Recognition of pathological voices

被引：0

作者：

Salma, Chekili ^{[1
]}

Asma, Belhaj ^{[1
]}

Aicha, Bouzid ^{[1
]}

Noureddine, Ellouze ^{[1
]}

机构：

[1] Univ Tunis El Manar, Ecole Natl Ingn Tunis, Lab Signal Images & Technol Informat, El Manar, Tunisia

来源：

2014 11TH INTERNATIONAL MULTI-CONFERENCE ON SYSTEMS, SIGNALS & DEVICES (SSD) | 2014年

关键词：

pathological voices; SVM; MFCC; Open quotient; LARYNGEAL PATHOLOGY;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

In this paper, we are interested in recognizing normal and pathological voices using the classification method SVM. In This classification we add to the feature vector composed of MFCC coefficients, delta, delta second, Energy, fundamental frequency, a new parameter called the open quotient. The open quotient is defined as the ratio of the open phase by the mean pitch period. This parameter is calculated using the multiscale product method (MPM). SVM classification is then applied on the Kay Pentax database.

引用

页数：6

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