8 citations · 31 across the 9 of their papers we have counts for
10 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…
Low-Data Classification of Historical Music Manuscripts: A Few-Shot Learning Approach
Elona Shatri, Daniel Raymond, George Fazekas
In this paper, we explore the intersection of technology and cultural preservation by developing a self-supervised learning framework for the classification of musical symbols in h…
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…
Knowledge Discovery in Optical Music Recognition: Enhancing Information Retrieval with Instance Segmentation
Elona Shatri, George Fazekas
Optical Music Recognition (OMR) automates the transcription of musical notation from images into machine-readable formats like MusicXML, MEI, or MIDI, significantly reducing the co…
Foundation Models for Music: A Survey
Yinghao Ma, Anders Øland, Anton Ragni +39
In recent years, foundation models (FMs) such as large language models (LLMs) and latent diffusion models (LDMs) have profoundly impacted diverse sectors, including music. This com…
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…
DoReMi: First glance at a universal OMR dataset
Elona Shatri, György Fazekas
The main challenges of Optical Music Recognition (OMR) come from the nature of written music, its complexity and the difficulty of finding an appropriate data representation. This…
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…