In modern music production, our seemingly unlimited options are both a blessing and a curse. With huge creative potential comes an equally huge number of creative choices. Machine learning promises to help, but what does it really do, and where can it fit into the production process?
This event brings three artist-researchers together to discuss how they are applying machine learning techniques to their creative work. Where do these tools make sense in music production, and what can we reasonably expect from them? Where can AI save us time and energy, and what are the inherent creative tradeoffs? What new workflows and timbres are possible? How can we package these complex systems from research science for music makers? And looking forward, where do we go from here?