Abstract
With the development of multimedia technology, research on music is getting more and more popular. Nowadays researchers focus on studying the relationship between music and listeners' emotions but they didn't consider users' differences. Therefore, we propose a Personalized Music Emotion Prediction (P-MEP) System to assist predicting listeners' music emotion concerning with users' differences. To analyze listeners' emotional response to music, the P-MEP rules will be generated in the analysis procedure consisting of S phases. During the application procedure, the P-MEP System predicts the new listener's emotional response to music. The result of the experiment shows that the generated P-MEP rules can be used to predict emotional response to music concerning with listeners' differences. © Springer-Verlag Berlin Heidelberg 2006.
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CITATION STYLE
Yeh, C. C., Tseng, S. S., Tsai, P. C., & Weng, J. F. (2006). Building a personalized music emotion prediction system. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4261 LNCS, pp. 730–739). Springer Verlag. https://doi.org/10.1007/11922162_84
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