1989
DOI: 10.1080/07494468900640401
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Tonal cognition, artificial intelligence and neural nets

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Cited by 22 publications
(9 citation statements)
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“…Neural nets have been able to reproduce the expectancies oflisteners concerning tonal music after a preliminary training phase (Bharucha & Olney, 1989). The habituation consists in internalizing the organization of tonal pitch space (Krumhansl, 1990).…”
Section: Musical Tension In a Tonal Contextmentioning
confidence: 99%
“…Neural nets have been able to reproduce the expectancies oflisteners concerning tonal music after a preliminary training phase (Bharucha & Olney, 1989). The habituation consists in internalizing the organization of tonal pitch space (Krumhansl, 1990).…”
Section: Musical Tension In a Tonal Contextmentioning
confidence: 99%
“…The neural network reflected Narmour's IR principles suggesting that the principles, rather than being innate, might be abstracted from listening to music (see also [33,34]). It is notable that universality does not imply innateness [35]. Evidence supporting an on-line statistical view of human cognition in general, and sensitivity to tonal hierarchies in particular, has also been provided in the context of Indian [36,37], Balinese [38] and Korean Court music [39].…”
Section: Tone Sequences Melodies and Expectancymentioning
confidence: 97%
“…We briefly discuss models of both forms of expectancy and conclude with a model that subsumes both. Two of the classes of nets that have promise for this research-auto-associative nets and hierarchical self-organizing nets-are only summarized here since their application to music has been described in detail in earlier papers (see Bharucha 1987a;1987b;Bharucha and Olney 1989). We focus our modeling account on a third class of nets-sequential nets-that learn specific tone sequences (i.e., veridical expectancies) and in doing so exhibit schematic expectancies as an emergent property.…”
Section: Modeling the Perception O F Tonalmentioning
confidence: 99%
“…The extent to which patterns of schematic expectancy for the tones in musical scales can be captured by an auto-associative net has been explored in earlier work (Bharucha and Olney 1989). Using the delta rule (Rumelhart and McClelland 1986), this net is taught to map from a complete set of scale tones as input to the same scale set as output.…”
Section: Learning Culture-specific Modes With Auto-associatorsmentioning
confidence: 99%