Neurological Disease Detection and Monitoring from Voice Production

Gómez Vilda, Pedro and Rodellar Biarge, M. Victoria (2011). Neurological Disease Detection and Monitoring from Voice Production. In: "5th International Conference on Nonlinear Speech Processing", 07/11/2011 - 09/11/2011, Las Palmas de Gran Canaria, España. ISBN 978-3-642-25019-4.

Description

Title: Neurological Disease Detection and Monitoring from Voice Production
Author/s:
  • Gómez Vilda, Pedro
  • Rodellar Biarge, M. Victoria
Item Type: Presentation at Congress or Conference (Unspecified)
Event Title: 5th International Conference on Nonlinear Speech Processing
Event Dates: 07/11/2011 - 09/11/2011
Event Location: Las Palmas de Gran Canaria, España
Title of Book: Advances in Nonlinear Speech Processing Lecture Notes in Computer Science
Date: 2011
ISBN: 978-3-642-25019-4
Volume: 7015
Subjects:
Faculty: Facultad de Informática (UPM)
Department: Arquitectura y Tecnología de Sistemas Informáticos
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

The dramatic impact of neurological degenerative pathologies in life quality is a growing concern. It is well known that many neurological diseases leave a fingerprint in voice and speech production. Many techniques have been designed for the detection, diagnose and monitoring the neurological disease. Most of them are costly or difficult to extend to primary attention medical services. Through the present paper it will be shown how some neurological diseases can be traced at the level of phonation. The detection procedure would be based on a simple voice test. The availability of advanced tools and methodologies to monitor the organic pathology of voice would facilitate the implantation of these tests. The paper hypothesizes that some of the underlying mechanisms affecting the production of voice produce measurable correlates in vocal fold biomechanics. A general description of the methodological foundations for the voice analysis system which can estimate correlates to the neurological disease is shown. Some study cases will be presented to illustrate the possibilities of the methodology to monitor neurological diseases by voice

More information

Item ID: 13677
DC Identifier: http://oa.upm.es/13677/
OAI Identifier: oai:oa.upm.es:13677
Official URL: http://link.springer.com/chapter/10.1007/978-3-642-25020-0_1?null
Deposited by: Memoria Investigacion
Deposited on: 20 Nov 2012 12:18
Last Modified: 21 Apr 2016 13:00
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