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ORCID: https://orcid.org/0000-0002-6060-387X, Moro Velázquez, Laureano and Godino Llorente, Juan Ignacio
ORCID: https://orcid.org/0000-0001-7348-3291
(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.
| Título: | On the design of automatic voice condition analysis systems. Part I: review of concepts and an insight to the state of the art |
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| Autor/es: |
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| Tipo de Documento: | Artículo |
| Título de Revista/Publicación: | Biomedical Signal Processing and Control |
| Fecha: | Mayo 2019 |
| ISSN: | 1746-8094 |
| Volumen: | 51 |
| Materias: | |
| ODS: | |
| Palabras Clave Informales: | Automatic voice condition analysis; Voice pathology detection; Extralinguistic aspects of the speech; Voice quality |
| Escuela: | E.T.S.I. Telecomunicación (UPM) |
| Departamento: | Otro |
| Licencias Creative Commons: | Reconocimiento - Sin obra derivada - No comercial |
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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.
| ID de Registro: | 64428 |
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| Identificador DC: | https://oa.upm.es/64428/ |
| Identificador OAI: | oai:oa.upm.es:64428 |
| URL Portal Científico: | https://portalcientifico.upm.es/es/ipublic/item/4917072 |
| Identificador DOI: | 10.1016/j.bspc.2018.12.024 |
| URL Oficial: | https://www.sciencedirect.com/science/article/pii/... |
| Depositado por: | Memoria Investigacion |
| Depositado el: | 19 Dic 2020 10:00 |
| Ultima Modificación: | 12 Nov 2025 00:00 |
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