Application of Intelligent Detection Technology and Machine Learning Algorithm in Music Intelligent System

Abstract

AbstractIn recent years, intelligent detection technology and machine learning algorithms have been widely used in various fields. Music is an important part of people's entertainment life and an important way to relax. The music field is combined with it, and the derived music intelligent system is loved by more and more users. The purpose of this article is to study the application of intelligent detection technology and machine learning algorithms in music intelligent systems. This article applies intelligent detection technology and machine learning algorithms to the music intelligent system. First, the overall framework of the system is designed, and people's functional and non-functional requirements for the music intelligent system are analyzed. Then according to the function of the system, it is divided into four modules: data processing, music learning, song recommendation module, and login and registration. The system modules are introduced in detail, and the functions of the system are tested. Experimental data shows that when the number of users is 20, 50, 100, 150, the success rate of user access is 100%, and the average response time is 1.46 s, 3.83 s, 1020 s, and 13.24 s, respectively. It can be seen that the system can basically provide services normally, and the non-functional test of the system has reached the target plan.KeywordsMusic retrievalMachine learningIntelligent music systemNeural network