Attending Audio Mostly 2024
I recently traveled to Milan, Italy to attend the Audio Mostly conference, this short blog discusses some of the highlights from that trip.
Welcome.
My name is Matt Peachey. I am a PhD student in the Faculty of Computer Science at Dalhousie University, in Halifax, Canada. I am currently working on research projects at the intersection of Machine Learning, Human Computer Interaction, and Music.
More broadly, I am interested in understanding how humans can interact more effectively with intelligent systems. As AI continues to advance rapidly, I believe it is crucial to explore how domain experts can harness this technology while preserving the value of their unique expertise. In the context of music, AI tools should be designed to support creative workflows rather than replace them. By focusing on creativity-support rather than automation, musicians can use AI as a complementary part of their process while remaining the visionaries behind their work.
I use this webpage to share my thoughts on research, technology, music, sports and more. Take a look around!
Here I'm demoing one of my projects that uses Google's MediaPipe Hands for ML powered motion-capture for hand-tracking and uses that data to control parameters of a digital synthesizer in real time.
Read my latest Blog Posts.
Maplet: Integrating Distributed Data Signal Mappings for Performative Interactions Within the Eurorack Modular Synthesizer Ecosystem
This research introduces a prototype Eurorack module that brings the libmapper ecosystem to modular synthesizers.
Evaluating Low-Dimensional Latent Representations as a Creative Interface for Digital Synthesizers
This paper presents the results of a mixed-methods user study that evaluated my Latent Representations.
Who am I?
This blog post provides a little bit of context about who I am & what I'm interested in. Take a read to learn more!