BIO-MECHANICAL CHARACTERIZATION OF VOICE FOR SMOKING DETECTION

被引:0
|
作者
Ben Jebara, S. [1 ]
机构
[1] Carthage Univ, Ecole Super Commun Tunis, COSIM Lab, Route Raoued 3-5 Km, Cite El Ghazala 2088, Ariana, Tunisia
关键词
Smoking detection; voice analysis; bio-mechanical features;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The purpose of this work is to discriminate between smoker and nonsmoker speakers by analyzing their voice. In fact, the vocal folds, the main organ responsible of producing voice, is damaged by smoke so that its structure and its vibration are altered. Some bio-mechanical features, describing vocals folds behavior and status are used. They are based on the two-mass model which characterizes vocal folds by the mass, the stiffness and the losses of their cover and body parts. Bio-mechanical features of smokers and non-smokers are analyzed and compared to select relevant features permitting to discriminate between the two categories of speakers. The Quadratic Discriminant Analysis is used as a tool of classification and shows a relatively good rate of detection of smokers.
引用
收藏
页码:2475 / 2479
页数:5
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