Analysis and Innovation of Vocal Music Teaching Quality in Colleges and Universities Based on Artificial Intelligence

Abstract

The collision between the field of education and the field of artificial intelligence has helped the wisdom reform of college classrooms. At present, traditional vocal music teaching is inefficient and difficult to manage, but it is faced with the dilemma of resource shortage. Therefore, to improve the quality of classroom vocal music teaching in colleges and universities, using innovative thinking, this paper intends to design an artificial intelligence system for evaluating and analyzing classroom effects. Use the test vocal music characteristic parameters for comparison, through the analytic hierarchy process to calculate the quality of the classroom teaching evaluation index, and auxiliary management of the vocal music teaching process. The final simulation results are in line with expectations. It can not only evaluate the whole teaching process reasonably but also help teachers improve the quality of vocal music teaching, which has strong practical value.