Heterogeneous Digital Music Generation Techniques Incorporating Fine-Grained Controls

作者：Qiaomei Ma · 发表于：HighTech and Innovation Journal · 年份：2026 · DOI：10.28991/hij-2026-07-01-014 · 研究领域：Music Technology and Sound Studies、Diverse Interdisciplinary Research Innovations、Music and Audio Processing

Aiming at the problem of insufficient note-level attribute modulation and the difficulty of fusion of cross-genre musical elements, the study proposes a hierarchical conditional embedding mechanism and a symbolic feature conditional diffusion method. Through the dynamic gated fusion of note-structure and adaptive acoustic modulation guided by symbols, it optimizes the millisecond precision generation of melodic rhythm and the synergistic control efficiency of high-fidelity audio synthesis. This enables fine-grained controlled generation of cross-cultural heterogeneous music. The experimental results indicated that the model achieved 96.2% note localization accuracy in cross-cultural scenarios, which was 12.8% higher than the benchmark. The minimum value of beat synchronization deviation was 1.7 ms, which was 52.9% lower than the optimal comparison model. The average value of polyphony duration was 70.6%, an improvement of 9.8%. Differential scale fusion reached 12.5 tone level, breaking through the limit of twelve equal temperament. The peak memory occupation was 198.3 MB, and the energy consumption of a single song was as low as 0.142 kWh, reducing energy consumption by 29.4% compared with the traditional solution. The professional composition evaluation revealed that the cultural coordination degree of the heterogeneous style fusion fragment was 92.1%. The real-time generation delay stabilized at 2.8 ms, and the generation quality improved by 38.7% compared to the industria...