From Image to Music Language: A Two-Stage Structure Decoding Approach for Complex Polyphonic OMR
We propose a new approach for a practical two-stage Optical Music Recognition (OMR) pipeline, with a particular focus on its second stage. Given symbol and event candidates from the visual pipeline, we decode them into an editable, verifiable, and exportable score structure. We focus on complex polyphonic staff notation, especially piano scores, where voice separation and intra-measure timing are the main bottlenecks. Our approach formulates second-stage decoding as a structure decoding problem and uses topology recognition with probability-guided search (BeadSolver) as its core method. We also describe a data strategy that combines procedural generation with recognition-feedback annotati...
| Authors | Nan Xu, Shiheng Li, Shengchao Hou |
|---|---|
| Primary category | cs.SD |
| Published | 22 April 2026 |
| Last updated at source | 30 April 2026 |
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