What might an unsupervised autoregressive transformer learn about chord syntax in chorale-
style WesternEuropean-style chord progressions? In this paper, we implement a novel chord …

Artificial intelligence (AI) deployed for customer relationship management (CRM), digital
rights management (DRM), content recommendation, and content generation challenge …

Pitch and meter are two fundamental music features for symbolic music generation tasks,
where researchers usually choose different encoding methods depending on specific goals …

Abstract Wolfgang Amadeus Mozart is a very well-known classical music composer. It
doesn't matter whether you are a classical music enthusiast or just a casual listener. You …

In this paper, we apply persistent homology, one of the main tools in Topological Data
Analysis, to the study of harmonic complexity of musical pieces. A directed weighted graph …

This dissertation on data-driven music theory is centered around curatorial practices
concerning the creation, publication, and evaluation of large, expert-annotated symbolic …

Large-scale studies of musical harmony are often hampered by lack of suitably labelled
data. It would be highly advantageous if an algorithm were able to autonomously describe …