Memorias de investigación
Ponencias en congresos:
Classical vs. Biometric Features in the 2013 Speaker Recognition Evaluation in Mobile Environments
Año:2013
Áreas de investigación
  • Procesado y análisis de la señal
Datos
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
Participantes
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Centro o Instituto I+D+i: Centro de tecnología Biomédica CTB
  • Departamento: Arquitectura y Tecnología de Sistemas Informáticos