Neuromechanical modelling of articulatory movements from surface electromyography and speech formants

Gómez Vilda, Pedro and Gómez Rodellar, Andrés and Ferrández Vicente, José Manuel and Mekyska, Jiri and Palacios Alonso, Daniel and Rodellar Biarge, M. Victoria and Álvarez Marquina, Agustín and Eliasova, Ilona and Kostalova, Milena and Rektorova, Irena (2018). Neuromechanical modelling of articulatory movements from surface electromyography and speech formants. "International Journal of Neural Systems", v. 29 (n. 2); pp. 1-17. ISSN 0129-0657. https://doi.org/10.1142/S0129065718500399.

Description

Title: Neuromechanical modelling of articulatory movements from surface electromyography and speech formants
Author/s:
  • Gómez Vilda, Pedro
  • Gómez Rodellar, Andrés
  • Ferrández Vicente, José Manuel
  • Mekyska, Jiri
  • Palacios Alonso, Daniel
  • Rodellar Biarge, M. Victoria
  • Álvarez Marquina, Agustín
  • Eliasova, Ilona
  • Kostalova, Milena
  • Rektorova, Irena
Item Type: Article
Título de Revista/Publicación: International Journal of Neural Systems
Date: 2018
ISSN: 0129-0657
Volume: 29
Subjects:
Freetext Keywords: Speech neuromotor activity; Facial myoelectric activity; Dysfluency; Dysarthria; Parkinson’s disease
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

Speech articulation is produced by the movements of muscles in the larynx, pharynx, mouth and face. Therefore speech shows acoustic features as formants which are directly related with neuromotor actions of these muscles. The first two formants are strongly related with jaw and tongue muscular activity. Speech can be used as a simple and ubiquitous signal, easy to record and process, either locally or on e-Health platforms. This fact may open a wide set of applications in the study of functional grading and monitoring neurodegenerative diseases. A relevant question, in this sense, is how far speech correlates and neuromotor actions are related. This preliminary study is intended to find answers to this question by using surface electromyographic recordings on the masseter and the acoustic kinematics related with the first formant. It is shown in the study that relevant correlations can be found among the surface electromyographic activity (dynamic muscle behavior) and the positions and first derivatives of the first formant (kinematic variables related to vertical velocity and acceleration of the joint jaw and tongue biomechanical system). As an application example, it is shown that the probability density function associated to these kinematic variables is more sensitive than classical features as Vowel Space Area (VSA) or Formant Centralization Ratio (FCR) in characterizing neuromotor degeneration in Parkinson’s Disease.

Funding Projects

TypeCodeAcronymLeaderTitle
Government of SpainTEC2016-77791-C4-4-RUnspecifiedUniversidad Politécnica de MadridDescripción biométrica del locutor basada en correlatos de acción motora y estado cognitivo con aplicaciones en seguridad y rehabilitación

More information

Item ID: 54668
DC Identifier: http://oa.upm.es/54668/
OAI Identifier: oai:oa.upm.es:54668
DOI: 10.1142/S0129065718500399
Official URL: https://www.worldscientific.com/doi/pdf/10.1142/S0129065718500399
Deposited by: Memoria Investigacion
Deposited on: 07 May 2019 11:27
Last Modified: 07 May 2019 11:27
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