Overview

IDyOM has now moved to: http://mtpearce.github.io/idyom/

Related publications

M. Pearce, “The Construction and Evaluation of Statistical Models of Melodic Structure in Music Perception and Composition,” PhD thesis, School of Informatics, City University, London, 2005.
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M. Pearce, D. Müllensiefen, and G. Wiggins, “The role of expectation and probabilistic learning in auditory boundary perception: A model comparison,” Perception, vol. 39, no. 10, pp. 1365–1389, 2010.
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D. Conklin, “Prediction and Entropy of Music.” Department of Computer Science, University of Calgary, 1990.
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D. Omigie, M. Pearce, and L. Stewart, “Tracking of pitch probabilities in congenital amusia,” in Neuropsychologia, 2012, vol. 50, pp. 1483–1493.
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D. Omigie, M. Pearce, V. Williamson, and L. Stewart, “Electrophysiological correlates of melodic processing in congenital amusia,” in Neuropsychologia, 2013, vol. 51, pp. 1749–1762.
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M. Pearce, “Statistical learning and probabilistic prediction in music cognition: mechanisms of stylistic enculturation,” Annals of the New York Academy of Sciences, 2018.
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D. Conklin and I. H. Witten, “Multiple viewpoint systems for music prediction,” Journal of New Music Research, vol. 24, no. 1, pp. 51–73, 1995.
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N. C. Hansen and M. Pearce, “Predictive Uncertainty in Auditory Sequence Processing,” in Frontiers in Psychology, 2014, vol. 5, p. 1052.
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Members

Manager: Marcus Pearce
Developer: Marcus Pearce, Peter Harrison