S. Arberet, A. Ozerov, R. Gribonval, and F. Bimbot, Blind Spectral-GMM Estimation for Underdetermined Instantaneous Audio Source Separation, Proceedings of the 8 th International Conference on Independent Component Analysis and Signal Separation, pp.751-758, 2009.
DOI : 10.1109/TSP.2004.828896
URL : https://hal.archives-ouvertes.fr/hal-00482287

H. Attias, New EM algorithms for source separation and deconvolution with a microphone array, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)., pp.297-300, 2003.
DOI : 10.1109/ICASSP.2003.1199930

L. Benaroya, L. Mcdonagh, F. Bimbot, and R. Gribonval, Non negative sparse representation for Wiener based source separation with a single sensor, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)., pp.613-616, 2003.
DOI : 10.1109/ICASSP.2003.1201756
URL : https://hal.archives-ouvertes.fr/inria-00574784

L. Benaroya, F. Bimbot, and R. Gribonval, Audio source separation with a single sensor, IEEE Transactions on Audio, Speech and Language Processing, vol.14, issue.1, pp.191-199, 2006.
DOI : 10.1109/TSA.2005.854110
URL : https://hal.archives-ouvertes.fr/inria-00544949

R. Blouet, G. Rapaport, I. Cohen, and C. Févotte, Evaluation of several strategies for single sensor speech/music separation, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, pp.37-40, 2008.
DOI : 10.1109/ICASSP.2008.4517540

T. Blumensath and M. E. Davies, Sparse and shift-Invariant representations of music, IEEE Transactions on Audio, Speech and Language Processing, vol.14, issue.1, pp.50-57, 2006.
DOI : 10.1109/TSA.2005.860346

J. Cardoso, Multidimensional independent component analysis, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181), 1941.
DOI : 10.1109/ICASSP.1998.681443
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.15.6376

J. Cardoso, The three easy routes to independent component analysis; contrasts and geometry, Proceedings of the 3 rd International Conference on Independent Component Analysis and Blind Signal Separation, pp.1-6, 2001.

A. T. Cemgil, C. Févotte, and S. J. Godsill, Variational and stochastic inference for Bayesian source separation, Digital Signal Processing, vol.17, issue.5, pp.891-913, 2007.
DOI : 10.1016/j.dsp.2007.03.008
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.333.9835

A. P. Dempster, N. M. Laird, and D. B. Rubin, Maximum-likelihood from incomplete data via the EM algorithm, Journal of the Royal Statistical Society, Series B, vol.39, issue.1, pp.1-38, 1977.

N. Q. Duong, E. Vincent, and R. Gribonval, Spatial covariance models for underdetermined reverberant audio source separation, Proceedings of the 2009 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, pp.129-132, 2009.
DOI : 10.1109/aspaa.2009.5346503
URL : https://hal.archives-ouvertes.fr/hal-00481529

E. Chami, Z. Pham, D. T. Servière, C. Guerin, and A. , A new model-based underdetermined source separation, Proceedings of the 11 th International Workshop on Acoustic Echo and Noise Control, 2008.

D. P. Ellis, Prediction-driven computational auditory scene analysis, 1996.

D. P. Ellis, Model-based scene analysis, Computational Auditory Scene Analysis: Principles, Algorithms, and Applications, pp.115-146, 2006.

M. F. Fallon, S. J. Godsill, and A. Blake, Joint acoustic source location and orientation estimation using sequential Monte Carlo, Proceedings of the 9 th International Conference on Digital Audio Effects, pp.203-208, 2006.

C. Févotte and J. Cardoso, Maximum likelihood approach for blind audio source separation using time-frequency Gaussian source models, IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2005., pp.78-81, 2005.
DOI : 10.1109/ASPAA.2005.1540173

D. Fitzgerald, M. Cranitch, and E. Coyle, Extended Nonnegative Tensor Factorisation Models for Musical Sound Source Separation, Computational Intelligence and Neuroscience, vol.2008, 2008.
DOI : 10.1109/TSA.2005.858005

A. Gelman, J. B. Carlin, H. S. Stern, and D. B. Rubin, Bayesian Data Analysis, 2003.

B. V. Gowreesunker and A. H. Tewfik, Two Improved Sparse Decomposition Methods for Blind Source Separation, Proceedings of the 7 th International Conference on Independent Component Analysis and Signal Separation, pp.365-372, 2007.
DOI : 10.1007/978-3-540-74494-8_46

T. Gustafsson, B. D. Rao, and M. Trivedi, Source localization in reverberant environments: modeling and statistical analysis, IEEE Transactions on Speech and Audio Processing, vol.11, issue.6, pp.791-803, 2003.
DOI : 10.1109/TSA.2003.818027

Y. Izumi, N. Ono, and S. Sagayama, Sparseness-Based 2CH BSS using the EM Algorithm in Reverberant Environment, 2007 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, pp.147-150, 2007.
DOI : 10.1109/ASPAA.2007.4393015

G. Jang and T. Lee, A maximum likelihood approach to single-channel source separation, Journal of Machine Learning Research, vol.4, issue.78, pp.1365-1392, 2004.

T. T. Kristjánsson, J. R. Hershey, P. A. Olsen, S. J. Rennie, and R. A. Gopinath, Super-human multi-talker speech recognition: The IBM 2006 speech separation challenge system, Proceedings of the 9 th International Conference on Spoken Language Processing, pp.97-100, 2006.

I. Lee, T. Kim, and T. Lee, Independent Vector Analysis for Convolutive Blind Speech Separation, Blind speech separation, pp.169-192, 2007.
DOI : 10.1007/978-1-4020-6479-1_6

I. Lee, Permutation Correction in Blind Source Separation Using Sliding Subband Likelihood Function, Proceedings of the 8 th International Conference on Independent Component Analysis and Signal Separation, pp.767-774, 2009.
DOI : 10.1121/1.382599

S. Makino, T. Lee, and H. Sawada, Blind Speech Separation, 2007.
DOI : 10.1007/978-1-4020-6479-1

M. I. Mandel, D. P. Ellis, and T. Jebara, An EM algorithm for localizing multiple sound sources in reverberant environments, Advances in Neural Information Processing Systems 19, pp.953-960, 2007.

N. Mitianoudis and M. E. Davies, Audio source separation of convolutive mixtures, IEEE Transactions on Speech and Audio Processing, vol.11, issue.5, pp.489-497, 2003.
DOI : 10.1109/TSA.2003.815820

R. Mukai, H. Sawada, S. Araki, and S. Makino, Blind source separation for moving speech signals using blockwise ICA and residual crosstalk subtraction, IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences, issue.8, pp.87-1941, 2004.
DOI : 10.1007/3-540-27489-8_15

A. Nesbit, E. Vincent, and M. D. Plumbley, Extension of Sparse, Adaptive Signal Decompositions to Semi-blind Audio Source Separation, Proceedings of the 8 th International Conference on Independent Component Analysis and Signal Separation, pp.605-612, 2009.
DOI : 10.1016/j.sigpro.2007.01.016
URL : https://hal.archives-ouvertes.fr/inria-00544153

F. Nesta, M. Omologo, and P. Svaizer, Separating Short Signals in Highly Reverberant Environment by a Recursive Frequency-Domain BSS, 2008 Hands-Free Speech Communication and Microphone Arrays, pp.232-235, 2008.
DOI : 10.1109/HSCMA.2008.4538729

J. Nix and V. Hohmann, Combined Estimation of Spectral Envelopes and Sound Source Direction of Concurrent Voices by Multidimensional Statistical Filtering, IEEE Transactions on Audio, Speech and Language Processing, vol.15, issue.3, pp.995-1008, 2007.
DOI : 10.1109/TASL.2006.889788

J. Nocedal and S. J. Wright, Numerical Optimization, 2 nd Edition, 2006.

O. Grady, P. D. Pearlmutter, and B. A. , The LOST algorithm: finding lines and separating speech mixtures, EURASIP Journal on Advances in Signal Processing, p.784296, 2008.

A. Ozerov, P. Philippe, F. Bimbot, and R. Gribonval, Adaptation of Bayesian Models for Single-Channel Source Separation and its Application to Voice/Music Separation in Popular Songs, IEEE Transactions on Audio, Speech and Language Processing, vol.15, issue.5, pp.1564-1578, 2007.
DOI : 10.1109/TASL.2007.899291
URL : https://hal.archives-ouvertes.fr/inria-00544774

A. Ozerov and C. Févotte, Multichannel nonnegative matrix factorization in convolutive mixtures. With application to blind audio source separation, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing, pp.3137-3140, 2009.
DOI : 10.1109/ICASSP.2009.4960289

J. M. Peterson and S. Kadambe, A probabilistic approach for blind source separation of underdetermined convolutive mixtures, Proceedings of the 2003 IEEE International Conference on Acoustics, Speech and Signal Processing, pp.581-584, 2003.

D. Pham, C. Servière, and H. Boumaraf, Blind separation of speech mixtures based on nonstationarity, Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings., pp.73-76, 2003.
DOI : 10.1109/ISSPA.2003.1224818

M. Puigt, E. Vincent, and Y. Deville, Validity of the Independence Assumption for the Separation of Instantaneous and Convolutive Mixtures of Speech and Music Sources, Proceedings of the 8 th International Conference on Independent Component Analysis and Signal Separation, pp.613-620, 2009.
DOI : 10.1016/j.sigpro.2006.02.032
URL : https://hal.archives-ouvertes.fr/inria-00544163

S. J. Rennie, J. R. Hershey, and P. A. Olsen, Efficient model-based speech separation and denoising using non-negative subspace analysis, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, pp.1833-1836, 2008.
DOI : 10.1109/ICASSP.2008.4517989
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.453.6636

N. Roman and D. L. Wang, Binaural Tracking of Multiple Moving Sources, IEEE Transactions on Audio, Speech, and Language Processing, vol.16, issue.4, pp.728-739, 2008.
DOI : 10.1109/TASL.2008.918978
URL : http://www.dtic.mil/get-tr-doc/pdf?AD=AD1001197

S. T. Roweis, One microphone source separation, Advances in Neural Information Processing Systems 13, pp.793-799, 2001.

H. Sawada, S. Araki, R. Mukai, and S. Makino, Grouping Separated Frequency Components by Estimating Propagation Model Parameters in Frequency-Domain Blind Source Separation, IEEE Transactions on Audio, Speech and Language Processing, vol.15, issue.5, pp.1592-1604, 2007.
DOI : 10.1109/TASL.2007.899218

M. N. Schmidt and R. K. Olsson, Linear Regression on Sparse Features for Single-Channel Speech Separation, 2007 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, pp.26-29, 2007.
DOI : 10.1109/ASPAA.2007.4393010

P. Smaragdis, Blind separation of convolved mixtures in the frequency domain, Neurocomputing, vol.22, issue.1-3, pp.21-34, 1998.
DOI : 10.1016/S0925-2312(98)00047-2

P. Smaragdis, Convolutive Speech Bases and Their Application to Supervised Speech Separation, IEEE Transactions on Audio, Speech and Language Processing, vol.15, issue.1, pp.1-12, 2007.
DOI : 10.1109/TASL.2006.876726

S. Srinivasan, J. Samuelsson, and W. B. Kleijn, Codebook driven short-term predictor parameter estimation for speech enhancement, IEEE Transactions on Audio, Speech and Language Processing, vol.14, issue.1, pp.163-176, 2006.
DOI : 10.1109/TSA.2005.854113

H. L. Trees and . Van, Optimum array processing, 2002.

E. Vincent, Musical source separation using time-frequency source priors, IEEE Transactions on Audio, Speech and Language Processing, vol.14, issue.1, pp.91-98, 2006.
DOI : 10.1109/TSA.2005.860342
URL : https://hal.archives-ouvertes.fr/inria-00544269

E. Vincent, Complex nonconvex lp norm minimization for underdetermined source separation, Proceedings of the 7 th International Conference on Independent Component Analysis and Signal Separation, pp.430-437, 2007.
URL : https://hal.archives-ouvertes.fr/inria-00544203

E. Vincent, S. Araki, and P. Bofill, The 2008 Signal Separation Evaluation Campaign: A Community-Based Approach to Large-Scale Evaluation, Proceedings of the 8 th International Conference on Independent Component Analysis and Signal Separation, pp.734-741, 2009.
DOI : 10.1109/TASL.2007.899176
URL : https://hal.archives-ouvertes.fr/inria-00544168

E. Vincent, S. Arberet, and R. Gribonval, Underdetermined Instantaneous Audio Source Separation via Local Gaussian Modeling, Proceedings of the 8 th International Conference on Independent Component Analysis and Signal Separation, pp.775-782, 2009.
DOI : 10.1109/TSP.2004.828896
URL : https://hal.archives-ouvertes.fr/hal-00482223

T. Virtanen and A. T. Cemgil, Mixtures of Gamma Priors for Non-negative Matrix Factorization Based Speech Separation, Proceedings of the 8 th International Conference on Independent Component Analysis and Signal Separation, pp.646-653, 2009.
DOI : 10.1007/978-3-642-00599-2_81

D. L. Wang and G. J. Brown, Computational Auditory Scene Analysis: Principles, Algorithms and Applications, 2006.
DOI : 10.1109/9780470043387

R. J. Weiss, M. M. Mandel, and D. P. Ellis, Source separation based on binaural cues and source model constraints, Proceedings of the 10 th ISCA Interspeech Conference, pp.419-422, 2008.

R. J. Weiss and D. P. Ellis, Speech separation using speaker-adapted eigenvoice speech models, Computer Speech & Language, vol.24, issue.1
DOI : 10.1016/j.csl.2008.03.003

J. Winn and C. M. Bishop, Variational message passing, Journal of Machine Learning Research, vol.6, pp.661-694, 2005.