Generative music composition teaching system based on mobile interaction

Current music composition teaching systems face challenges such as limited resource quality and insufficient real-time interactivity.To address these issues, this paper proposes a generative music composition teaching system based on mobile interaction technology.The system first designs a music teaching resource generation module utilising multi-scale feature filtering, combined with a multi-discriminator structure to enhance the discriminative capability of generated samples.Building upon the generation of rich music teaching resources, this paper introduces an expandable network communication module and an interactive collaboration module supporting bidirectional collaborative control and user state management.Experimental results demonstrate that the designed system achieves a CPU utilisation rate of 43% and a single interaction response time of only 11.8ms.It not only generates high-quality music creation resources but also exhibits outstanding real-time interactive performance, holding significant value for advancing the widespread application of interactive mobile teaching.