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 …

Symbolic music datasets are important for music information retrieval and musical analysis.
However, there is a lack of large-scale symbolic datasets for classical piano music. In this …

The original edition of The Geometry of Musical Rhythm was the first book to provide a
systematic and accessible computational geometric analysis of the musical rhythms of the …

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 …

Mobile dating apps have become a popular means to meet potential partners. Although
several exist, one recent addition stands out amongst all others. Tinder presents its users …

Optical Music Recognition is a field of research that investigates how to computationally
decode music notation from images. Despite the efforts made so far, there are hardly any …

Optical Music Recognition (OMR) promises to make accessible the content of large amounts
of musical documents, an important component of cultural heritage. However, the field does …

This book provides a summary of the manifold audio-and web-based approaches to music
information retrieval (MIR) research. In contrast to other books dealing solely with music …

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 …

The recognition of patterns that have a time dependency is common in areas like speech
recognition or natural language processing. The equivalent situation in image analysis is …