Support vector machines and wavelets for voice disorder sorting

被引：0

作者：

Guido, Rodrigo Capobianco ^{[1
]}

Pereira, Jose Carlos ^{[1
]}

Fonseca, Everthon Silva ^{[1
]}

Maciel, Carlos Dias ^{[1
]}

Vieira, Lucimar Sasso ^{[1
]}

Guilerme, Fabricio Lopes Sanchez Marcio Borges A. ^{[1
]}

Barbon, Silvio, Jr. ^{[1
]}

机构：

[1] Univ Sao Paulo, Dept Phys & Informat, Inst Phys Sao Carlos, BR-13560970 Sao Carlos, SP, Brazil

来源：

PROCEEDINGS OF THE THIRTY-EIGHTH SOUTHEASTERN SYMPOSIUM ON SYSTEM THEORY | 2004年

关键词：

discrete wavelet transform; time-frequency analysis; voice disorders sorting; support vector machines;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

We present an algorithm to distinguish between pathological and normal human voice signals based on discrete wavelet transforms (DWT) and Support Vector Machines (SVM). The former is used for time-frequency analysis and provides quantitative evaluation of signal characteristics. The latter is used for the final classification. The technique leads to an adequate larynx pathology classifier with over 95% of classification accuracy.

引用

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页码：434 / 438

页数：5

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