About this non-negative business
Paris Smaragdis · 2013
The foundations of signal processing are firmly set in least squares, an approach that has served us very well for years (and still does). With the increasing presence of machine learning and sophisticated statistics in audio processing, we are slowly seeing that not everything has to be based on Gaussians anymore. One recently popular approach along these lines is that of non-negative modeling, especially in problems that involve complex audio mixtures. In this keynote I'll talk about how these models came to be, what they can do, why they have been so successful, and I'll ponder on what the future holds as new developments are continuously coming in.