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Methods for Combining Statistical Models of Music.

, , and . CMMR, volume 3310 of Lecture Notes in Computer Science, page 295-312. Springer, (2004)

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Musical Features for Automatic Music Transcription Evaluation., , , and . CoRR, (2020)Comparing Musicians and Non-musicians' Expectations in Music and Vision., , and . Audio Mostly Conference, page 74-79. ACM, (2022)An Information-Theoretic Account of Musical Expectation and Memory., , and . CogSci, cognitivesciencesociety.org, (2013)Predictive processing of musical structure: effects of genre-specific expertise., , and . CogSci, cognitivesciencesociety.org, (2013)An Energy-based Generative Sequence Model for Testing Sensory Theories of Western Harmony., and . ISMIR, page 160-167. (2018)Harmonising Melodies: Why Do We Add the Bass Line First?, , , and . ICCC, page 79-86. computationalcreativity.net, (2013)A Distributed Model For Multiple-Viewpoint Melodic Prediction., , , and . ISMIR, page 15-20. (2013)From learning to creativity: Identifying the behavioural and neural correlates of learning to predict human judgements of musical creativity., , , , and . NeuroImage, (2020)Decomposing neural responses to melodic surprise in musicians and non-musicians: Evidence for a hierarchy of predictions in the auditory system., , , , , and . NeuroImage, (2020)Development of Techniques for the Computational Modelling of Harmony., , , and . ICCC, page 11-15. computationalcreativity.net, (2010)