C.A.R.S. (Car Auditory Response System)

A project for the 2019 Moog Hackathon created along with Jack Thomson and Krish Ravindranath. The goal was to sonify the action of driving a car. To do this we hooked into the On Board Diagnostic Computer of a car. We retrieved signals provided by the sensors built into the car such as fuel trim readings, engine rpm, speed of the car and more. These signals were then processed and outputted by a RaspberryPi to be used as control signals on a Moog Werkstatt, a simple analog synthesizer. This project was awarded second place overall at the hackathon.

Noise Blender

This was a project for the 2020 Moog Hackathon along with the same teammates. This year we set out to create an interface with the Werkstatt that could be controlled by a human performer but would also feed back into itself. To do this we created the Noise Blender, a smoothie-making machine controlled by the signals of the Werkstatt. We custom-built a DIY blender thats speed would be controlled by the frequency of the main oscillator of the synthesizer and well as three ingredient-dispensing mechanisms that were controlled by the synthesizer’s LFO and actuated by different notes being played on the keyboard. The idea was that the user could set out to make a specific smoothie and in the process create a unique sonic landscape or alternatively set out to make specific sounds and end up with a unique smoothie. Additionally a contact mic was attached to the blender and fed back through the synthesizer’s audio stream causing the physical sounds of the device itself to be mixed into the audio output, eliminating the need for any external mics if it were to be recorded. This project received the "Best Performance" award.

The Parachute Extravaganza

A project for my Laptop Orchestra class in Spring 2019. The Parachute Extravaganza was an instrument, ritualistic performance, and game meant to bring back the joyful memories of childhood play and sonify them in a cloud of computer generated noises. Accelerometers were attached to a parachute to track its motion which was used to control a generative Pure Data patch while the 18 performers of the piece were guided in their motions by the gestures of three directors.