10 citations · 11 across the 6 of their papers we have counts for
8 papers
Data-Driven Glyph Positioning for Handwritten Music Synthesis
Elona Shatri, Jiří Mayer, Jan Hajič
Synthesised data is a common strategy to address the lack of annotated handwritten music scores in Optical Music Recognition (OMR). Smashcima is a recent synthesis framework that a…
Music I Care About: Automated Multimodal Benchmarking of LLM Music Perception Skills on (Almost) Any Music
Tomáš Sourada, Katia Vendrame, Jan Hajič
Music represents a cornerstone of human culture, existing digitally across diverse modalities, including audio, symbolic encodings (e.g., MIDI, MusicXML), and sheet music. Despite…
DEMUN: Fast and accurate discovery of music notation in very large collections
Vojtěch Dvořák, Filip Bím, Jiří Mayer +5
Much of written musical heritage is preserved and digitised at memory institutions: libraries, museums, and archives. Owing to their collection structures, sheet music tends to be…
Optical Music Recognition for Real-World Manuscripts with Synthetic Data
Jiří Mayer, Martina Dvořáková, Vojtěch Dvořák +6
Optical Music Recognition (OMR) has seen major progress in model design, with end-to-end methods now capable of recognising notation at all levels of complexity. However, the impac…
A Dataset for the Recognition of Historical and Handwritten Music Scores in Western Notation
Pau Torras, Jiří Mayer, Carles Badal +7
A large amount of musical heritage has been digitised by memory institutions: libraries, museums, and archives. Nevertheless, the field of Optical Music Recognition (OMR) has strug…
A Systematic Survey of Semantic Role Labeling in the Era of Pretrained Language Models
Huiyao Chen, Meishan Zhang, Jing Li +4
Semantic role labeling (SRL) is a central natural language processing task for understanding predicate-argument structures within texts and enabling downstream applications. Despit…
Practical End-to-End Optical Music Recognition for Pianoform Music
Jiří Mayer, Milan Straka, Jan Hajič +1
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…
Proceedings of the 1st International Workshop on Reading Music Systems
Jorge Calvo-Zaragoza, Jan Hajič, Alexander Pacha
The International Workshop on Reading Music Systems (WoRMS) is a workshop that tries to connect researchers who develop systems for reading music, such as in the field of Optical M…