【文件属性】：
文件名称：EmotionRecognition
文件大小：116KB
文件格式：PDF
更新时间：2011-10-15 08:01:08
EmotionRecognition
The paper describes agents for emotion recognition in
speech and their application to a real world problem. The
agents can recognized five emotional states with the
following accuracy: normal or unemotional state - 55-75%,
happiness - 60-70%, anger - 70-80%, sadness - 75-85%, and
fear - 35-55%. The total average accuracy is about 70%.
The agents can be adapted to a particular environment
depending on parameters of speech signal and the number
of target emotions. For a practical application an agent has
been created that is able to analyze telephone quality speech
signal and distinguish between two emotional states
("agitation" which includes anger, happiness and fear, and
"calm" which includes normal state and sadness) with the
accuracy 77%. The agent was used as a part of a decision
support system for prioritizing voice messages and
assigning a proper human agent to response the message at
call center environment.