Title:
Generative rhythmic models

dc.contributor.advisor Chordia, Parag
dc.contributor.author Rae, Alexander en_US
dc.contributor.committeeMember Freeman, Jason
dc.contributor.committeeMember Weinberg, Gil
dc.contributor.department Music en_US
dc.date.accessioned 2009-06-08T19:02:11Z
dc.date.available 2009-06-08T19:02:11Z
dc.date.issued 2009-04-08 en_US
dc.description.abstract A system for generative rhythmic modeling is presented. The work aims to explore computational models of creativity, realizing them in a system designed for realtime generation of semi-improvisational music. This is envisioned as an attempt to develop musical intelligence in the context of structured improvisation, and by doing so to enable and encourage new forms of musical control and performance; the systems described in this work, already capable of realtime creation, have been designed with the explicit intention of embedding them in a variety of performance-based systems. A model of qaida, a solo tabla form, is presented, along with the results of an online survey comparing it to a professional tabla player's recording on dimensions of musicality, creativity, and novelty. The qaida model generates a bank of rhythmic variations by reordering subphrases. Selections from this bank are sequenced using a feature-based approach. An experimental extension into modeling layer- and loop-based forms of electronic music is presented, in which the initial modeling approach is generalized. Starting from a seed track, the layer-based model utilizes audio analysis techniques such as blind source separation and onset-based segmentation to generate layers which are shuffled and recombined to generate novel music in a manner analogous to the qaida model. en_US
dc.description.degree M.S. en_US
dc.identifier.uri http://hdl.handle.net/1853/28133
dc.publisher Georgia Institute of Technology en_US
dc.subject Rhythm modeling en_US
dc.subject Generative music en_US
dc.subject Computational models of creativity en_US
dc.subject.lcsh Tabla
dc.subject.lcsh Blind source separation
dc.subject.lcsh Computer music
dc.title Generative rhythmic models en_US
dc.type Text
dc.type.genre Thesis
dspace.entity.type Publication
local.contributor.corporatename College of Design
local.contributor.corporatename School of Music
local.relation.ispartofseries Master of Science in Music Technology
relation.isOrgUnitOfPublication c997b6a0-7e87-4a6f-b6fc-932d776ba8d0
relation.isOrgUnitOfPublication 92d2daaa-80f2-4d99-b464-ab7c1125fc55
relation.isSeriesOfPublication bb52c603-2646-4dfa-a9b7-9f81b43c419a
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