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 …

The analysis of music scores has been an active research field in the last decades.
However, there are no publicly available databases of handwritten music scores for the …

There is an increasing interest in the automatic digitization of medieval music documents.
Despite efforts in this field, the detection of the different layers of information on these …

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 …

Music is rhythm, timbre, tones, intensity and performance. Conventional Western Music
Notation (CWMN) is used to generate Music Scores in order to register music on paper …

Musical scores are the central resource for musicological research. Our project, Single
Interface for Music Score Searching and Analysis (SIMSSA), targets digitized music scores …

Optical Music Recognition (OMR) is a branch of artificial intelligence that aims at
automatically recognizing and understanding the content of music scores in images. Several …

Writer Identification is an important task for the automatic processing of documents.
However, the identification of the writer in graphical documents is still challenging. In this …

This paper presents a novel automatic recognition framework for hand-written mensural
music. It takes a scanned manuscript as input and yields as output modern music scores …

The automatic analysis of notated Renaissance music is restricted by a shortfall in codified
repertoire. Thousands of scores have been digitised by music libraries across the world, but …