Detail publikačního výsledku

Articulation dynamics in Parkinson dysarthria

GOMEZ, P.; MEKYSKA, J.; GOMEZ, A.; PALACIOS, D.; RODELLAR, V.; ALVAREZ, A.

Originální název

Articulation dynamics in Parkinson dysarthria

Anglický název

Articulation dynamics in Parkinson dysarthria

Druh

Stať ve sborníku v databázi WoS či Scopus

Originální abstrakt

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.

Anglický abstrakt

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.

Klíčová slova

Articulation biomechanics; Kullback-Leibler Divergence; Neuromotor diseases; Speech kinematics; Speech processing

Klíčová slova v angličtině

Articulation biomechanics; Kullback-Leibler Divergence; Neuromotor diseases; Speech kinematics; Speech processing

Autoři

GOMEZ, P.; MEKYSKA, J.; GOMEZ, A.; PALACIOS, D.; RODELLAR, V.; ALVAREZ, A.

Rok RIV

2022

Vydáno

29.12.2017

Nakladatel

Firenze University Press

Místo

Firenze, Itálie

ISBN

9788864536064

Kniha

Proceedings and Report - 10th International Workshop on Models and Analysis of Vocal Emissions for Biomedical Applications, MAVEBA 2017

Strany od

81

Strany do

84

Strany počet

4

BibTex

@inproceedings{BUT177428,
  author="GOMEZ, P. and MEKYSKA, J. and GOMEZ, A. and PALACIOS, D. and RODELLAR, V. and ALVAREZ, A.",
  title="Articulation dynamics in Parkinson dysarthria",
  booktitle="Proceedings and Report - 10th International Workshop on Models and Analysis of Vocal Emissions for Biomedical Applications, MAVEBA 2017",
  year="2017",
  pages="81--84",
  publisher="Firenze University Press",
  address="Firenze, Itálie",
  isbn="9788864536064"
}