PhD defence: Repetition sans Ennui - Human and Algorithmic Discovery of Patterns in Music

to

This dissertation delves into the challenge of discovering musical patterns, a task engaging both humans and algorithms, using functional programming (FP). This research has important implications in Music Information Retrieval (MIR) and artificial intelligence (AI). It focuses on comparing human-annotated patterns with those identified by algorithms. The aim is to compare different algorithms and understand human-annotated patterns in music, bridging the gap between human and algorithmic pattern discovery.

The study introduces innovative methods to enhance understanding of musical patterns and the algorithms used in their discovery. Moreover, a Haskell library, Pattrans, has been developed to compare musical pattern occurrences through musical transformations. These contributions are valuable for their potential to improve music analysis tools, influence computational technology, and encourage interdisciplinary research, offering a more comprehensive understanding of musical patterns and their variations.

Start date and time
End date and time
Location
Academiegebouw, Domplein 29 & online (livestream link)
PhD candidate
Y. Ren
Dissertation
Repetition sans Ennui - Human and Algorithmic Discovery of Patterns in Music
PhD supervisor(s)
prof. dr. R.C. Veltkamp
prof. dr. G.K. Keller
prof. dr. A. Volk
Co-supervisor(s)
dr. W.S. Swierstra