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.

Recent work

Studying Large Plainchant Corpora Using chant21

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.

Mode Classification and Natural Units in Plainchant

We present a highly accurate model of mode classification in plainchant that also reveals the importance of natural units.

Bayesian Language Games: Unifying and Evaluating Agent-Based Models of Horizontal and Vertical Language Evolution

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.

All output

Cornelissen, B., Zuidema, W., & Burgoyne, J. A. (2021). Musical Modes as Statistical Modes: Classifying Modi in Gregorian Chant. Proceedings of the 6th International Conference on Analytical Approaches to World Music (AAWM 2020).
Cornelissen, B., Zuidema, W., & Burgoyne, J. A. (2020). Studying Large Plainchant Corpora Using chant21. 7th International Conference on Digital Libraries for Musicology, 5. https://doi.org/10.1145/3424911.3425514
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Cornelissen, B., Zuidema, W., & Burgoyne, J. A. (2020). Mode Classification and Natural Units in Plainchant. Proceedings of the 21th International Conference on Music Information Retrieval (ISMIR 2020).
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Cornelissen, B., & Zuidema, W. (2017). Unifying Horizontal and Vertical Interactions in the Bayesian Naming Game. Poster presented at the workshop Minds, Mechanisms, and Interaction in the Evolution of Language.
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Cornelissen, B. (2017). Bayesian Language Games: Unifying and Evaluating Agent-Based Models of Horizontal and Vertical Language Evolution [Master’s thesis]. University of Amsterdam.
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Cornelissen, B., Sadakata, M., & Honing, H. (2016). Categorization in the Speech to Song Transformation (STS). Proceedings of the 14th International Conference on Music Perception and Cognition (ICMPC14), 386.
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Cornelissen, B. (2014). Non-measurable Sets [Bachelor’s thesis]. University of Amsterdam.