Classification System of Pathological Voices Using Correntropy

被引：19

作者：

Fontes, Aluisio I. R. ^{[1
,2
]}

Souza, Pedro T. V. ^{[3
]}

Neto, Adriao D. D. ^{[2
]}

Martins, Allan de M. ^{[3
]}

Silveira, Luiz F. Q. ^{[2
]}

机构：

[1] Univ Fed Rio Grande do Norte, Postgrad Program Elect & Comp Engn PPgEEC, BR-59078970 Natal, RN, Brazil

[2] Univ Fed Rio Grande do Norte, Dept Comp Engn, BR-59078970 Natal, RN, Brazil

[3] Univ Fed Rio Grande do Norte, Dept Elect Engn, BR-59078970 Natal, RN, Brazil

来源：

MATHEMATICAL PROBLEMS IN ENGINEERING | 2014年 / 2014卷

关键词：

D O I：

10.1155/2014/924786

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

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.

引用

页数：7

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