This project took place over the summer of 2022 as part of the Google Summer of Code, with support from the Intelligent Instruments Lab, Beagleboard Foundation and Bela. The project's objective was to improve the tooling available for those looking to use machine learning models in their Bela projects. For some background, Bela is a maker platform built on top of the Beaglebone Black with a focus on real-time audio and sensor processing for use in interactive art projects including digital instrument design. The availability of machine learning tools to be used with Bela would allow for new design practices incorporating machine learning models.
The original goal of this project arose out of the constraints of Bela's low-powered (in machine learning terms) processor and the real-time constraints of interactive projects. To aid development on this platform there is a need for performance analysis tools that allow for quick evaluation of different models on Bela. This proj