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ECAI
2008
Springer

Groovy Neural Networks

8 years 4 months ago
Groovy Neural Networks
Abstract. The drum machine has been an important tool in music production for decades. However, its flawless way of playing drum patterns is often perceived as mechanical and rigid, far from the groove provided by a human drummer. This paper presents research towards enhancing the drum machine with learning capabilities. The drum machine learns user-specific variations (i.e. the groove) from human drummers, and stores the groove as attractors in Echo State Networks (ESNs). The ESNs are purely generative (i.e. not driven by an input signal) and the output is used by the drum machine to imitate the playing style of human drummers, making it a cost-effective way of achieving life-like drums.
Axel Tidemann, Yiannis Demiris
Added 19 Oct 2010
Updated 19 Oct 2010
Type Conference
Year 2008
Where ECAI
Authors Axel Tidemann, Yiannis Demiris
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