Memorias de investigación
Communications at congresses:
Classical vs. Biometric Features in the 2013 Speaker Recognition Evaluation in Mobile Environments
Year:2013
Research Areas
  • Processing and signal analysis
Information
Abstract
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
International
No
Congress
I Jornadas Interdisciplinares de Voz, Habla y Canto 2013
960
Place
Las Palmas de Gran Canaria, Spain
Reviewers
Si
ISBN/ISSN
84-695-8101-5
Start Date
27/06/2013
End Date
28/06/2013
From page
96
To page
105
Libro de Actas de las I Jornadas Multidisciplinares de Usuarios de la Voz, el Habla y el Canto
Participants
Research Group, Departaments and Institutes related
  • Creador: Centro o Instituto I+D+i: Centro de tecnología Biomédica CTB
  • Departamento: Arquitectura y Tecnología de Sistemas Informáticos