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» Source Separation with Gaussian Process Models
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ICA
2004
Springer
14 years 1 months ago
Analytical Solution of the Blind Source Separation Problem Using Derivatives
In this paper, we consider independence property between a random process and its first derivative. Then, for linear mixtures, we show that cross-correlations between mixtures and...
Sebastien Lagrange, Luc Jaulin, Vincent Vigneron, ...
ICASSP
2008
IEEE
14 years 3 months ago
Evaluation of several strategies for single sensor speech/music separation
In this paper we address the application of single sensor source separation techniques to mixtures of speech and music. Three strategies for source modeling are presented, namely ...
Raphaël Blouet, Guy Rapaport, Cédric F...
ICA
2004
Springer
14 years 1 months ago
Optimization Issues in Noisy Gaussian ICA
This paper addresses the blind separation of noisy mixtures of independent sources. It discusses issues and techniques related to computing maximum likelihood estimates in Gaussian...
Jean-François Cardoso, Dinh-Tuan Pham
ICASSP
2008
IEEE
14 years 3 months ago
Blind audiovisual separation based on redundant representations
In this work we present a method to perform a complete audiovisual source separation without need of previous information. This method is based on the assumption that sounds are c...
Anna Llagostera Casanovas, Gianluca Monaci, Pierre...
ICML
2007
IEEE
14 years 9 months ago
Multifactor Gaussian process models for style-content separation
We introduce models for density estimation with multiple, hidden, continuous factors. In particular, we propose a generalization of multilinear models using nonlinear basis functi...
Jack M. Wang, David J. Fleet, Aaron Hertzmann