Music Classification Model Based on Feature Fusion
Zhi qi Zhao · 2019
Since the use of single feature is difficult to establish the satisfied music classification model,a music classification model based on BP neural network is proposed to help users to find their favorite music. The music characteristics with multiple types are extracted to describe the music information accurately. The characteristics are combined as the input vector of the music classification model,and the intelligent learning of BP neural network is adopted to establish the music classification model.The multimusic classification experiment was carried out on Matlab 2016 platform. The results show that the model can over-come the limitations of the single feature providing simple information, improve the classification accuracy of the music,has perfect realtime performance of music classification,and is used to study the music retrieval on the network.