Abstract
Two computational models using ANN’s are described that extract statistical representations of pitch use in melodies across various keys. These representations are equivalent to abstract pitch (degree) identities. The research is focussed on how the differences between pitch use in different keys can be represented and outlines two simple mechanisms through which these descriptions can be constructed. The research supports the view that inductive processes concerned with extracting statistical representations of pitch use are able to create stable and consistent representations equivalent to categories that delineate tonal structure.
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© 1995 Springer-Verlag London
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Griffith, N. (1995). Using Complementary Streams in a computer model of the abstraction of Diatonic pitch. In: Smith, L.S., Hancock, P.J.B. (eds) Neural Computation and Psychology. Workshops in Computing. Springer, London. https://doi.org/10.1007/978-1-4471-3579-1_11
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DOI: https://doi.org/10.1007/978-1-4471-3579-1_11
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