Ashley Burgoyne
Assistant Professor in Computational Musicology
John Ashley Burgoyne is the Lecturer in Computational Musicology at the University of Amsterdam and a researcher in the Music Cognition Group at the Institute for Logic, Language, and Computation. Cross-appointed in Musicology and Artificial Intelligence, he is interested in understanding musical behaviour at the audio level, using large-scale experiments and audio corpora. His McGill–Billboard corpus of time-aligned chord and structure transcriptions has served as a backbone for audio chord estimation techniques. His ‘Hooked-on Music’ project reached hundreds of thousands of participants in almost every country on Earth while collecting data to understand long-term musical memory. Currently, he is working through the Amsterdam Music Lab to understand what people are hearing – and what they are ignoring – while they stream music every day.
Latest publications
Burgoyne, J. A., & Honing, H. (2024). Rasch models for quantifying the strength of musical memory and the feeling of knowing. https://sites.google.com/york.ac.uk/escom12/home
Corcoran, K., du Mérac, T. R., Johnson, F., Burgoyne, J. A., Honing, H., Ruderfer, D. M., Lense, M., & Gordon, R. L. (2024). Linking a musical memory gamified task to large-scale health data via electronic health records: A feasibility study in a clinic waiting room. https://neuromusic.fondazione-mariani.org
Morris, L. J., Leger, R., Newman, M., Burgoyne, J. A., Groves, R., Mangal, N., & Lee, J. H. (2024). Human-AI music process: A dataset of AI-supported songwriting processes from the AI Song Contest. Proceedings of the 25th International Conference of the Society for Music Information Retrieval.
Vélez Vásquez, M., Pouw, C., Burgoyne, J. A., & Zuidema, W. (2024). Exploring the inner mechanisms of large generative music models. Proceedings of the 25th International Conference of the Society for Music Information Retrieval, 5–14.
Baelemans, M. C. E., Vélez Vásquez, M. A., & Burgoyne, J. A. (2023, October). Defining Playability in Musical Performance: Cognitive Factors and Implications for Automated Song Difficulty Estimation. The 16th International Conference of Students of Systematic Musicology.
Bouwer, F. L., Damsma, A., Burgoyne, J. A., Grahn, J., Slagter, H. A., & Honing, H. (2023). Measuring rhythm and beat perception abilities: a comparison of often-used tests. 688.
Burgoyne, J. A., Baker, D. J., & Honing, H. (2023). What a game can reveal about music perception: A psychometric analysis of the matching pairs game.
Honing, H. (2023b). Unravelling our capacity for music. Open Science Framework.
DOI
10.17605/OSF.IO/YXFV4
Huang, X., Burgoyne, J. A., & Honing, H. (2023). What makes Chinese music memorable to the Chinese? The relationship between familiarity and recognition.
Media attention
FocusJaaroverzicht
Maakt Joost Klein kans op Songfestivalwinst? ‘De top 10 moet lukken’Folia
En wéér staat Bohemian Rhapsody op 1, maar waarom eigenlijk?De Volkskrant
Kunnen we de ‘lijst der lijsten’ wetenschappelijk verklaren?De Volkskrant
De magie van 25x Top 2000NPO3
De Nacht van NTR over AI-muziek en het AI SongfestivalDe Nacht van
Kan AI de winnaar van het Songfestival voorspellen?NPO1
What makes music catchy?University of the Netherlands
Ashley Burgoyne on the science and mystery of listeningILLC Blog
Ashley Burgoyne en Janne Spijkervet over VPRO's AI SongfestivalNPO Radio 1
Students
Kate Schwarz
MSc Brain & Cognitive Sciences, UvA•2024
Ivan Bobrov
MSc Computational Science, UvA•2021
Ada Örken
MSc Brain & Cognitive Sciences, UvA•2021
Lisa Veenstra
MA Music Studies•2020
Henk Jacobs
MA Music Studies•2020
Lars Mangel
MA Music Studies•2020
MSc Artificial Intelligence•2020
Leanne Kuiper
MSc Brain and Cognitive Sciences•2020
Ada Örken
MSc Brain and Cognitive Sciences•2020
Kostas Giannos
MA Music Studies, UvA•2019
MA Music Studies•2019
Sem Dekkers
MA Musicology, UvA•2018
Lucija Fric
MA Musicology, UvA + VU•2018
Joy Huiskens
MA Musicology, UvA•2018
Tiarma Witte
MSc Brain & Cognitive Sciences, UvA•2017
Iza Korsmit
MSc Brain & Cognitive Sciences, UvA•2016
Nelson Mooren
MSc Brain & Cognitive Sciences, UvA•2016
Oisín Ó Cualáin
Master Musicology, UvA•2016
Albertine Holterman
Master Musicology, UvA•2016
Lisanne Bogaard
Master Clinical Psychology, VU•2016
Jurre Thuis
MA Musicology, UvA•2015
Music Cognition Group
The Music Cognition Group is part of the Department of Musicology, the Institute for Logic, Language and Computation, and Amsterdam Brain and Cognition of the University of Amsterdam.
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