Beam Sidelobe Randomization Method Controlled Based on Non-independent and Identically Distributed Random Variable Model

Abstract

The present invention relates to the technical field of music information processing and discloses an AI aesthetic education system based on folk music gene mining and personalized composition, the system comprising: an acquisition and processing module; a music gene mining module; a gene recombination and generation module, configured to combine, rearrange, and variationally generate music gene units under preset style constraints and coherence constraints, output new melodies, new rhythmic accompaniments, or composite music segments conforming to the target folk music style through a generative model, and perform coherence optimization and style consistency correction on the generated results; an interactive creation module; and an evaluation and feedback module, which generates optimization suggestions based on the evaluation results. The present invention realizes the deep integration of artificial intelligence and folk music aesthetic education.