When Machine Learning Takes over Audio Signal Processing

During the last few years, machine learning has started to permeate the world of audio processing and has produced results that drastically improve over the state of the art. In this talk I'll touch on some recent approaches taking advantage of a machine learning perspective for attacking audio problems. I will show how traditional signal processing approaches can be reimagined using machine learning tools such as mixture models, matrix factorizations, deep learning regressions, and more.

Speaker: Paris Smaragdis, Univ of Illinous at Urbana-Champaign