Online Interactive Data Extraction and Intelligent Analysis of College Vocal Music Courses Oriented to Mobile Android Platform

This paper studies the extraction and intelligent analysis of online interactive data of college vocal music courses oriented to mobile Android platforms. First, it understands the traditional learning mode of college bel canto vocal music teaching courses, uses the Internet of Things sensor network to extract data from college vocal music courses, and then based on Neural network algorithms, many-to-one interactive data extraction for the teaching of sight singing, chorus, and music appreciation, all require teachers to use a variety of methods to teach music in a sound and emotional manner.