Observatorio de I+D+i UPM

Memorias de investigación
Communications at congresses:
New Method for Finding Optimum Number of Characteristics to Classify Speakers by Age
Year:2016
Research Areas
  • Bioinstrumentation,
  • Dataprocessing
Information
Abstract
It is known that the amount of characteristics may be the bottleneck of a digital processing system. Finding a good method to detect which characteristics are the most important to identify a speaker would get better results with less characteristics. The classification of an adult speaker by their age is a big challenge since the adulthood is a long period without significant changes in voice. This study proposes a new method based on F-ratio, dispersion metric and also correlation between parameters to find a rank of features. A bootstrapping procedure determines the optimum number of characteristics within a feature vector to characterize a speaker. The results are compared with other non linear ranking methods. The proposed algorithm achieves a better performance in most cases.
International
Si
Congress
Recent Advances in Nonlinear Speech Processing
960
Place
Vietri, Italia
Reviewers
Si
ISBN/ISSN
2190-3018
10.1007/978-3-319-28109-4_29
Start Date
18/05/2015
End Date
20/05/2015
From page
285
To page
292
Recent Advances in Nonlinear Speech Processing, Smart Innovation, Systems and Technologies
Participants
  • Autor: Cristina Muñoz Mulas
  • Autor: Rafael Martinez Olalla (UPM)
  • Autor: Pedro Gomez Vilda (UPM)
  • Autor: Agustin Alvarez Marquina (UPM)
  • Autor: Luis Miguel Mazaira Fernández
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Informática Aplicada al Procesado de Señal e Imagen
  • Departamento: Arquitectura y Tecnología de Sistemas Informáticos
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)