Tiny Trainable Instruments is a collection of media arts instruments using tiny machine learning, and based on microcontrollers.
Tiny Trainable Instruments is the master's thesis of Aarón Montoya-Moraga, a graduate student at MIT Media Lab and research assistant of the research groups Opera of the Future and Future Sketches, during the academic years 2019-2021.
The advisor of this thesis project is Tod Machover, and the thesis readers are Zach Lieberman and Mitchel Resnick.
This thesis project features contributions by UROP undergrad researchers Peter Tone and Maxwell Wang.
This repository contains the thesis PDF document and the tutorials. The companion Arduino library is on the repository https://github.com/montoyamoraga/TinyTrainable.
MIT