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Practical End-to-End Optical Music Recognition for Pianoform Music
March 21, 2024, 4:46 a.m. | Ji\v{r}\'i Mayer, Milan Straka, Jan Haji\v{c} jr., Pavel Pecina
cs.CV updates on arXiv.org arxiv.org
Abstract: The majority of recent progress in Optical Music Recognition (OMR) has been achieved with Deep Learning methods, especially models following the end-to-end paradigm, reading input images and producing a linear sequence of tokens. Unfortunately, many music scores, especially piano music, cannot be easily converted to a linear sequence. This has led OMR researchers to use custom linearized encodings, instead of broadly accepted structured formats for music notation. Their diversity makes it difficult to compare the …
abstract arxiv cs.cv deep learning images linear music optical paradigm practical progress reading recognition the end tokens type
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