Design of Music Style Classification Teaching System based on BP Neural Network

At present, computers have been widely used in various fields of social life, bringing many conveniences to people's production and life, and have become indispensable and important objects in people's lives. The BP neural network is a multi-layer neural network composed of an input layer, multiple hidden layers, and an output layer. It can connect neurons of different levels and connect them with weights based on their weights. The purpose of this article is to design a music style classification teaching system based on BP neural network. This article mainly uses BP neural network to construct a music style classification teaching system, and then designs a music style classification teaching system by improving the main melody extraction algorithm. The experimental results show that the test results of rock music are not very accurate. The recognition rates of other styles of music are dance 91.78%, folk music 87.24%, jazz 89.25%, lyrical 94.28% and classical 87.84%. The overall recognition rate is still relatively high. On the whole, the system designed in this paper can basically satisfy the use of music recognition.