Detecting neuromotor disease from speech articulation

Gómez Vilda, Pedro and Palacios Alonso, Daniel and Gómez Rodellar, Andrés and Carmona Duarte, Cristina and Londral, Ana Rita M. and Nieto Lluis, Victor and Ferrer Ballester, Miguel Ángel and Álvarez Marquina, Agustín (2017). Detecting neuromotor disease from speech articulation. In: "SUBSIDIA 2017: Tools and Resources for Speech Sciences", 21-23 Jun 2017, Málaga, España. pp. 1-6.


Title: Detecting neuromotor disease from speech articulation
  • Gómez Vilda, Pedro
  • Palacios Alonso, Daniel
  • Gómez Rodellar, Andrés
  • Carmona Duarte, Cristina
  • Londral, Ana Rita M.
  • Nieto Lluis, Victor
  • Ferrer Ballester, Miguel Ángel
  • Álvarez Marquina, Agustín
Item Type: Presentation at Congress or Conference (Article)
Event Title: SUBSIDIA 2017: Tools and Resources for Speech Sciences
Event Dates: 21-23 Jun 2017
Event Location: Málaga, España
Title of Book: Congreso Internacional «Subsidia: Tools and Resources for Speech Sciences» (SUBSIDIA)
Date: 2017
Freetext Keywords: Speech processing; Speech articulation; Speech kinematics; Neuromotor dysarthria; Amyotrophic Lateral Sclerosis
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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Speech articulation may be an important resource to study neuromotor activity in relation with neurological diseases, such as Parkinson’s, Alzheimer’s or Amyotrophic Lateral Sclerosis. Through the present work a biomechanical model for the joint structure of the jaw and tongue is introduced. This model allows putting into relation formant trajectories with jaw-tongue kinematics in terms of dorso-ventral and rostro-caudal movements of the structure. The reconstruction of the absolute velocity of the system from inverse filtering estimates of the first two formants allows the introduction of the velocity distribution histograms as descriptors of articulation behavior. A study case using recordings separated in time from a patient suffering from Amyotrophic Lateral Sclerosis, compared to distributions from a normative control is presented. It may be seen that patient’s distributions show larger contents for low ranges of velocity and smaller contents for high velocity ranges compared to the control distribution. Global comparisons of velocity distribution profiles between the control and patient’s records using Information Theory measurements may be used to monitor illness conditions and progress.

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Item ID: 50905
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Deposited by: Memoria Investigacion
Deposited on: 06 Jun 2019 11:46
Last Modified: 06 Jun 2019 11:46
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