Frequency Study for the Characterization of the Dysphonic Voices

被引：0

作者：

Pouchoulin, G. ^{[1
]}

Fredouille, C. ^{[1
]}

Bonastre, J. -F ^{[1
]}

Ghio, A. ^{[2
]}

Giovanni, A. ^{[3
]}

机构：

[1] LIA, Avignon, France

[2] CNR, LPL, Aix En Provence, France

[3] LAPEC, Marseille, France

来源：

INTERSPEECH 2007: 8TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION, VOLS 1-4 | 2007年

关键词：

dysphonia characterization; pathological voice and speech; automatic speaker recognition;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Concerned with pathological voice assessment, this paper aims at characterizing dysphonia in the frequency domain for a better understanding of relating phenomena while most of the studies have focused only on improving classification systems for diagnosis help purposes. In this context, a GMM-based automatic classification system is applied on different frequency ranges in order to investigate which ones are relevant for dysphonia characterization. Experiment results demonstrate that the low frequencies [0-3000]Hz are more relevant for dysphonia discrimination compared with higher frequencies.

引用

页码：1789 / +

页数：2

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