Observatorio de I+D+i UPM

Memorias de investigación
Ponencias en congresos:
Articulation Dynamics in Parkinson Dysarthria
Año:2017
Áreas de investigación
  • Ciencias naturales y ciencias de la salud,
  • Ingenierías
Datos
Descripción
The Vowel Space Area (VSA) and the Formant Centralization Ratio (FCR) have been proposed to describe dysarthria in Parkinson Disease (PD) as well as in other neuromotor diseases affecting speech. These features are based in global estimations of the positions of the first two formants in the representation of a vowel triangle. The aim of the paper is to give a description of speech articulation dynamics as a probability density function of the kinematic features derived from the evolution of formants in the time domain. The statistical distribution of the dynamic behaviour of articulation features can be used to estimate differences between speech features from subjects with Parkinson dysarthria relative to normative subjects. Utterances of vowels [a:, i:, u:] from a subset of 16 subjects with PD (8 males and 8 females), confronted to a subset of 16 normative subjects (8 males and 8 females) have shown that the statistical distributions of dynamic articulation features can be differentiated using information theory based estimations such as Kullback-Leibler?s Divergence (KLD). These estimations allow establishing relevant statistical differences between PD and normative subjects both for males and females, well over the differentiation capability of VSA and FCR.
Internacional
Si
Nombre congreso
10 th International Workshop MAVEBA2017
Tipo de participación
960
Lugar del congreso
Florencia, Italia
Revisores
Si
ISBN o ISSN
978-88-6453-606-4
DOI
Fecha inicio congreso
13/12/2017
Fecha fin congreso
15/12/2017
Desde la página
81
Hasta la página
84
Título de las actas
Proceedings of the 10 th International Workshop MAVEBA2017
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Pedro Gomez Vilda (UPM)
  • Autor: Jiri Mekyska (University of Brno)
  • Autor: Andres Gomez Rodellar (UPM)
  • Autor: Daniel Palacios Alonso (Universidad Rey Juan Carlos)
  • Autor: M. Victoria Rodellar Biarge (UPM)
  • Autor: Agustin Alvarez Marquina (UPM)
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: Centro de tecnología Biomédica CTB
  • Departamento: Arquitectura y Tecnología de Sistemas Informáticos
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