Under the trend of rapid development and popularization of modern computer technology and information technology, the field of music education has also penetrated and integrated advanced computer technology and information technology. As an important branch of computer science, artificial intelligence involves many cross-cutting comprehensive subject content. As an indispensable part of our life, music is an art that reflects the emotions of human real life, and it is an ideology older than language. The rapid development of technology has injected many new elements into music, gradually changing the way people write, perform, produce, and enjoy music. The Internet has injected new elements and content into music education. It has transformed the original methods of writing, performing, producing, and appreciating music education and has had a great impact on music education concepts and teaching models. The future development trend of music education makes music education reach a new height under the application of artificial intelligence technology. Based on the current research results at home and abroad, this thesis closely integrates music theory and computational methods and advocates the comprehensive application of music theory, cognitive psychology, music cognition, neuroscience, artificial intelligence, signal processing, and other theories to solve music problems. Signal analysis identifies problems. In-depth discussion of the possibility and development trend of artificial intelligence technology applied to music education.