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20202026
most citedFoundation Models for Music: A Survey

8 citations · 31 across the 9 of their papers we have counts for

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cs.IR2024

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…

cs.CV2024

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…

cs.CV2024★ 4 cited

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…

cs.IR2024

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…

cs.SD2024★ 8 cited

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…