Name
Abstract | ||
|---|---|---|
Computational Intelligence encompasses tools that allow the fast convergence and adaptation to several problems, a fact that makes them eligible for real-time implementations. The paper at hand discusses the utilization of intelligent algorithms (i.e. Differential Evolution and Genetic Algorithms) for the creation of an adaptive system that is able to provide real-time automatic music accompaniment to a human improviser. The main goal of the presented system is to generate accompanying music based on the local human musician's tonal, rhythmic and intensity playing style, incorporating no prior knowledge about the improvisers intentions. Compared to existing systems previously proposed, this work introduces a constraint-free improvisation environment where the most important musical characteristics are automatically adapted to the human performer's playing style, without any prior information. This fact allows the improviser to have maximal control over the tonal, rhythmic and intensity improvisation directions. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/ICTAI.2012.67 | ICTAI), 2012 IEEE 24th International Conference |
Keywords | Field | DocType |
artificial intelligence,genetic algorithms,music,adaptive system creation,computational intelligence,constraint-free improvisation environment,differential evolution algorithm,genetic algorithm,human improviser,human performer playing style,intelligent algorithms,intelligent real-time automatic music accompaniment,intensity improvisation,local human musician intensity playing style,local human musician rhythmic style,local human musician tonal style,musical characteristics,constraint-free improvisation,intelligent improvisation,intelligent music composition | Improvisation,Computational intelligence,Computer science,Musical,Adaptive system,Differential evolution,Implementation,Performing arts,Artificial intelligence,Genetic algorithm | Conference |
Volume | ISSN | ISBN |
1 | 1082-3409 | 978-1-4799-0227-9 |
Citations | PageRank | References |
1 | 0.36 | 11 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Maximos A. Kaliakatsos-Papakostas | 1 | 67 | 13.26 |
| Andreas Floros | 2 | 80 | 16.12 |
| Michael N. Vrahatis | 3 | 179 | 13.96 |