Speech Emotion Recognition in Web based Service

摘要：

with the rapid development of Internet and the popularization of E-service, kinds of new technology were applied in this area. Aiming at emotion deficiency in present web-based service system, speech emotion recognition system is proposed in the paper. A corpus of emotional speech from various subjects, speaking different languages is collected for developing and testing the feasibility of the system. The potential prosodic features are first identified and extracted from the speech data. Then we introduce a systematic feature selection approach which involves the application of Sequential Forward Selection with a General Regression Neural Network in conjunction with a consistency-based selection method. The selected features are employed as the input to a Modular Neural Network to realize the classification of emotions.

作者: Huang Huiqin Luo Qi Zhu Aiqin

作者单位: School of Business, Ningbo University, Ningbo, 315211, China School of Electrical Engineering, Wuhan Institute of technology, Wuhan 43007 3, China；Department of Department of Information Engineering, Wuhan University of Science and Technology Zhongnan Branch Wu

会议类型: 国际会议

会议名称: 2007年通信、电路与系统国际会议(2007 International Conference on Communications,Circuits and Systems Proceedings)

会议地点: 日本福冈

会议语种:英文

在线出版日期: 2007-07-11（万方平台首次上网日期，不代表论文的发表时间）