Scott Rubin
Category: Center for New Music and Audio Technologies
Human-Machine Interactive Composition Using Machine Learning
We will develop a software program that interacts with human musicians to automatically co-author music in real time using machine learning. Our real-time interactive system contributes to and draws from already existing branches of study in music composition and computer science. From computer science, the system applies techniques from Music Information Retrieval (MIR) and Machine Learning to analyze and generate musical content. Within the domain of music composition, our piece aims to develop an interactive digital framework for gesture-based music improvisation.
Edmund Campion
Edmund Campion is currently Professor of Music Composition and Director at the Center for New Music and Audio Technologies at the University of California, Berkeley. He has received the American Rome Prize, the Lili Boulanger Prize, The Paul Fromm Award at Tanglewood, the Goddard Lieberson Fellowship given by the American Academy of Arts and Letters, and, most recently, a Guggenheim Fellowship.