Taxonomic categorisation of motivic patterns

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Show simple item record Lartillot, Olivier 2009-12-21T19:19:22Z 2009-12-21T19:19:22Z 2009
dc.identifier.citation Lartillot, O. (2009). Taxonomic categorisation of motivic patterns. Musicae Scientiae, Discussion Forum 4B, 25-46.
dc.description.abstract The issue of pattern description in computational models for motivic analysis is closely related to the cognitive debate on categorisation, in which are traditionally opposed well-defined and ill-defined categorisations. The ill-defined conceptualisation has been considered as a suitable framework for the formalisation of musical categorisation as it takes into account motivic variations. It seems that computational models rely rather on well-defined categorisation, due to its better controllability. The computational model we previously presented (Lartillot & Toiviainen, 2007) strikes a balance by developing a new flexible framework allowing the taking into account of unrestricted variability, but in the same time ensuring a precise description of whole categories, including their underlying variations. For that purpose, categories are not described by one single prototype, but on the contrary by a taxonomy of subcategories forming a multi-levelled hierarchy. The proposed computational model forms a complex system of interdependencies: its behaviour cannot be predicted but can only be observed through a computational running on actual musical examples. The behaviour emerging from the model offers hence a possible explanation of listeners cognitive capabilities and might indicate necessary conditions for cognitively relevant modelling. en
dc.language.iso eng en
dc.rights restrictedAccess
dc.subject.other motivic variation en
dc.subject.other categorisation en
dc.subject.other distributed taxonomy en
dc.subject.other pattern extraction en
dc.subject.other explanatory model en
dc.title Taxonomic categorisation of motivic patterns en
dc.type Article en
dc.identifier.urn URN:NBN:fi:jyu-201804202244

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