The relevance of voice quality features in speaker independent emotion recognition

被引：0
|
作者：
Lugger, Marko [1 ]
Yang, Bin [1 ]
机构：
[1] Univ Stuttgart, Chair Syst Theory & Signal Proc, D-7000 Stuttgart, Germany
来源：
2007 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOL IV, PTS 1-3 | 2007年
关键词：
speech analysis; feature extraction; pattern classification;
D O I：
暂无
中图分类号：
O42 [声学];
学科分类号：
070206 ; 082403 ;
摘要：
This paper investigates the classification of different emotional states using prosodic and voice quality information. We want to exploit the usage of different phonation types within the production of emotions. Therefore, as features we use prosodic features, voice quality parameters, and different combinations of both types. We study how prosodic and voice quality features overlap or complement each other in the application of emotion recognition. The classification is speaker independent and uses a reduced subset of 8 features and a Bayesian classifier.
引用
收藏
页码：17 / +
页数：2
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