Abstract
We describe the development of Neurythmic: an interactive
system for the creation and performance of fluid, expressivemusical rhythms using Central Pattern Generators(CPGs). CPGs are neural networks which generate adaptive rhythmic signals. They simulate structures in animals which underly behaviours such as heartbeat, gut peristalsis and complex motor control. [7, 6]. Neurythmic is the first such system to use CPGs for interactiverhythm creation. We discuss how Neurythmic uses the entrainment behaviour of these networks to support the creation of rhythms which avoid the rigidity of grid-based approaches.As well as discussing the development, design and evaluation of Neurythmic, we discuss relevant properties of theCPG networks used (Matsuoka’s Neural Oscillator), and describe methods for their control. Evaluation with expert and professional musicians shows that Neurythmic is a versatile tool, adapting well to a range of quite different musical approaches.
system for the creation and performance of fluid, expressivemusical rhythms using Central Pattern Generators(CPGs). CPGs are neural networks which generate adaptive rhythmic signals. They simulate structures in animals which underly behaviours such as heartbeat, gut peristalsis and complex motor control. [7, 6]. Neurythmic is the first such system to use CPGs for interactiverhythm creation. We discuss how Neurythmic uses the entrainment behaviour of these networks to support the creation of rhythms which avoid the rigidity of grid-based approaches.As well as discussing the development, design and evaluation of Neurythmic, we discuss relevant properties of theCPG networks used (Matsuoka’s Neural Oscillator), and describe methods for their control. Evaluation with expert and professional musicians shows that Neurythmic is a versatile tool, adapting well to a range of quite different musical approaches.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the international conference on New Interfaces for Musical Expression (NIME '18) |
| Place of Publication | Blacksburg, Virginia |
| Number of pages | 6 |
| Publication status | E-pub ahead of print - 15 Mar 2018 |
Research Groups and Themes
- Bristol Interaction Group
Keywords
- Central Pattern Generator
- Artificial neural network
- Computer music
- Rhythm