Building a simple artificial neural network in Max/MSP for nonlinear, chaotic control of datadriven instruments.

I’ve talked before about datadriven instruments (   • Crafting Musical Experiences with Dat...  , and I’ve talked before about artificial neurons and artificial neural networks (   • Audio Approaches to Artificial Neuron...  ), so here I combine the ideas to use a simple neural network to give some chaotic character to incoming data from a mouse and joystick before converting into into MIDI music. The ANN (Artificial Neural Network) reinterprets the data in way that isn't random, but also isn't linear, perhaps giving some interesting "organic" sophistication to our datadriven instrument.

In this video, I work entirely with musical control in MIDI, but these ideas could also apply to OSC or directly to any musical characteristics (like cutoff frequency of a filter, granular density, etc.).

More Max/MSP Videos:    • Max/MSP | Simon Hutchinson  
More Artificial Neurons and Neural Networks:    • Music and Sound with Neurons and Neur...  

0:00 Intro
1:43 [mousestate] for Data Input
2:58 Mapping a linear datadriven instrument
7:19 Making our Artificial Neuron
15:27 Simple ANN
20:06 Adding Feedback
22:23 Closing Thoughts, Next Steps

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#neuralnetworks #maxmsp #datadriveninstruments #SoundSynthesis #sounddesign #ExperimentalMusic