Observatorio de I+D+i UPM

Memorias de investigación
Capítulo de libro:
Influence of delay time on regularity estimation for voice pathology detection
Año:2012
Áreas de investigación
  • Ingenierías,
  • Procesamiento de voz
Datos
Descripción
The employment of nonlinear analysis techniques for automatic voice pathology detection systems has gained popularity due to the ability of such techniques for dealing with the underlying nonlinear phenomena. On this respect, characterization using nonlinear analysis typically employs the classical Correlation Dimension and the largest Lyapunov Exponent, as well as some regularity quantifiers computing the system predictability. Mostly, regularity features highly depend on a correct choosing of some parameters. One of those, the delay time ?, is usually fixed to be 1. Nonetheless, it has been stated that a unity ? can not avoid linear correlation of the time series and hence, may not correctly capture system nonlinearities. Therefore, present work studies the influence of the ? parameter on the estimation of regularity features. Three ? estimations are considered: the baseline value 1; a ? based on the Average Automutual Information criterion; and ? chosen from the embedding window. Testing results obtained for pathological voice suggest that an improved accuracy might be obtained by using a ? value different from 1, as it accounts for the underlying nonlinearities of the voice signal.
Internacional
Si
DOI
Edición del Libro
Editorial del Libro
ISBN
978-1-4244-4120-4
Serie
Título del Libro
Proceedings de IEEE EMBC?12
Desde página
4217
Hasta página
4220
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Jorge Andres Gomez Garcia (UPM)
  • Autor: Juan Ignacio Godino Llorente (UPM)
  • Autor: German Castellanos Dominguez
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Informática Aplicada al Procesado de Señal e Imagen
  • Centro o Instituto I+D+i: Tecnologías del Software y Sistemas Multimedia para la Sostenibilidad (CITSEM)
  • Departamento: Ingeniería de Circuitos y Sistemas
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