Landscape NOON + Machine Learning 1/5
Channel: kriista
Date: 2022-12-30

Here’s an early test of something I’m building for my Landscape NOON. The idea is that all the code/hardware will eventually live on a Bela as a standalone “instrument” with some additional components to scale the CV outputs as required.

What’s going on in this video is that I’m using machine learning (via FluCoMa + SP-Tools running in Pure Data) to train different classes on the snare (center, “edge”, two crotales, rim tip, and rim shoulder) and then using that to trigger 6 of the voices on the NOON. I’m also using descriptor analysis from each attack to scale the gate length, gate height, and envelope parameters.

I’ve also setup my Erae Touch to also trigger the same voices (color coded) where the XYZ in each of the 8 zones controls gate length, gate height, and envelope release.

The plan is for the final instrument to be a wooden CNC’d enclosure that will house all the additional electronics along with the Bela and some audio I/O so it will be a completely standalone instrument.