SOURCE-LINKED INTELLIGENCE
ScorePrompts: Natural-Language Exploration of Symbolic Music Scores through Analysis
We present ScorePrompts, an interactive system in which users upload a score, receive natural-language descriptions of its musical structure, ask questions about specific passages, and inspect the corresponding analysis results in staff notation. Specialist MIR components first estimate harmony, tonality, cadences, formal boundaries, texture, and note-level roles, organizing their outputs at note, beat, measure, and piece levels. A schema-constrained language model converts these results into descriptions rather than inferring musical structure directly from raw MusicXML. For questions such as
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-09T11:13:48.000Z
First collected: 2026-09-20T19:32:24.350Z. This is not the publication date.