The comparison of world music cultures has been a recurring topic in the field of musicology
since the end of the nineteenth century. Recent advances in technology in the field of Music …

Much work is focused upon music genre recognition (MGR) from audio recordings, symbolic
data, and other modalities. While reviews have been written of some of this work before, no …

This paper addresses current chances and challenges in computational musicology.
Computational musicology is a genuinely interdisciplinary research area that requires the …

Comparing groups in data is a common theme in corpus-level music analysis and in
exploratory data mining. Contrast patterns describe significant differences between groups …

The paper presents two vital aspects of the EthnoMuse digital library. We first present the
development of a flexible data model through FRBRoo and CIDOC CRM conceptualization …

We describe a computational method derived from self organizing map** and
multidimensional scaling algorithms for automatic classification and visual clustering of large …

This special issue of the Journal of Mathematics and Music addresses the topic of
computational music analysis. It arose from a series of two international workshops on the …

The goal of music information retrieval (MIR) is to develop novel strategies and techniques
for organizing, exploring, accessing, and understanding music data in an efficient manner …

This paper demonstrates how association rule mining can be applied to discover relations
between two ontologies of folk music: a genre and a region ontology. Genre–region …

Throughout history, there has consistently existed a period of time and spatial separation
between the creation of new knowledge and technology and their adaptation for widespread …