Section: New Results
Semi-supervised NMF with time-frequency annotations for single-channel source separation
Participants : Francis Bach, Augustin Lefèvre [correspondant] .
In  , we formulate a novel extension of nonnegative matrix factorization (NMF) to take into account partial information on source-specific activity in the spectrogram. Results on single-channel source separation show that time-frequency annotations allow to disambiguate the source separation problem, and learned annotations open the way for a completely unsupervised learning procedure for source separation with no human intervention.
Collaboration with C. Févotte (Laboratoire traitement et communication de l'information (LTCI), CNRS: UMR5141 - Institut Télécom - Télécom ParisTech).