Abstract
We introduce a method of generating grain parameters of a granular synthesiser in real-time by using a network of artificial spiking neurons, the behaviour of which is determined by user-control of a small number of network parameters; ‘Neurogranular synthesis’. The artificial network can exhibit a wide variety of behaviour from loosely correlated to highly synchronised, which can produce interesting sonic results, particularly with regard to rhythmic textures.
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McCracken, K., Matthias, J., Miranda, E. (2011). Neurogranular Synthesis: Granular Synthesis Controlled by a Pulse-Coupled Network of Spiking Neurons. In: Di Chio, C., et al. Applications of Evolutionary Computation. EvoApplications 2011. Lecture Notes in Computer Science, vol 6625. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20520-0_36
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DOI: https://doi.org/10.1007/978-3-642-20520-0_36
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