Emotion recognition in speech using neural networks

被引：0
|
作者：
Nicholson, J [1 ]
Takahashi, K [1 ]
Nakatsu, R [1 ]
机构：
[1] ATR Media Integrat & Commun Res Labs, Kyoto 6190288, Japan
来源：
AFFECTIVE MINDS | 2000年
关键词：
emotion; recognition; neural network; speech; consciously expressed emotion; speaker independence; context independence;
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：
Emotion recognition in speech is a topic on which little research has been done to date. In this paper, we discuss why emotion recognition in speech is an interesting and important research topic and present a system for emotion recognition using one-class-in-one neural networks. By using a large database of phoneme balanced words, our system is speaker- and context-independent. We achieve a recognition rate of approximately 50% when testing eight emotions.
引用
收藏
页码：215 / 220
页数：6
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