{"ID":5438788,"CreatedAt":"2026-07-01T01:17:58.482524686Z","UpdatedAt":"2026-07-03T10:18:46.416236719Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2606.31454","arxiv_id":"2606.31454","title":"Towards a foundational model for recognising diastematic Gregorian notation","abstract":"Optical recognition of Gregorian notation has recently been attempted with end-to-end methods, with four datasets introduced. However, each of these datasets is in a different encoding. We design a common encoding based on the S-GABC proposal, convert all four datasets to this common encoding, and train a shared end-to-end foundational model for diastematic Gregorian notation that establishes a new state of the art across all four datasets.","short_abstract":"Optical recognition of Gregorian notation has recently been attempted with end-to-end methods, with four datasets introduced. However, each of these datasets is in a different encoding. We design a common encoding based on the S-GABC proposal, convert all four datasets to this common encoding, and train a shared end-to...","url_abs":"https://arxiv.org/abs/2606.31454","url_pdf":"https://arxiv.org/pdf/2606.31454v1","authors":"[\"Daniel Kurek\",\"Jan Hajič\"]","published":"2026-06-30T10:26:32Z","proceeding":"cs.CV","tasks":"[\"cs.CV\",\"cs.DL\"]","methods":"[]","has_code":false}