Multi-track symbolic music generation algorithm based on diffusion model and music structure constraints

When generating symbolic music, people sometimes encounter problems such as unclear structure or mismatch between tracks.Accordingly, this study proposes a multi-track symbolic music generation method to solve the problems of melodic fragmentation, uneven rhythm, and multi-track conflicts in traditional music generation.Experiments on several music datasets show that compared with other benchmark music generation models, the generated music has a pitch class histogram similarity of 0.91 and a pitch distance of 1.28.The expert evaluation report shows that the structural consistency score is 4.52, and the melody fluency score is 4.56.The synchronisation rate of multi-track rhythm reaches 92%.These findings show that the introduction of structural constraints and cross-track cooperation is effective and can generate more logical and coherent music.This study verifies the feasibility of diffusion model in the generation of symbolic music, and provides a practical multi-track composition method for researchers in other music-related fields.