2026-07-16 –, Glass room
This will be a hands-on workshop during which we will build a digital musical instrument controlled by personalised gestures.
We will make a standalone desktop application with a web UI which embeds an existing machine learning model for timbre transfer. We will look at an example of a meaningful control of the model for creative use in interactive, real-time sound generation.
Finally, we will use interactive machine learning to define a personalised way of controlling the instrument based on a few examples provided on the fly.
Workshop goals:
- Demonstrate a practical example of creating a musical instrument with custom gesture control.
- Walk you through a typical architecture of a real-time system with interactive control.
- Show you how to run an existing machine learning model for timbre transfer on your computer and embed it in a desktop application.
- Discuss ways for incorporating interactive methods for augmenting user interactions.
Anna is a software developer and an academic researcher focusing on interactive real-time systems for music and audio. She draws upon over a decade of practical experience in the music tech industry, having worked on software and hardware products which have become industry standards for performing electronic music on stage. For the last couple of years she has been associated with University of the Arts London, where she has worked as a researcher on a project promoting ethical use of AI in creative music practice, funded by Responsible AI UK.
Anna has been involved with multiple mentoring initiatives for groups underrepresented in tech, striving to empower marginalised communities and help them advance in their practice.