Date: Thu 19th April 2012 10:30
Location: Electronic Engineering, Room 209
Speaker(s): Laurent Simon (INRIA Rennes Bretagne Atlantique, France)

During this talk, we will discuss the problem of online audio source separation. Most online audio source separation algorithms use either a sliding block approach or a stochastic gradient approach, which is faster but less accurate. We propose a general online audio source separation framework that can combine both online approaches. This online approach is based on Ozerov's offline general flexible source separation framework, a framework that lets the user specify spatial, spectral or temporal constraints for each source of the mixture, depending on the knowledge available about sound sources.

Laurent Simon graduated with a Master's degree in Acoustics, Signal Processing and Computer Science applied to Music at IRCAM, Paris, France. He did his Ph.D. in psychoacoustics at the Institute of Sound Recording, University of Surrey, where he developed stereophonic microphone array design techniques based on perceptual cues. In January 2011, he started a postdoctoral position in audio signal processing at INRIA Rennes, France. Here, he focuses on online audio source separation.