Cornelissen
Why do humans make music, and how do they do it? Why are we a musical species? These are the questions that motivate my research. I use computational methods to study how musical traditions differ. Mapping the diversity of musics across the globe, is a key step in understanding the cultural evolution of musics.
I am a PhD student with Jelle Zuidema and John Ashley Burgoyne at the Institute for Logic, Language and Computation, University of Amsterdam and member of the clclab and the Music Cognition Group. Before that I finished the bachelor Bèta-gamma and the Master of Logic at the same university, both with a major in mathematics.
Updates
Guest lecture on the evolution of music(ality) in the course 'Evolution: Culture and Human nature' at University College Utrecht.
Today I presented our paper 'Cosine Contours' at ISMIR 2021.
Poster presentation 'Modes as modes' on the Analytical Approaches to World Music conference.
Finally, after postponing several times, I gave a Cool Logic talk today on a very funny project: I wrote an algorithm to recompose Summa by Arvo Pärt.
I gave a presentation at SysMus21 on Catafolk, a project in which we attempt to catalogue folk music datasets.
Poster presentation at the LOCOMUS meeting on Huron's contour typology.
Selected work
Fun fact: the principal components of melodies are cosines. We explain this observation and propose to represent melodic contour as a combination of cosine functions using the discrete cosine transform.
We present chant21, a Python package to support the plainchant formats gabc and Volpiano in music21 and two large corpora of plainchant. In two case studies we analyze the melodic arch and the connections between antiphons and differentiae.
We present a highly accurate model of mode classification in plainchant that also reveals the importance of natural units.
My master's thesis proposes a Bayesian Language Game that incorporates two main branches of agent-based models as its extremes: iterated learning and naming games.