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Evolutionary Intelligence
Published in: Evolutionary Intelligence 1/2015

01-03-2015 | Special Issue

Monterey Mirror: an experiment in interactive music performance combining evolutionary computation and Zipf’s law

Authors: Bill Manaris, Dana Hughes, Yiorgos Vassilandonakis

Published in: Evolutionary Intelligence | Issue 1/2015

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Abstract

Monterey Mirror is an experiment in interactive music performance. It is engages a human (the performer) and a computer (the mirror) in a game of playing, listening, and exchanging musical ideas. The computer side involves an interactive stochastic music generator which incorporates Markov models, genetic algorithms, and power-law metrics. This approach combines the predictive power of Markov models with the innovative power of genetic algorithms, using power-law metrics for fitness evaluation. These power-law metrics have been developed and refined in a decade-long project, which explores music information retrieval based on Zipf’s law and related power laws. We describe the architecture of Monterey Mirror, which can generate musical responses based on aesthetic variations of user input. We also explore how such a system may be used as a musical meta-instrument/environment in avant-garde music composition and performance projects.
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Metadata
Title
Monterey Mirror: an experiment in interactive music performance combining evolutionary computation and Zipf’s law
Authors
Bill Manaris
Dana Hughes
Yiorgos Vassilandonakis
Publication date
01-03-2015
Publisher
Springer Berlin Heidelberg
Published in
Evolutionary Intelligence / Issue 1/2015
Print ISSN: 1864-5909
Electronic ISSN: 1864-5917
DOI
https://doi.org/10.1007/s12065-014-0118-2

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