Speech emotion recognition in web based service

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.