Ríos-Vila, Antonio, Iñesta, José M., Calvo-Zaragoza, Jorge
End-To-End Full-Page Optical Music Recognition of Monophonic Documents via Score Unfolding
Ríos-Vila, Antonio; Iñesta, José M.; Calvo-Zaragoza, Jorge. “End-To-End Full-Page Optical Music Recognition of Monophonic Documents via Score Unfolding”. In: Calvo-Zaragoza, Jorge; Pacha, Alexander; Shatri, Elona (Eds.). Proceedings of the 4th International Workshop on Reading Music Systems, 18th November, 2022, pp. 20-24
URI: http://hdl.handle.net/10045/130018
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Abstract: 
Full Page Optical Music Recognition (OMR) systems typically consist of multi-step workflows. However, the fine-tuning of these systems tends to be costly. We present the first layout analysis-free full-page OMR model that receives a page image and directly outputs its transcription in a single step. This model requires only the annotations of full score pages during training. The model has been tested with early-notation monophonic music scores, for which the presented approach is especially beneficial. Results show that this methodology provides a solution with promising results and establishes a new line of research for end-to-end music transcription.
Keywords:Optical Music Recognition, Full Page, Monophonic Documents, Score Unfolding
Workshop on Reading Music Systems
info:eu-repo/semantics/conferenceObject