Abstract：In response to the issue that music-light show control system cannot automatically obtain the required music characteristic information, a kind of rough-emotion model which can be used for music-light performance was presented combined with the traditional Arousal-Valence model. In this model, the Mallat algorithm of wavelet analysis was used to extract comparative items and the ratio of judgment method of strength and rhythm was used to take two "soft-cutting" actions on music. Then the classification of music in the rough-emotion model and the extraction of music characteristic parameters could be achieved by the corresponding production rules of expert system. The simulation results show that the method can effectively classify music clips according to music emotion and extract characteristic elements. Meanwhile, these characteristic elements can satisfy the precision requirement of the music-light show control system on the time domain.
林景栋 王唯 廖孝勇. 音乐粗情感域中的软切割及分类方法[J]. 计算机应用, 2013, 33(08): 2383-2386.
LINJingdong WANG Wei LIAO Xiaoyong. Method for music soft-cutting and classification in rough-emotion area. Journal of Computer Applications, 2013, 33(08): 2383-2386.
2013, Vol. 33 
