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From local kernels to global form: modeling the emergence of musical content
Markov models are established tools for symbolic music, including non-homogeneous formulations. The narrower contribution examined here is an observation-driven estimation mechanism: overlapping sliding windows derive a trajectory of local transition kernels from one symbolic sequence rather than from an exogenous formal partition. We test this mechanism on 273 logical note events from Debussy's Syrinx (1913), using the often-proposed A-B-A' reading as a reference rather than ground truth. We apply the same validation to absolute-pitch and notated-duration kernels. At $L=6$, both reference bou
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-08-25T15:03:45.000Z
First collected: 2026-09-21T10:02:02.728Z. This is not the publication date.