CHESS

Paolo Zanini: Source separation for urban planning application

"A problem of urban planning application through mobile-phone traffic data in the metropolitan area of Milan, Italy, is considered. The aim is to retrieve meaningful information regarding working, residential, and mobility activities around the city. The independent component analysis (ICA) framework is used to model underlying spatial activities as independent spatial sources on a lattice. To incorporate spatial dependence within the spatial sources, a spatial colored ICA (scICA) method is developed. The method models spatial dependence within each source in the frequency domain, exploiting the power of Whittle likelihood and local linear log-spectral density estimation. An iterative algorithm is derived to estimate the model parameters through maximum Whittle likelihood."

Pierre Narvor: udiovisual Speech Source Separation: Integration of video informations in an IVA algorithm+

Abstract: In this presentation, we shall propose a way to integrate video informations about lip movements in an IVA algorithm used for separate or extract speech signals from a convolutive mixture in a reverberant environment. We want to exploit lip movements to estimate the variations of power of the speech signal which we believe can be a very strong help for separation or extraction using IVA.