8 citations · 31 across the 9 of their papers we have counts for
6 papers · 1 filter
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…
Synthesising Handwritten Music with GANs: A Comprehensive Evaluation of CycleWGAN, ProGAN, and DCGAN
Elona Shatri, Kalikidhar Palavala, George Fazekas
The generation of handwritten music sheets is a crucial step toward enhancing Optical Music Recognition (OMR) systems, which rely on large and diverse datasets for optimal performa…
Proceedings of the 6th International Workshop on Reading Music Systems
Jorge Calvo-Zaragoza, Alexander Pacha, Elona Shatri
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…
Proceedings of the 5th International Workshop on Reading Music Systems
Jorge Calvo-Zaragoza, Alexander Pacha, Elona Shatri
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…
Proceedings of the 4th International Workshop on Reading Music Systems
Jorge Calvo-Zaragoza, Alexander Pacha, Elona Shatri
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…
Optical Music Recognition: State of the Art and Major Challenges
Elona Shatri, György Fazekas
Optical Music Recognition (OMR) is concerned with transcribing sheet music into a machine-readable format. The transcribed copy should allow musicians to compose, play and edit mus…