Ríos-Vila, Antonio
Rotations Are All You Need: A Generic Method For End-To-End Optical Music Recognition
Ríos-Vila, Antonio. “Rotations Are All You Need: A Generic Method For End-To-End Optical Music Recognition”. In: Calvo-Zaragoza, Jorge; Pacha, Alexander; Shatri, Elona (Eds.). Proceedings of the 5th International Workshop on Reading Music Systems: 4th November, 2023, Milan, Italy, pp. 34-38
URI: http://hdl.handle.net/10045/138493
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Abstract: 
End-to-end Optical Music Recognition traditionally involves multi-step processes to address complex documents, where single stave isolation is performed. These state-of-the art methods often fall short in handling diverse music textures, such as polyphony or Aligned Music Notation and Lyrics Transcription (AMNLT). We introduce a generic end-to-end OMR approach compatible with monophonic, polyphonic, and AMNLT systems. By leveraging score rotations and multi-line transcription unfolding, this model only requires input system annotations during training. Experimental evidence suggests this approach offers a competitive solution with encouraging outcomes, paving the way for future end-to-end music transcription research.
Keywords:Optical Music Recognition, Monophonic Scores, Polyphonic Scores, Aligned Music Notation & Lyrics Transcription, Score Unfolding, Rotations
International Workshop on Reading Music Systems
info:eu-repo/semantics/conferenceObject