The Accusations That Are Confessions: Improvisation, Embodiment, and Human-Machine Learning

Lauren Hayes (Arizona State University)*

Image credit: Tobias Feltus

• Live Performance
• Paper PDF link
• Presence: In person
• Room Location: Rich Mix Stage
• Session: Concert 8

Abstract:

The Accusations That Are Confessions (2024) is a musical improvisation for embodied human-machine learning. This involves a methodology that is myriad and maximal in its relationship to sound synthesis, transformation, and music production that has evolved over the last nineteen years. Many types of synthesis are messily accumulated into the performance system alongside elements such as machine listening, machine learning, sampling, live re-sampling, analysis and resynthesis, and other approaches to the creation and manipulation of digital sound. This work explores the implications of designing, performing with, and evolving a NIME over nearly two decades.