On the design of automatic voice condition analysis systems. Part I: review of concepts and an insight to the state of the art

Gómez García, Jorge Andrés and Moro Velázquez, Laureano and Godino Llorente, Juan Ignacio (2019). On the design of automatic voice condition analysis systems. Part I: review of concepts and an insight to the state of the art. "Biomedical Signal Processing and Control", v. 51 ; pp. 181-199. ISSN 1746-8094. https://doi.org/10.1016/j.bspc.2018.12.024.

Description

Title: On the design of automatic voice condition analysis systems. Part I: review of concepts and an insight to the state of the art
Author/s:
  • Gómez García, Jorge Andrés
  • Moro Velázquez, Laureano
  • Godino Llorente, Juan Ignacio
Item Type: Article
Título de Revista/Publicación: Biomedical Signal Processing and Control
Date: May 2019
ISSN: 1746-8094
Volume: 51
Subjects:
Freetext Keywords: Automatic voice condition analysis; Voice pathology detection; Extralinguistic aspects of the speech; Voice quality
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Otro
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

This is the first of a two-part series devoted to review the current state of the art of automatic voice condition analysis systems. The goal of this paper is to provide to the scientific community and to newly comers to the field of automatic voice condition analysis a resource that presents introductory concepts, a categorisation of different aspects of voice pathology and a systematic literature review that describes the methodologies and methods that are mostly used in these systems. To this end, pathological voice is firstly described in terms of perceptual characteristics and its relationship with physiological phenomena. Then, a prototypical automatic voice condition analysis system is described, discussing each one of its constituting parts and presenting an in-depth literature review aboutthe methodologies that are typically employed. Finally, a discussion about some variability factors that affect the performance of these systems is presented.

Funding Projects

TypeCodeAcronymLeaderTitle
Government of SpainDPI2017-83405-R1UnspecifiedUnspecifiedUnspecified

More information

Item ID: 64428
DC Identifier: https://oa.upm.es/64428/
OAI Identifier: oai:oa.upm.es:64428
DOI: 10.1016/j.bspc.2018.12.024
Official URL: https://www.sciencedirect.com/science/article/pii/S1746809418303239
Deposited by: Memoria Investigacion
Deposited on: 19 Dec 2020 10:00
Last Modified: 07 Mar 2021 23:30
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