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Sweet Anticipation : Music and the Psychology of Expectation
The construction and evaluation of statistical models of melodic structure in music perception and composition
- M. Pearce
- Computer Science
- 1 December 2005
The thesis proposed in this dissertation is that statistical models which acquire knowledge through the induction of regularities in corpora of existing music can, if examined with appropriate methodologies, provide significant insights into the cognitive processing involved in music perception and composition.
Brain responses in humans reveal ideal observer-like sensitivity to complex acoustic patterns
- Nicolas Barascud, M. Pearce, T. Griffiths, Karl J. Friston, M. Chait
- Psychology, BiologyProceedings of the National Academy of Sciences
- 19 January 2016
The temporal dynamics and underlying neural sources of the process by which the brain discovers complex temporal patterns in rapidly unfolding sound sequences are revealed and listeners are remarkably sensitive to the emergence of complex patterns within rapidly evolving sound sequences, performing on par with an ideal observer model.
EXPECTATION IN MELODY: THE INFLUENCE OF CONTEXT AND LEARNING
The Implication-Realization (IR) theory (Narmour, 1990) posits two cognitive systems involved in the generation of melodic expectations: The first consists of a limited number of symbolic rules that…
Improved Methods for Statistical Modelling of Monophonic Music
An application-independent evaluation of some recent techniques for improving the performance of a subclass of n-gram models on a range of monophonic music data shows that significant and consistent improvements in performance are afforded by several of the evaluated techniques.
Towards A Framework for the Evaluation of Machine Compositions
A framework within which machine compositions may be evaluated objectively allows statements about those compositions to be refuted on the basis of empirical experimentation and is described, which exemplifies these four stages and demonstrates the practicality of the framework.
Generality and specificity in the effects of musical expertise on perception and cognition
Unsupervised statistical learning underpins computational, behavioural, and neural manifestations of musical expectation
Motivations and Methodologies for Automation of the Compositional Process
It is argued that research in the four domains will continueto stagnate unless the motivations and aims of research projects are clearly stated and appropriate methodologies are adopted for developing and evaluating systems that compose music.
Evaluating Cognitive Models of Musical Composition
A learning-based perceptual model of musical melodic listening in the generation of tonal melodies is deployed and its output is evaluated quantitatively and objectively, using human judges, and how the system can be enhanced by the application of mathematical methods over data supplied by the judges is shown.