Articulation dynamics in Parkinson dysarthria

Gómez Vilda, Pedro and Mekyska, Jiri and Gómez Rodellar, Andrés and Palacios Alonso, Daniel and Rodellar Biarge, M. Victoria and Álvarez Marquina, Agustín (2017). Articulation dynamics in Parkinson dysarthria. In: "10th International Workshop of Models and Analysis of Vocal Emissions for Biomedical Applications (MAVEBA2017)", 13-15 Dic 2017, Florencia, Italia. ISBN 978-88-6453-606-4. pp. 81-84.

Description

Title: Articulation dynamics in Parkinson dysarthria
Author/s:
  • Gómez Vilda, Pedro
  • Mekyska, Jiri
  • Gómez Rodellar, Andrés
  • Palacios Alonso, Daniel
  • Rodellar Biarge, M. Victoria
  • Álvarez Marquina, Agustín
Item Type: Presentation at Congress or Conference (Article)
Event Title: 10th International Workshop of Models and Analysis of Vocal Emissions for Biomedical Applications (MAVEBA2017)
Event Dates: 13-15 Dic 2017
Event Location: Florencia, Italia
Title of Book: Models and Analysis of Vocal Emissions for Biomedical Applications : 10th International Workshop
Date: 2017
ISBN: 978-88-6453-606-4
Subjects:
Freetext Keywords: Neuromotor diseases; Speech processing; Articulation biomechanics; Kullback-Leibler Divergence; Speech kinematics
Faculty: E.T.S. de Ingenieros Informáticos (UPM)
Department: Arquitectura y Tecnología de Sistemas Informáticos
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

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.

More information

Item ID: 50740
DC Identifier: http://oa.upm.es/50740/
OAI Identifier: oai:oa.upm.es:50740
Official URL: https://digital.casalini.it/9788864536071
Deposited by: Memoria Investigacion
Deposited on: 05 Jun 2019 11:47
Last Modified: 05 Jun 2019 11:47
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