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Please use this identifier to cite or link to this item: http://arks.princeton.edu/ark:/88435/dsp017p88ck29c
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dc.contributor.advisorLee, Ruby-
dc.contributor.authorWaldrop, Duncan-
dc.date.accessioned2018-08-20T15:21:22Z-
dc.date.available2018-08-20T15:21:22Z-
dc.date.created2018-05-07-
dc.date.issued2018-08-20-
dc.identifier.urihttp://arks.princeton.edu/ark:/88435/dsp017p88ck29c-
dc.description.abstractThe purpose of this thesis to explore the ways in which jazz theory can be modeled and present an algorithm for building an accompaniment style from sheet music. Due to the looseness of convention and emphasis on intuition in improvisation, the modeling of jazz theory used here employs a randomness that helps to capture the spontaneity of live performance. I decompose the chord symbols in songs in a manner similar to how an improviser might and use this information to build chord voicings that describe the tonal structure of specific chords. This allows for the creation of an accompaniment that is pleasing to the ear and adequately mirrors the improvisational process of the jazz musician.en_US
dc.format.mimetypeapplication/pdf-
dc.language.isoenen_US
dc.titleModeling Jazz Music: A Computational Approach to Jazz Improvisation, Solo Form, and Compositionen_US
dc.typePrinceton University Senior Theses-
pu.date.classyear2018en_US
pu.departmentElectrical Engineeringen_US
pu.pdf.coverpageSeniorThesisCoverPage-
pu.contributor.authorid960956173-
Appears in Collections:Electrical Engineering, 1932-2020

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