BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Talks.cam//talks.cam.ac.uk//
X-WR-CALNAME:Talks.cam
BEGIN:VEVENT
SUMMARY:Probabilistic modelling of time-frequency representations with app
 lication to music signals - Dr Roland Badeau\, Télécom ParisTech / CNRS 
 LTCI\, France.
DTSTART:20130613T130000Z
DTEND:20130613T140000Z
UID:TALK45397@talks.cam.ac.uk
CONTACT:Prof. Ramji Venkataramanan
DESCRIPTION:Nonnegative Matrix Factorization (NMF) is a powerful tool for 
 decomposing mixtures of non-stationary signals in the Time-Frequency (TF) 
 domain. In the literature\, a variety of probabilistic models involving la
 tent variables have been designed for introducing some a priori knowledge 
 (like harmonicity and smoothness) into NMF. However\, phases are generally
  ignored in such models\, which results in a limited spectral resolution (
 sinusoids in the same frequency band cannot be properly separated). Moreov
 er\, most of these models assume that all TF coefficients are independent\
 , which is not the case of sinusoidal signals for instance. In this talk\,
  I will present a unified probabilistic model called HR-NMF\, which achiev
 es a high spectral resolution by taking both phases and local correlations
  in each frequency band into account. The potential of this new approach w
 ill be illustrated in the context of audio source separation and audio inp
 ainting.
LOCATION:LR3\, Engineering\, Department of
END:VEVENT
END:VCALENDAR