Building a personalized music emotion prediction system

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 5 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.