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JIG: an Approach to Computational Jazz Improvisation

Grachten, M. (2001) JIG: an Approach to Computational Jazz Improvisation. Master's Thesis / Essay, Artificial Intelligence.

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Abstract

This thesis describes JIG (Jazz Improvisation Generator), an algorithm for jazz improvisation. The kind of improvisation that is attempted, is 'formulaic' improvisation, which involves the use of pre-existing motifs within the improvisation. The design of JIG was based on a cognitive model for jazz improvisation by Pressing. This model can be classified as a temporal approach to improvisation. The model was adjusted (simplified in some respects and elaborated in others) to make it feasible for implementation. JIG was implemented in NOOS, an object-centered language for knowledge representation and problem solving. The improvisation capabilities of JIG have been incorporated in SaxEx, a case based reasoning system for generating expressive performances of jazz-ballads. Both NOOS and SaxEx were developed at the Artificial Intelligence Institute lilA, in Barcelona.

Item Type: Thesis (Master's Thesis / Essay)
Degree programme: Artificial Intelligence
Thesis type: Master's Thesis / Essay
Language: English
Date Deposited: 15 Feb 2018 07:30
Last Modified: 15 Feb 2018 07:30
URI: http://fse.studenttheses.ub.rug.nl/id/eprint/9034

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