L. Parra and C. Spence, Convolutive blind separation of non-stationary sources, IEEE Transactions on Speech and Audio Processing, vol.8, issue.3, pp.320-327, 2000.
DOI : 10.1109/89.841214

E. Vincent, M. G. Jafari, S. A. Abdallah, M. Plumbley, and M. Davies, Probabilistic Modeling Paradigms for Audio Source Separation, Machine Audition: Principles, Algorithms and Systems, pp.162-185, 2010.
DOI : 10.4018/978-1-61520-919-4.ch007

URL : https://hal.archives-ouvertes.fr/inria-00544016

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

A. Ozerov and C. Févotte, Multichannel Nonnegative Matrix Factorization in Convolutive Mixtures for Audio Source Separation, IEEE Transactions on Audio, Speech, and Language Processing, vol.18, issue.3, pp.550-563, 2010.
DOI : 10.1109/TASL.2009.2031510

A. Ozerov, C. Févotte, R. Blouet, and J. Durrieu, Multichannel nonnegative tensor factorization with structured constraints for userguided audio source separation, Proc. of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp.257-260, 2011.
DOI : 10.1109/icassp.2011.5946389

URL : https://hal.archives-ouvertes.fr/inria-00564851

N. Q. Duong, E. Vincent, and R. Gribonval, Under-Determined Reverberant Audio Source Separation Using a Full-Rank Spatial Covariance Model, IEEE Transactions on Audio, Speech, and Language Processing, vol.18, issue.7, pp.1830-1840, 2010.
DOI : 10.1109/TASL.2010.2050716

URL : https://hal.archives-ouvertes.fr/inria-00435807

A. Ozerov, E. Vincent, and F. Bimbot, A General Flexible Framework for the Handling of Prior Information in Audio Source Separation, IEEE Transactions on Audio, Speech, and Language Processing, vol.20, issue.4, pp.1118-1133, 2012.
DOI : 10.1109/TASL.2011.2172425

URL : https://hal.archives-ouvertes.fr/inria-00536917

C. Févotte, N. Bertin, and J. Durrieu, Nonnegative Matrix Factorization with the Itakura-Saito Divergence: With Application to Music Analysis, Neural Computation, vol.14, issue.3, pp.793-830, 2009.
DOI : 10.1016/j.sigpro.2007.01.024

T. Virtanen, T. Cemgil, and S. Godsill, Bayesian extensions to nonnegative matrix factorisation for audio signal modelling, Proc. of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.1825-1828, 2008.
DOI : 10.1109/icassp.2008.4517987

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.401.4325

A. Liutkus, D. Fitzgerald, and R. Badeau, Cauchy nonnegative matrix factorization, 2015 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), 2015.
DOI : 10.1109/WASPAA.2015.7336900

URL : https://hal.archives-ouvertes.fr/hal-01170924

U. S. ¸-ims¸ekliims¸ekli, A. Liutkus, and T. Cemgil, Alpha-stable matrix factorization, IEEE Signal Processing Letters, vol.22, issue.12, pp.2289-2293, 2015.

A. Nugraha, A. Liutkus, and E. Vincent, Multichannel Audio Source Separation With Deep Neural Networks, IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol.24, issue.9, 2016.
DOI : 10.1109/TASLP.2016.2580946

URL : https://hal.archives-ouvertes.fr/hal-01163369

K. Yoshii, K. Itoyama, and M. Goto, Student's t nonnegative matrix factorization and positive semidefinite tensor factorization for singlechannel audio source separation, Proc. of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.51-55, 2016.
DOI : 10.1109/icassp.2016.7471635

P. Magron, R. Badeau, and A. Liutkus, Lévy NMF for robust nonnegative source separation, 2016.

D. Fitzgerald, A. Liutkus, and R. Badeau, PROJET ??? Spatial audio separation using projections, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.36-40, 2016.
DOI : 10.1109/ICASSP.2016.7471632

URL : https://hal.archives-ouvertes.fr/hal-01248014

D. Fitzgerald, A. Liutkus, and R. Badeau, Projection-Based Demixing of Spatial Audio, IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol.24, issue.9, pp.1560-1572, 2016.
DOI : 10.1109/TASLP.2016.2570945

URL : https://hal.archives-ouvertes.fr/hal-01260588

K. Kitamura, Y. Bando, K. Itoyama, and K. Yoshii, Student's t multichannel nonnegative matrix factorization for blind source separation, 2016 IEEE International Workshop on Acoustic Signal Enhancement (IWAENC), pp.1-5, 2016.
DOI : 10.1109/IWAENC.2016.7602889

]. A. Liutkus, A. Ozerov, R. Badeau, and G. Richard, Spatial codingbased informed source separation, Proc. of European Signal Processing Conference (EUSIPCO), pp.2407-2411, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00869618

G. Samoradnitsky and M. Taqqu, Stable non-Gaussian random processes: stochastic models with infinite variance, 1994.

J. P. Nolan, Multivariate elliptically contoured stable distributions: theory and estimation, Computational Statistics, vol.55, issue.2, pp.2067-2089, 2013.
DOI : 10.1007/s00180-013-0396-7

URL : http://academic2.american.edu/%7Ejpnolan/stable/EllipticalStable.pdf

G. C. Wei and M. A. Tanner, A Monte Carlo Implementation of the EM Algorithm and the Poor Man's Data Augmentation Algorithms, Journal of the American Statistical Association, vol.51, issue.411, pp.699-704, 1990.
DOI : 10.1214/aos/1176346060

A. Dempster, N. Laird, and D. Rubin, Maximum likelihood from incomplete data via the EM algorithm, Journal of the royal statistical society. Series B (Methodological), pp.1-38, 1977.

E. Vincent and D. R. Campbell, Roomsimove, 2008.

E. Vincent, S. Araki, F. J. Theis, G. Nolte, P. Bofill et al., The signal separation evaluation campaign Achievements and remaining challenges, Signal Processing, vol.92, issue.8, 1928.
DOI : 10.1016/j.sigpro.2011.10.007

URL : https://hal.archives-ouvertes.fr/inria-00579398

E. Vincent, BSS Eval Toolbox Version 3.0 for Matlab, 2007.

M. Parvaix and L. Girin, Informed Source Separation of Linear Instantaneous Under-Determined Audio Mixtures by Source Index Embedding, IEEE Transactions on Audio, Speech, and Language Processing, vol.19, issue.6, pp.1721-1733, 2011.
DOI : 10.1109/TASL.2010.2097250

URL : https://hal.archives-ouvertes.fr/hal-00695763

A. Ozerov, A. Liutkus, R. Badeau, and G. Richard, Informed source separation: Source coding meets source separation, 2011 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), pp.257-260, 2011.
DOI : 10.1109/ASPAA.2011.6082285

URL : https://hal.archives-ouvertes.fr/inria-00610526

W. S. Cleveland and S. J. Devlin, Locally Weighted Regression: An Approach to Regression Analysis by Local Fitting, Journal of the American Statistical Association, vol.41, issue.810345, pp.596-610, 1988.
DOI : 10.1080/01621459.1988.10478639