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TopAI first appeared in the field of music education in the 1960s. At first, people applied intelligent skill to keyboard instruments and developed electronic keyboard instruments and electronic synthesizers, such as the electronic organ and the keyboard electronic synthesizer. This kind of musical instrument has some intelligent functions and can simulate the timbre of other musical instruments, store fixed melodies and rhythms, and operate simply and quickly. Aiming at the problem of automatic music generation in the field of computer music, this paper proposes a study method of modeling, analyzing, generating, and fusing the basic elements of music relations separately, which is based on the formalization of music rhythm itself. From a scientific point of view, there are many ways for people to acquire knowledge, and the speed of acceptance varies. In past teaching methods, students could only memorize knowledge by hearing, but in multimedia teaching, students can acquire knowledge more quickly and efficiently. In addition, the application of multimedia can also correct and adjust problems in the teaching course. In the past, teachers could only demonstrate and correct students face to face.
In the study, the application of AI to the field of education can indeed bring many benefits, but it will also bring many unprecedented challenges (Xue et al., 2021). Large technology companies such as Apple, Google, and Amazon are also strengthening their music service platforms. In addition, AI speakers such as Amazon Echo are increasingly popular, providing listeners with a new and accessible way to listen to music. Nam et al. (2018) conducted a study a computer’s ability to distinguish between rock music and Bach’s music on the basis of audio-based music classification and deep learning of labeling. Some real characters, such as those of symbolic logic, are used only to promote reasoning. Leibniz proposed that hieroglyphics, Chinese characters, and astronomical and chemical symbols are not real. Through internet research, Zhang (2020) collected 345 questionnaires using AI from experienced music creators in China. The validation of hypotheses identified the decisive factors influencing the acceptance of AI music by Chinese users. The innovation of this study was that it attempted to verify the applicability of UTAUT (Unified Theory of Acceptance and Use of Technology) in the Chinese context. The purpose of this study of AI was to contribute to a better learning environment for students by observing their learning activities. A distributed cognitive theory was proposed. According to this theory, distribution is the nature of cognition, which can occur not only in our mind, but also in the course of communication between people and tools. According to the distributed cognitive theory, cognition can occur in the transmission and transfer between internal representations (such as individual ideas) and external representations (such as information and knowledge represented by computer or paper). In order to overcome the shortcomings of traditional education, this paper constructed a system based on AI algorithms and oral spectrum algorithms.