Simulation of e-learning in vocal network teaching experience system based on intelligent Internet of things technology

Abstract

With the rapid development of smart Internet of Things technology, education is also starting to use this technology to improve the learning experience. As an art subject, vocal music teaching has many limitations in the traditional face-to-face teaching methods, and e-learning provides new possibilities for vocal music network teaching. We analyze the problems and challenges existing in the traditional face-to-face mode of vocal music teaching, and then based on the intelligent Internet of Things technology, we design a vocal music network teaching experience system. The system combines sound acquisition equipment, intelligent audio processing algorithm, virtual classroom and other technologies to realize the simulation experience of online vocal music teaching. We have developed an intelligent audio processing algorithm for analyzing and processing students’ singing sounds. This algorithm can detect problems in tone, timbre, rhythm, and more, and provide real-time feedback and advice. In this way, students can understand the shortcomings of their own singing skills, and make timely adjustments and improvements. This study shows that e-learning based on intelligent Internet of Things technology has important application value in vocal music network teaching. By simulating the classroom environment and providing real-time feedback, students can obtain a better learning experience and improve their vocal skills.