For over 50 years, researchers have been trying to teach computers to read music notation,
referred to as Optical Music Recognition (OMR). However, this field is still difficult to access …

For centuries, music has been shared and remembered by two traditions: aural transmission
and in the form of written documents normally called musical scores. Many of these scores …

Abstract Optical Music Recognition (OMR) is the branch of document image analysis that
aims to convert images of musical scores into a computer-readable format. Despite decades …

Optical Music Recognition (OMR) is an important technology within Music Information
Retrieval. Deep learning models show promising results on OMR tasks, but symbol-level …

Despite decades of research in Optical Music Recognition (OMR), the recognition of old
handwritten music scores remains a challenge because of the variabilities in the handwriting …

During the last decades, the performance of optical music recognition has been increasingly
improving. However, and despite the 2-dimensional nature of music notation (eg notes have …

With the development of more and more sophisticated Music Information Retrieval
approaches, aspects of adaptivity are becoming an increasingly important research topic …

For more than a decade, music information science and musicology have been at what
Nicholas Cook has described as a'moment of opportunity'for collaboration on database …

Optical music recognition (OMR) applications are predominantly designed for common
music notation and as such, are inherently incapable of adapting to specialized notation …

We propose a human-driven Optical Music Recognition (OMR) system that creates symbolic
music data from common Western notation scores. Despite decades of development, OMR …