Classification System of Pathological Voices Using Correntropy
Joint Authors
de Medeiros Martins, Allan
Silveira, Luiz F. Q.
Neto, Adrião D. D.
Fontes, Aluisio I. R.
Souza, Pedro T. V.
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-08-19
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
This paper proposes the use of a similarity measure based on information theory called correntropy for the automatic classification of pathological voices.
By using correntropy, it is possible to obtain descriptors that aggregate distinct spectral characteristics for healthy and pathological voices.
Experiments using computational simulation demonstrate that such descriptors are very efficient in the characterization of vocal dysfunctions, leading to a success rate of 97% in the classification.
With this new architecture, the classification process of vocal pathologies becomes much more simple and efficient.
American Psychological Association (APA)
Fontes, Aluisio I. R.& Souza, Pedro T. V.& Neto, Adrião D. D.& de Medeiros Martins, Allan& Silveira, Luiz F. Q.. 2014. Classification System of Pathological Voices Using Correntropy. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-508524
Modern Language Association (MLA)
Fontes, Aluisio I. R.…[et al.]. Classification System of Pathological Voices Using Correntropy. Mathematical Problems in Engineering No. 2014 (2014), pp.1-7.
https://search.emarefa.net/detail/BIM-508524
American Medical Association (AMA)
Fontes, Aluisio I. R.& Souza, Pedro T. V.& Neto, Adrião D. D.& de Medeiros Martins, Allan& Silveira, Luiz F. Q.. Classification System of Pathological Voices Using Correntropy. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-508524
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-508524