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Journal of New Music Research Volume 46, 2017 - Issue 2

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Compression-based Modelling of Musical Similarity Perception

Marcus PearceQueen Mary University of London, UK.Correspondence[email protected]
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Daniel MüllensiefenGoldsmiths University of London, UK.View further author information

Pages 135-155 | Received 02 Mar 2017, Accepted 03 Mar 2017, Published online: 30 Mar 2017

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https://doi.org/10.1080/09298215.2017.1305419
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Citations (11)

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Edward T. R. Hall & Marcus T. Pearce. (2021) A model of large-scale thematic structure. Journal of New Music Research 50:3, pages 220-241.
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Articles from other publishers (10)

Sebastian Silas & Daniel Müllensiefen. (2023) Learning and Recalling Melodies. Music Perception: An Interdisciplinary Journal 41:2, pages 77-109.
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Güngör Gündüz. (2023) Entropy, energy, and instability in music. Physica A: Statistical Mechanics and its Applications 609, pages 128365.
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Mathias Rose Bjare, Stefan Lattner & Gerhard Widmer. (2022) Differentiable Short-Term Models for Efficient Online Learning and Prediction in Monophonic Music. Transactions of the International Society for Music Information Retrieval 5:1, pages 190.
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Siqi Lai. (2021) Applying Data Mining in Music influences analysis. E3S Web of Conferences 253, pages 03074.
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Peter M. C. Harrison, Roberta Bianco, Maria Chait & Marcus T. Pearce. (2020) PPM-Decay: A computational model of auditory prediction with memory decay. PLOS Computational Biology 16:11, pages e1008304.
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Ana Clemente, Manel Vila-Vidal, Marcus T. Pearce, Germán Aguiló, Guido Corradi & Marcos Nadal. (2020) A Set of 200 Musical Stimuli Varying in Balance, Contour, Symmetry, and Complexity: Behavioral and Computational Assessments. Behavior Research Methods 52:4, pages 1491-1509.
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Sarah A. Sauvé & Marcus T. Pearce. (2019) Information-theoretic Modeling of Perceived Musical Complexity. Music Perception 37:2, pages 165-178.
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Benjamin P. Gold, Marcus T. Pearce, Ernest Mas-Herrero, Alain Dagher & Robert J. Zatorre. (2019) Predictability and Uncertainty in the Pleasure of Music: A Reward for Learning?. The Journal of Neuroscience 39:47, pages 9397-9409.
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Diana Omigie, Marcus Pearce, Katia Lehongre, Dominique Hasboun, Vincent Navarro, Claude Adam & Severine Samson. (2019) Intracranial Recordings and Computational Modeling of Music Reveal the Time Course of Prediction Error Signaling in Frontal and Temporal Cortices. Journal of Cognitive Neuroscience 31:6, pages 855-873.
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Marcus T. Pearce. (2018) Statistical learning and probabilistic prediction in music cognition: mechanisms of stylistic enculturation. Annals of the New York Academy of Sciences 1423:1, pages 378-395.
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