a gender dependent biometric parameterization with a simple recognition system based on GMM- UBM paradigm provides very competitive or even better recognition rates when compared to more complex classification systems based on classical features
Internacional	No
Nombre congreso	I Jornadas Interdisciplinares de Voz, Habla y Canto 2013
Tipo de participación	960
Lugar del congreso	Las Palmas de Gran Canaria, Spain
Revisores	Si
ISBN o ISSN	84-695-8101-5
DOI
Fecha inicio congreso	27/06/2013
Fecha fin congreso	28/06/2013
Desde la página	96
Hasta la página	105
Título de las actas	Libro de Actas de las I Jornadas Multidisciplinares de Usuarios de la Voz, el Habla y el Canto

Esta actividad pertenece a memorias de investigación

• Autor: Luis Miguel Mazaira Fernandez (UPM)
• Autor: Agustin Alvarez Marquina (UPM)
• Autor: Pedro Gomez Vilda (UPM)
• Autor: Rafael Martinez Olalla (UPM)
• Autor: Cristina Elena Muñoz Mulas (UPM)

• Creador: Centro o Instituto I+D+i: Centro de tecnología Biomédica CTB
• Departamento: Arquitectura y Tecnología de Sistemas Informáticos