Design And Implementation Of Content Service Oriented Audio Sharing Platform

In the current era of the internet,the development of short and long video platforms is growing rapidly.Many people hardly watch television anymore and instead,browsing online videos(i.e.,streaming videos)in their leisure time may be a better choice for them.However,content providers(i.e.,content creators)of current video platforms face a difficult situation in producing video content: finding suitable music that matches the content is a tedious task,and the use of music also raises issues such as audio copyright infringement.Therefore,the purpose of this study is to design an audio sharing platform based on the Django framework,which provides content creators with a good audio sharing environment and an intelligent original music generation function based on chord adjacency detection to solve problems such as music selection and music copyright.The main work of this paper is as follows:(1)Design a complete set of audio sharing platform based on the Django framework.This allows users to log in and register,collect,download,and upload audio,communicate and comment,browse recommended audio information,and use one-click intelligent music generation functions.(2)Design an "intelligent music generation" model based on music theory knowledge,establish data structures related to note melody,note intensity,and note time series,generate music note melodies based on random sampling and random walks,detect chord adjacency,and design corresponding web pages based on HTML+Java Script+CSS.This allows users to directly generate music with one click on the page.The music generated by this model can be visualized in the frontend,allowing users to browse audio-related information clearly at a glance.After generating music,users can download the WAV lossless audio of the music.(3)Design a hybrid recommendation model for music users,which mixes user-based collaborative filtering recommendations and audio keyword content-based recommendations.(4)Conduct relevant tests on the front-end and back-end functional modules of the system.Eventually,all tests passed,and the system can work stably and normally.