Observatorio de I+D+i UPM

Memorias de investigación
Book chapters:
KPCA vs. PCA study for an age classification of speakers
Year:2011
Research Areas
  • Engineering,
  • Voice recognition,
  • Voice processing
Information
Abstract
Kernel-PCA and PCA techniques are compared in the task of age and gender separation. A feature extraction process that discriminates between vocal tract and glottal source is implemented. The reason why speech is processed in that way is because vocal tract length and resonant characteristics are related to gender and age and there is also a great relationship between glottal source and age and gender. The obtained features are then processed with PCA and kernel-PCA techniques. The results show that gender and age separation is possible and that kernel-PCA (especially with RBF kernel) clearly outperforms classical PCA or no preprocessing features.
International
Si
Book Edition
Book Publishing
Springer-Verlag
ISBN
978-3-642-25019-4
Series
Book title
Proceeding NOLISP'11 Proceedings of the 5th international conference on Advances in nonlinear speech processing
From page
190
To page
198
Participants
  • Autor: Cristina Muñoz Mulas (UPM)
  • Autor: Rafael Martinez Olalla (UPM)
  • Autor: Pedro Gomez Vilda (UPM)
  • Autor: Elmar W. Lang (Universität of Regensburg, Regensburg, Germany)
  • Autor: Agustin Alvarez Marquina (UPM)
  • Autor: Luis Miguel Mazaira Fernandez (UPM)
  • Autor: Victor Nieto Lluis (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Informática Aplicada al Procesado de Señal e Imagen
S2i 2020 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
Cofinanciación del MINECO en el marco del Programa INNPACTO (IPT-020000-2010-22)