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Conference Paper

Computational models of temporal expectations


Fink,  Lauren
Department of Music, Max Planck Institute for Empirical Aesthetics, Max Planck Society;
Max Planck – NYU Center for Language, Music, and Emotion (CLaME);

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Fink, L. (2021). Computational models of temporal expectations. In J. Albrecht, L. Warrenburg, L. Reymore, & D. Shanahan (Eds.), Proceedings of the Future Directions of Music Cognition International Conference (pp. 208-213). Columbus, OH: Ohio State University. Libraries. doi:10.18061/FDMC.2021.0041.

Cite as: https://hdl.handle.net/21.11116/0000-000B-2DFD-7
With Western, tonal music, the expectedness of any given note or chord can be estimated using various methodologies, from perceptual distance to information content. However, in the realm of rhythm and meter, the same sort of predictive capability is lacking. To date, most computational models have focused on predicting meter (a global cognitive framework for listening), rather than fluctuations in metric attention or expectations at each moment in time. This theoretical contribution reviews existing models, noting current capabilities and outlining necessities for future work.