Exploring the benefits of discretization of acoustic features for speech emotion recognition

被引：0
|
作者：
Vogt, Thurid [1 ]
Andre, Elisabeth [1 ]
机构：
[1] Univ Augsburg, D-8900 Augsburg, Germany
来源：
INTERSPEECH 2009: 10TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION 2009, VOLS 1-5 | 2009年
关键词：
speech emotion recognition; discretization of features;
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：
We present a contribution to the Open Performance sub-challenge of the INTERSPEECH 2009 Emotion Challenge. We evaluate the feature extraction and classifier of EmoVoice, our framework for real-time emotion recognition from voice on the challenge database and achieve competitive results. Furthermore, we explore the benefits of discretizing numeric acoustic features and find it beneficial in a multi-class task.
引用
收藏
页码：348 / 351
页数：4
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