BioMet®Phon: A system to monitor phonation quality in the clinics

Gómez Vilda, Pedro; Rodellar Biarge, M. Victoria; Nieto Lluis, Victor; Martínez Olalla, Rafael; Álvarez Marquina, Agustin; Scola Yurrita, Bartolomé; Ramírez Calvo, Carlos; Poletti Serafini, Daniel y Fernández Fernández, Mario (2013). BioMet®Phon: A system to monitor phonation quality in the clinics. En: "5th International Conference on e-Health, Telemedicine and Social Medicine, eTELEMED 2013", 24/02/2013 - 01/03/2013, Nice, France. ISBN 978-1-61208-252-3. p. 1.

Descripción

Título: BioMet®Phon: A system to monitor phonation quality in the clinics
Autor/es:
  • Gómez Vilda, Pedro
  • Rodellar Biarge, M. Victoria
  • Nieto Lluis, Victor
  • Martínez Olalla, Rafael
  • Álvarez Marquina, Agustin
  • Scola Yurrita, Bartolomé
  • Ramírez Calvo, Carlos
  • Poletti Serafini, Daniel
  • Fernández Fernández, Mario
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: 5th International Conference on e-Health, Telemedicine and Social Medicine, eTELEMED 2013
Fechas del Evento: 24/02/2013 - 01/03/2013
Lugar del Evento: Nice, France
Título del Libro: Proceedings of 5th International Conference on e-Health, Telemedicine and Social Medicine
Fecha: 24 Febrero 2013
ISBN: 978-1-61208-252-3
Materias:
Palabras Clave Informales: speech therapy; voice quality analysis; dysphonia
Escuela: Centro de Tecnología Biomédica (CTB) (UPM)
Departamento: Otro
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

BioMet®Phon is a software application developed for the characterization of voice in voice quality evaluation. Initially it was conceived as plain research code to estimate the glottal source from voice and obtain the biomechanical parameters of the vocal folds from the spectral density of the estimate. This code grew to what is now the Glottex®Engine package (G®E). Further demands from users in laryngology and speech therapy fields instantiated the development of a specific Graphic User Interface (GUI’s) to encapsulate user interaction with the G®E. This gave place to BioMet®Phon, an application which extracts the glottal source from voice and offers a complete parameterization of this signal, including distortion, cepstral, spectral, biomechanical, time domain, contact and tremor parameters. The semantic capabilities of biomechanical parameters are discussed. Study cases from its application to the field of laryngology and speech therapy are given and discussed. Validation results in voice pathology detection are also presented. Applications to laryngology, speech therapy, and monitoring neurological deterioration in the elder are proposed.

Más información

ID de Registro: 32183
Identificador DC: http://oa.upm.es/32183/
Identificador OAI: oai:oa.upm.es:32183
Depositado por: Memoria Investigacion
Depositado el: 06 May 2015 16:44
Ultima Modificación: 13 May 2015 13:04
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