In Music and Probability, I explore issues in music perception and cognition from a probabilistic perspective. I propose computational models for two basic cognitive processes, the perception of key and the perception of meter, using techniques of Bayesian probabilistic modeling. Drawing on my own research and surveying recent work by others, I explore a range of further issues in music and probability, including transcription, phrase perception, pattern perception, harmony, improvisation, and musical styles.
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