Neurological Disease Detection and Monitoring from Voice Production

Gómez Vilda, Pedro y Rodellar Biarge, M. Victoria (2011). Neurological Disease Detection and Monitoring from Voice Production. En: "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.

Descripción

Título: Neurological Disease Detection and Monitoring from Voice Production
Autor/es:
  • Gómez Vilda, Pedro
  • Rodellar Biarge, M. Victoria
Tipo de Documento: Ponencia en Congreso o Jornada (Sin especificar)
Título del Evento: 5th International Conference on Nonlinear Speech Processing
Fechas del Evento: 07/11/2011 - 09/11/2011
Lugar del Evento: Las Palmas de Gran Canaria, España
Título del Libro: Advances in Nonlinear Speech Processing Lecture Notes in Computer Science
Fecha: 2011
ISBN: 978-3-642-25019-4
Volumen: 7015
Materias:
Escuela: Facultad de Informática (UPM) [antigua denominación]
Departamento: Arquitectura y Tecnología de Sistemas Informáticos
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

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

Más información

ID de Registro: 13677
Identificador DC: http://oa.upm.es/13677/
Identificador OAI: oai:oa.upm.es:13677
URL Oficial: http://link.springer.com/chapter/10.1007/978-3-642-25020-0_1?null
Depositado por: Memoria Investigacion
Depositado el: 20 Nov 2012 12:18
Ultima Modificación: 21 Abr 2016 13:00
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