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  Computational models of temporal expectations

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.

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Genre: Conference Paper

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mus-21-fin-02-computational.pdf (Publisher version), 266KB
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mus-21-fin-02-computational.pdf
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Copyright Date:
2021
Copyright Info:
Copyright © 2021 Lauren K. Fink

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 Creators:
Fink, Lauren1, 2, Author           
Affiliations:
1Department of Music, Max Planck Institute for Empirical Aesthetics, Max Planck Society, ou_2421696              
2Max Planck – NYU Center for Language, Music, and Emotion (CLaME), New York, USA, ou_persistent22              

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Free keywords: rhythm, meter, percussion, salience, prediction error, novelty, surprise
 Abstract: 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.

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Language(s): eng - English
 Dates: 2021-12-16
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.18061/FDMC.2021.0041
 Degree: -

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Title: Future Directions of Music Cognition
Place of Event: Virtual
Start-/End Date: 2021-03-06 - 2021-03-07

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Title: Proceedings of the Future Directions of Music Cognition International Conference
Source Genre: Proceedings
 Creator(s):
Albrecht, Joshua, Editor
Warrenburg, Lindsey, Editor
Reymore, Lindsey, Editor
Shanahan, Daniel, Editor
Affiliations:
-
Publ. Info: Columbus, OH : Ohio State University. Libraries
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 208 - 213 Identifier: DOI: 10.18061/FDMC.2021.0000