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Web of Proceedings - Francis Academic Press

Personal Music Emotion Analysis Based on BP Neural Model

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DOI: 10.25236/iceeecs.2018.058


Wen Yaxin

Corresponding Author

Wen Yaxin


Music as an art is an indispensable part of human life. From ancient times to the present, music has always been a special channel for humans to express their emotions with rich expression style and delicate emotional classifications. Thus, the emotional analysis of music has become an important issue. With the advent of the information age, the analysis of musical emotions through computers has begun to enter people's horizons. Music emotion analysis model can be generally divided into three parts, music feature model, music emotion model and classification cognitive model. The music feature model consists of features extracted from music. This paper proposes some new features. The emotional model mainly describes the classification of emotions. The BP neural network model is selected for this classification cognitive model.


Music emotion analysis, BP neural network, music feature model.