If music be the food of computers, how shall we prepare it? indeed, how shall we prepare them? This talk is a quick tour of a kitchen filled with musical ingredients, with some finger food served, and an invitation for more cooking together.
I demonstrate systems that collect large quantities of musical data, both symbolic (hundreds of millions of notes) and expressive (tens of thousands of hours of recordings). I present applications that provide insights into music history and practice, and show some fairly simple algorithms capturing higher-level musical categories surprisingly well. I then talk about an interactive application that involves humans and algorithms playing with each other and constantly learning from the experience.