Artificial Intelligence-Driven Innovative Research and Educational Practice of Chinese Minority Music Inheritance Model

Abstract

This paper deeply researches the integration of music education and artificial intelligence, focusing on the innovation of Chinese minority music inheritance model and educational practice. Firstly, it focuses on the application potential of artificial intelligence in the field of music education, and proposes an innovative model of Chinese minority music inheritance. Second, the music classification model MGTN and Markov chain-based intelligent composition model are proposed to realize the educational practice of music inheritance model through the intelligent recognition and automatic generation of ethnic music genres. The experimental results show that the correct rate of folk song classification of MGTN model is 85.11%, which is better than other comparative models. Meanwhile, the intelligent composition model proposed in this paper improves the overall subjective comprehensive evaluation index by 14.91%~34.65%, and improves the overall objective comprehensive evaluation index by 0.89~1.47 times, and verifies that the model generates the result as a melody with global structure through the melodic line drawn by using lifted sampling coding, which provides example reference for the inheritance and innovation of the music of Chinese ethnic minorities.