Abstract

To improve the demand pressure of traditional music on space, music equipment, and funds in the teaching mode, this study presents a music education model based on the model view controller (MVC) framework structure based on AI technology; the model optimizes traditional music education by intelligent adjustment of computational audio and three-frequency equalizer, through the integration of artificial intelligence and music education; seven feasible explorations are put forward; and its effects and the value and future development trend of artificial intelligence in music education were also analyzed. Subsequently, the bivariate t-test was used to check and accept the teaching effect of the implemented music education classroom, and teacher and parent satisfaction with music education in the AI background was compared. The results show that, compared with traditional teaching models, music education based on AI background has high satisfaction among students, teachers, and parents. This study lays a solid foundation for the future integration of music education and intelligent technology, and the investment of artificial intelligence can effectively expand the popularization of high-quality music education, thus expanding the level of universal music education in China, improving the national music literacy, and providing valuable development ideas for the research of artificial intelligence technology in other teaching fields.

Highlights

  • Deng mentioned in the article the source of artificial intelligence traced back to the 1950s, and artificial intelligence is a kind of using digital computer or using digital computer control machinery, imitates, replaces, and expands human behavior activities of intelligent technology and external environment, understands knowledge, and uses it to obtain the best scheme theory, scheme, technology, and application system [1]

  • With the rapid development of computer hardware and the continuous update of intelligent algorithms, artificial intelligence technology can realize audio recognition, image recognition, language recognition, natural language processing, and other functions and can be widely used in education, medical care, security, and many other fields. Wenhui said that this smart technology is likely to be applied to music education, it may have a big impact on traditional music education, and it is likely to cause a new trend of [2] in the field

  • Cao and Qi mentioned that AI technology was initially introduced into music classes in the 1960s, represented by simple music synthesizers, which store the timbre of various instruments and can play [3]at any time

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Summary

Introduction

Deng mentioned in the article the source of artificial intelligence traced back to the 1950s, and artificial intelligence is a kind of using digital computer or using digital computer control machinery, imitates, replaces, and expands human behavior activities of intelligent technology and external environment, understands knowledge, and uses it to obtain the best scheme theory, scheme, technology, and application system [1]. With the rapid development of computer hardware and the continuous update of intelligent algorithms, artificial intelligence technology can realize audio recognition, image recognition, language recognition, natural language processing, and other functions and can be widely used in education, medical care, security, and many other fields. Wenhui said that this smart technology is likely to be applied to music education, it may have a big impact on traditional music education, and it is likely to cause a new trend of [2] in the field. Mobile Information Systems efficient, more intelligent, and humanized synthetic musical instruments, and the upgrading of these musical instruments presents the characteristics of being more convenient, intelligent, and perfect. e application of scientific and technological means in the music field has laid the foundation for the creation of new works, while providing a new direction and teaching thinking for music educators

Application of AI Technology in Music Education
Findings
Bivariate t-Calibration Algorithm
Full Text
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