From Prediction to Collaboration: Interactive Symbolic Music Analysis
Automatic symbolic music analysis has made substantial progress, yet existing systems are typically designed for a single mode of use, such as full-score prediction, and therefore do not match the broader range of operations that arise in analysis workflows, including partial completion, local correction, and iterative refinement. As a result, there remains a gap between strong benchmark models and systems that can support interactive analytical use. We present a unified framework for symbolic Roman-numeral (RN) analysis that narrows this gap by combining strong predictive performance with direct support for constrained completion and revision. The method is designed to provide a practica...
| Authors | Emmanouil Karystinaios, Johannes Hentschel, Markus Neuwirth et al. |
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| Primary category | cs.SD |
| Published | 15 July 2026 |
| Last updated at source | 15 July 2026 |
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