R. Gribonval and M. Zibulevsky, Sparse Component Analysis, " in Handbook of Blind Source Separation, Independent Component Analysis and Applications, pp.367-420, 2010.

E. Vincent, M. G. Jafari, S. A. Abdallah, M. D. Plumbley, and M. E. 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

E. Vincent, N. Bertin, R. Gribonval, and F. Bimbot, From Blind to Guided Audio Source Separation: How models and side information can improve the separation of sound, IEEE Signal Processing Magazine, vol.31, issue.3, pp.107-115, 2014.
DOI : 10.1109/MSP.2013.2297440
URL : https://hal.archives-ouvertes.fr/hal-00922378

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, A. T. Cemgil, and S. Godsill, Bayesian extensions to nonnegative matrix factorisation for audio signal modelling, Proc. IEEE Int, 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), pp.1-5, 2015.
DOI : 10.1109/WASPAA.2015.7336900
URL : https://hal.archives-ouvertes.fr/hal-01170924

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

K. Yoshii, K. Itoyama, and M. Goto, Student's t nonnegative matrix factorization and positive semidefinite tensor factorization for singlechannel audio source separation, Proc. IEEE Int, pp.51-55, 2016.
DOI : 10.1109/icassp.2016.7471635

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

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

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

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

R. Badeau and M. D. Plumbley, Multichannel High-Resolution NMF for Modeling Convolutive Mixtures of Non-Stationary Signals in the Time-Frequency Domain, IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol.22, issue.11, pp.1670-1680, 2014.
DOI : 10.1109/TASLP.2014.2341920

X. Li, L. Girin, and R. Horaud, Audio source separation based on convolutive transfer function and frequency-domain lasso optimization, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017.
DOI : 10.1109/ICASSP.2017.7952214
URL : https://hal.archives-ouvertes.fr/hal-01430754

M. Kowalski, E. Vincent, and R. Gribonval, Beyond the Narrowband Approximation: Wideband Convex Methods for Under-Determined Reverberant Audio Source Separation, IEEE Transactions on Audio, Speech, and Language Processing, vol.18, issue.7, pp.1818-1829, 2010.
DOI : 10.1109/TASL.2010.2050089
URL : https://hal.archives-ouvertes.fr/hal-00435897

S. Arberet and P. Vandergheynst, Reverberant Audio Source Separation via Sparse and Low-Rank Modeling, IEEE Signal Processing Letters, vol.21, issue.4, pp.404-408, 2014.
DOI : 10.1109/LSP.2014.2303135
URL : http://arxiv.org/abs/1312.2795

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

S. Leglaive, R. Badeau, and G. Richard, Multichannel audio source separation: Variational inference of time-frequency sources from time-domain observations, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017.
DOI : 10.1109/ICASSP.2017.7951791
URL : https://hal.archives-ouvertes.fr/hal-01416347

C. M. Bishop, Pattern Recognition and Machine Learning, 2006.

C. Fevotte and S. J. , A Bayesian Approach for Blind Separation of Sparse Sources, IEEE Transactions on Audio, Speech and Language Processing, vol.14, issue.6, pp.2174-2188, 2006.
DOI : 10.1109/TSA.2005.858523

D. Kounades-bastian, L. Girin, X. Alameda-pineda, S. Gannot, and R. Horaud, An inverse-gamma source variance prior with factorized parameterization for audio source separation, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.136-140, 2016.
DOI : 10.1109/ICASSP.2016.7471652
URL : https://hal.archives-ouvertes.fr/hal-01253169

M. Vinyes, MTG MASS dataset, 2008.

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 Process, vol.92, 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.

A. Ozerov, C. Févotte, R. Blouet, and J. Durrieu, Multichannel nonnegative tensor factorization with structured constraints for userguided audio source separation, Proc. IEEE Int, pp.257-260, 2011.
DOI : 10.1109/icassp.2011.5946389
URL : https://hal.archives-ouvertes.fr/inria-00564851

A. Benichoux, L. S. Simon, E. Vincent, and R. Gribonval, Convex Regularizations for the Simultaneous Recording of Room Impulse Responses, IEEE Transactions on Signal Processing, vol.62, issue.8, 1976.
DOI : 10.1109/TSP.2014.2303431
URL : https://hal.archives-ouvertes.fr/hal-00749585