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
收藏
页码：1789 / +
页数：2
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