Automatic age detection in normal and pathological voice

Gómez García, Jorge Andrés; Moro Velázquez, Laureano; Godino Llorente, Juan Ignacio y Castellanos Domínguez, Germán (2015). Automatic age detection in normal and pathological voice. En: "16th Annual Conference of the International Speech Communication Association (INTERSPEECH 2015)", 6/09/2015 - 10/09/2015, Dresden (Germany). ISBN 978-1-5108-1790-6. pp. 3739-3743.

Descripción

Título: Automatic age detection in normal and pathological voice
Autor/es:
  • Gómez García, Jorge Andrés
  • Moro Velázquez, Laureano
  • Godino Llorente, Juan Ignacio
  • Castellanos Domínguez, Germán
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: 16th Annual Conference of the International Speech Communication Association (INTERSPEECH 2015)
Fechas del Evento: 6/09/2015 - 10/09/2015
Lugar del Evento: Dresden (Germany)
Título del Libro: 16th Annual Conference of the International Speech Communication Association (INTERSPEECH 2015): Speech Beyond Speech Towards a Better Understanding of the Most Important Biosignal
Fecha: 2015
ISBN: 978-1-5108-1790-6
Materias:
Palabras Clave Informales: Age recognition, pathological voice, sustained vowels
Escuela: E.T.S.I. y Sistemas de Telecomunicación (UPM)
Departamento: Teoría de la Señal y Comunicaciones
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

Systems that automatically detect voice pathologies are usually trained with recordings belonging to population of all ages. However such an approach might be inadequate because of the acoustic variations in the voice caused by the natural aging process. In top of that, elder voices present some perturbations in quality similar to those related to voice disorders, which make the detection of pathologies more troublesome. With this in mind, the study of methodologies which automatically incorporate information about speakers’ age, aiming at a simplification in the detection of voice disorders is of interest. In this respect, the present paper introduces an age detector trained with normal and pathological voice, constituting a first step towards the study of age-dependent pathology detectors. The proposed system employs sustained vowels of the Saarbrucken database from which two age groups are examinated: adults and elders. Mel frequency cepstral coefficients for characterization, and Gaussian mixture models for classification are utilized. In addition, fusion of vowels at score level is considered to improve detection performance. Results suggest that age might be effectively recognized using normal and pathological voices when using sustained vowels as acoustical material, opening up possibilities for the design of automatic age-dependent voice pathology detection systems.

Proyectos asociados

TipoCódigoAcrónimoResponsableTítulo
Comunidad de MadridRR01/2011Sin especificarSin especificarAyudas para la realizacion del doctorado
Gobierno de EspañaTEC201238630-C04-01Sin especificarMinisterio de EducaciónSin especificar

Más información

ID de Registro: 45047
Identificador DC: http://oa.upm.es/45047/
Identificador OAI: oai:oa.upm.es:45047
URL Oficial: http://interspeech2015.org/
Depositado por: Memoria Investigacion
Depositado el: 25 Abr 2017 18:30
Ultima Modificación: 25 Abr 2017 18:30
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