Name
Abstract | ||
|---|---|---|
Algorithmic music synthesis with intelligent methodologies is a subject of research under both unsupervised and supervised forms, with the production of rhythm being an important aspect of the compositional process. Unsupervised algorithms tend to produce rhythms that are described either as simplistic and repetitive, or very complex and unstable. This work examines a modification of the legacy L-systems that are hereby termed as Finite L-systems (FL-systems). With this modification, the produced symbolic sequences are more controllable, offering a rhythm production alternative that is more flexible than the L-systems. In particular, when used for unsupervised rhythm production, FL-systems construct rhythmic sequences with great variability in terms of complexity and repetitiveness. This trend indicates that their combination with learning algorithms may provide a flexible supervised rhythm production system. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/IIH-MSP.2012.109 | IIH-MSP |
Keywords | Field | DocType |
finite l-systems,unsupervised rhythm production,compositional process,unsupervised algorithm,algorithmic music synthesis,supervised form,legacy l-systems,flexible supervised rhythm production,intelligent generation,rhythm production alternative,great variability,unsupervised learning,rhythm,speech synthesis,vectors,music,audio signal processing,production | Speech synthesis,Computer science,Speech recognition,Unsupervised learning,Audio signal processing,Music synthesis,Rhythm | Conference |
Citations | PageRank | References |
3 | 0.51 | 2 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Maximos A. Kaliakatsos-Papakostas | 1 | 67 | 13.26 |
| Andreas Floros | 2 | 80 | 16.12 |
| M.N. Vrahatis | 3 | 1740 | 151.65 |