Correlativity of perception is defined as a capacity to discover similar configurations of stimuli and to form high- level configurations from them. It is equivalent to describing information in terms of generative elements and their transformations. Such a representation saves memory and reveals causality in data generation. This approach is implemented in a model of artificial perception wherein data are selforganized in order to segregate patterns before recognizing them. Input information is described as generative patterns and their transformations. The least complex data representation that leads to a causally related semantic description is chosen, with (Kolmogorov) complexity defined by the amount of memory store required. The model is applied to voice separation and to rhythm/tempo tracking. Chord spectra are described by generative subspectra, which correspond to tonal spectra, and by their translations, which coincide with the intervals of the chord. Time events are also described by generative rhythmic patterns. Tempo and rhythm interdependence is overcome by the optimal sharing of complexity between representations of rhythmic patterns and tempo curve. The model explains the function of interval hearing, certain statements of music theory, and some effects of rhythm perception. Applications to image processing and modeling of abstract thinking are also discussed.
Music Perception charts the ongoing scholarly discussion and study of musical phenomena. Publishing original empirical and theoretical papers, methodological articles and critical reviews from renowned scientists and musicians, Music Perception is a repository of insightful research. The broad range of disciplines covered in the journal includes: Psychology Psychophysics Linguistics Neurology Neurophysiology Artificial intelligence Computer technology Physical and architectural acoustics Music theory Recent contributors have published features on tone evaluation, voice, memory, empirical data, and the conceptualization of music.
Founded in 1893, University of California Press, Journals and Digital Publishing Division, disseminates scholarship of enduring value. One of the largest, most distinguished, and innovative of the university presses today, its collection of print and online journals spans topics in the humanities and social sciences, with concentrations in sociology, musicology, history, religion, cultural and area studies, ornithology, law, and literature. In addition to publishing its own journals, the division also provides traditional and digital publishing services to many client scholarly societies and associations.
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Music Perception: An Interdisciplinary Journal
© 1994 University of California Press
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