Music Classification and Identification Based on Convolutional Neural Network

In this article, theoretical analysis and empirical research are combined. At first, the basic principles and applications of CAD and CNN (Convolutional Neural Network) are introduced. Then, how to apply these two technologies to music classification and identification is elaborated in detail, and a modelling and fusion method of music classification and identification is designed. Experiments show that the proposed innovative method is effective in music classification and identification. The performance of the method is evaluated by simulation experiments on different types and styles of music data sets and compared and analyzed with traditional music classification methods. The results show that, compared with the traditional music classification methods, the method proposed in this article can significantly improve the accuracy of music classification under the condition of limited labeled data, And its response speed is fast. The results fully prove the superiority of this method in classification accuracy and provide a new solution for MIR (Music Information Retrieval), recommendation, and other applications. © 2024 U-turn Press LLC.