Affective computing
An enhanced speech emotion recognition system based on discourse information
ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part I
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Affective database plays an important role in the process of affective computing which has been an attractive field of AI research. Based on analyzing current databases, a Chinese affective database (CHAD) is designed and established for seven emotion states: neutral, happy, sad, fear, angry, surprise and disgust. Instead of choosing the personal suggestion method, audiovisual materials are collected in four ways including three types of laboratory recording and movies. Broadcast programmes are also included as source of vocal corpus. By comparison of the five sources two points are gained. First, although broadcast programmes get the best performance in listening experiment, there are still problems as copyright, lacking visual information and can not represent the characteristics of speech in daily life. Second, laboratory recording using sentences with appropriately emotional content is an outstanding source of materials which has a comparable performance with broadcasts.