A multi-dimensional entropy model of jazz improvisation for music information retrieval.

Jazz improvisation provides a case context for examining information in music; entropy provides a means for representing music for retrieval. Entropy measures are shown to distinguish between different improvisations on the same theme, thus demonstrating their potential for representing jazz information for analysis and retrieval. The calculated entropy measures are calibrated against human representation by means of a case study of an advanced jazz improvisation course, in which synonyms for "entropy" are frequently used by the instructor. The data sets are examined for insights in music information retrieval, music information behavior, and music representation.

Grantor dc:publisher

University of North Texas

Year dc:date

2005

Author dc:creator

• Simon, Scott J.

Contributors dc:contributor

• O'Connor, Brian Clark
• Chilton, Bradley S.
• Kearns, Jodi
• Wheeler, Maurice B.

• Improvisation (Music)
• Jazz.
• Information retrieval.
• MIR
• information theory
• entropy model
• jazz improvisation
• music technology
• music analysis
• computational models

Statement dc:rights

• Public
• Copyright
• Simon, Scott J.
• Copyright is held by the author, unless otherwise noted. All rights reserved.

Language dc:language

English

Identifier

oclc: 70043667
https://digital.library.unt.edu/ark:/67531/metadc4929/
ark: ark:/67531/metadc4929

OAI identifier oai:identifier

info:ark/67531/metadc4929