Analysis of Vocal Music Teaching in University Based on Artificial Intelligence

Abstract

With the increasing development of electronic computer information technology, concepts such as intelligent networking and big data have been introduced one after another. In this study, With the help of python tools, this paper explores optimization strategies for vocal music teaching based on machine learning, such as using convolutional neural network (CNN) and long short-term memory network (LSTM) to process and analyze audio data, and classifying and sentiment analysis of students' feedback through natural language processing technology. This article introduces the concept of artificial intelligence and its relationship with vocal music teaching. From the perspectives of intelligent teaching equipment, archival textbook materials, and auxiliary training methods, it aims to provide new ideas and development directions for the integration of artificial intelligence into vocal music teaching in universities.