Automatic age detection in normal and pathological voice

Gómez García, Jorge Andrés and Moro Velázquez, Laureano and Godino Llorente, Juan Ignacio and Castellanos Domínguez, Germán (2015). Automatic age detection in normal and pathological voice. In: "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.

Description

Title: Automatic age detection in normal and pathological voice
Author/s:
  • Gómez García, Jorge Andrés
  • Moro Velázquez, Laureano
  • Godino Llorente, Juan Ignacio
  • Castellanos Domínguez, Germán
Item Type: Presentation at Congress or Conference (Article)
Event Title: 16th Annual Conference of the International Speech Communication Association (INTERSPEECH 2015)
Event Dates: 6/09/2015 - 10/09/2015
Event Location: Dresden (Germany)
Title of Book: 16th Annual Conference of the International Speech Communication Association (INTERSPEECH 2015): Speech Beyond Speech Towards a Better Understanding of the Most Important Biosignal
Date: 2015
ISBN: 978-1-5108-1790-6
Subjects:
Freetext Keywords: Age recognition, pathological voice, sustained vowels
Faculty: E.T.S.I. y Sistemas de Telecomunicación (UPM)
Department: Teoría de la Señal y Comunicaciones
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

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.

Funding Projects

TypeCodeAcronymLeaderTitle
Madrid Regional GovernmentRR01/2011UnspecifiedUnspecifiedAyudas para la realizacion del doctorado
Government of SpainTEC201238630-C04-01UnspecifiedMinisterio de EducaciónUnspecified

More information

Item ID: 45047
DC Identifier: http://oa.upm.es/45047/
OAI Identifier: oai:oa.upm.es:45047
Official URL: http://interspeech2015.org/
Deposited by: Memoria Investigacion
Deposited on: 25 Apr 2017 18:30
Last Modified: 25 Apr 2017 18:30
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