ParamFlow: A generative framework for augmented control over audio tools

Unfortunately this talk is only open to CHIA and Music Faculty members.

Synthesizers, audio effects, and audio workstations are as much a part of our musical heritage as the music made with them. In developing the next generation of AI-enhanced music technology, I argue that rather than seeking to replace these tools and erase this heritage, we should embrace them and build our technology around them. To this end, I present ParamFlow: a generative framework that acts as a translation layer between audio and tool parameters, enabling augmented and permeable control over the music studio. In this talk, I introduce the technical foundations of ParamFlow and demonstrate its application to synthesizer sound matching and audio effects estimation.