Music's Affective Computing Model Based on Fuzzy Logic
Tao Liu, Bin Zhu, Shouqian Sun, Cheng Yang
- Year
- 2006
- Citations
- 5
Abstract
Music's affective computing model is an important research hotspot in computer music, which can be widely used in intelligent control, multimedia retrieval, human-machine interaction and entertainment robot. On the basis of analyzing the features of music' emotion connotation and its relation with basic audial elements, this paper brings forward some rules on music affective computing, and then constructs the architecture of music's emotion linguistic variable and defines the emotion based on fuzzy logic and Hevner's emotion loop. Afterwards, the paper illustrates the lens model of emotional communication and its utilization in fuzzy reasoning. Lastly, research on emotion recognition of music is described based on the affective computing model
Keywords
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