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

Gómez Vilda, Pedro and Rodellar Biarge, M. Victoria and Nieto Lluis, Victor and Martínez Olalla, Rafael and Álvarez Marquina, Agustin and Scola Yurrita, Bartolomé and Ramírez Calvo, Carlos and Poletti Serafini, Daniel and Fernández Fernández, Mario (2013). BioMet®Phon: A system to monitor phonation quality in the clinics. In: "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.

Description

Title: BioMet®Phon: A system to monitor phonation quality in the clinics
Author/s:
  • 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
Item Type: Presentation at Congress or Conference (Article)
Event Title: 5th International Conference on e-Health, Telemedicine and Social Medicine, eTELEMED 2013
Event Dates: 24/02/2013 - 01/03/2013
Event Location: Nice, France
Title of Book: Proceedings of 5th International Conference on e-Health, Telemedicine and Social Medicine
Date: 24 February 2013
ISBN: 978-1-61208-252-3
Subjects:
Freetext Keywords: speech therapy; voice quality analysis; dysphonia
Faculty: Centro de Tecnología Biomédica (CTB) (UPM)
Department: Otro
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

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.

More information

Item ID: 32183
DC Identifier: http://oa.upm.es/32183/
OAI Identifier: oai:oa.upm.es:32183
Deposited by: Memoria Investigacion
Deposited on: 06 May 2015 16:44
Last Modified: 13 May 2015 13:04
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