tiny-trainable-instruments
Workshop
About
This workshop has been written and designed by Aarón Montoya-Moraga in 2021, as a research assistant and master’s student at MIT Media Lab’s Opera of the Future and Future Sketches research groups. Additional code, examples, and documentation by MIT undergraduate researchers Peter Tone and Maxwell Wang.
Navigation
This is a proposed workshop for artists, beginners, and enthusiasts.
It is located on the docs/ folder, and it stands for documentation. We will be referring to other files on the docu
Key concepts
Machine learning, media arts, Arduino microcontroller, tiny machine learning.
Code of conduct
Materials
You would need to bring a computer, with Linux, Mac or Windows operating systems.
Prerrequisites
Please follow all the instructions for installation of software, and test the installation of them.
It is recommended to add an extra hour before the first session, to test the installations and fix them.
First session
Goals:
- Address doubts about installation of Arduino software and libraries
- Understand the check_ examples for testing wiring
Code used:
- check_serial:
- check_buzzer
Hardware:
- Breadboard
- Arduino
Activities:
- 10min: introduction to workshop and instructor
- 10min: participants introduce themselves
- 20min: installation of Arduino IDE and libraries
- 10min: compile and upload first example, check_serial
- 10min: read the code example and make modifications
- 10min: example with buzzer, compile and read check_buzzer
- 10min: wire buzzer and play with different frequencies on check_buzzer
- 05min: break
- 10min: compile and read machine learning example: color_buzzer
- 10min: explain training for color_buzzer
- 10min: participants modify the color_buzzer example
Extras:
- Capture examples of gesture and train overnight
- Capture examples of speech and train overnight
Second session
Funding
Funded by the Council for the Arts at MIT, including
Contact
Email velouria@media.mit.edu or submit an issue at the repository https://github.com/montoyamoraga/tiny-trainable-instruments/