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Memorias de investigación
Ponencias en congresos:
New Method for Finding Optimum Number of Characteristics to Classify Speakers by Age
Año:2016
Áreas de investigación
  • Bioinstrumentación,
  • Tratamiento de datos
Datos
Descripción
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.
Internacional
Si
Nombre congreso
Recent Advances in Nonlinear Speech Processing
Tipo de participación
960
Lugar del congreso
Vietri, Italia
Revisores
Si
ISBN o ISSN
2190-3018
DOI
10.1007/978-3-319-28109-4_29
Fecha inicio congreso
18/05/2015
Fecha fin congreso
20/05/2015
Desde la página
285
Hasta la página
292
Título de las actas
Recent Advances in Nonlinear Speech Processing, Smart Innovation, Systems and Technologies
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Cristina Muñoz Mulas
  • Autor: Rafael Martinez Olalla (UPM)
  • Autor: Pedro Gomez Vilda (UPM)
  • Autor: Agustin Alvarez Marquina (UPM)
  • Autor: Luis Miguel Mazaira Fernández
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Centro o Instituto I+D+i: Centro de tecnología Biomédica CTB
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