Name
Title | ||
|---|---|---|
Monterey Mirror: an experiment in interactive music performance combining evolutionary computation and Zipf's law. |
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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Year | DOI | Venue |
|---|---|---|
2015 | 10.1007/s12065-014-0118-2 | Evolutionary Intelligence |
Keywords | Field | DocType |
Genetic algorithms, Markov models, Zipf’s law, Power laws, Stochastic music, Music performance, Music composition | Zipf's law,Music information retrieval,Computer science,Markov model,Musical composition,Evolutionary computation,Artificial intelligence,Pop music automation,Evolutionary music,Genetic algorithm,Machine learning | Journal |
Volume | Issue | ISSN |
8 | 1 | 1864-5917 |
Citations | PageRank | References |
0 | 0.34 | 4 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bill Manaris | 1 | 204 | 21.81 |
| Dana Hughes | 2 | 18 | 4.21 |
| Yiorgos Vassilandonakis | 3 | 6 | 2.29 |