Music intelligence and knowledge agent (MIKA)

Jeremy Stewart, Matthew Goodheart, Jonas Braasch, Mary Simoni, Curtis Bahn, David Dahlbom

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

MIKA (Music Intelligence and Knowledge Agent) is a tool to enhance harmonic development in lead-sheet based music composition, performance, and pedagogy through the use of AI analysis and interpretation. Results of this analysis can provide directions for refinements in realizing a proximate historical style, and suggestions for further novel developments. Here we document the initial stages of the project, using a 12-bar blues framework as a starting point, real-time symbolic data input is analyzed against a training set of historical evolutionary paths to generate deep-structure harmonic analysis.

Original languageEnglish
Title of host publicationProceedings of the 2019 International Computer Music Conference, ICMC-NYCEMF 2019 - International Computer Music Conference New York City Electroacoustic Music Festival
PublisherInternational Computer Music Association
Pages172-178
Number of pages7
ISBN (Electronic)0984527486, 9780984527489
StatePublished - Sep 1 2019
Externally publishedYes
Event45th International Computer Music Conference, ICMC 2019 and International Computer Music Conference New York City Electroacoustic Music Festival, NYCEMF 2019 - New York, United States
Duration: Jun 16 2019Jun 23 2019

Publication series

NameProceedings of the 2019 International Computer Music Conference, ICMC-NYCEMF 2019 - International Computer Music Conference New York City Electroacoustic Music Festival

Conference

Conference45th International Computer Music Conference, ICMC 2019 and International Computer Music Conference New York City Electroacoustic Music Festival, NYCEMF 2019
Country/TerritoryUnited States
CityNew York
Period06/16/1906/23/19

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