A. Belouchrani and M. Amin, Blind source separation based on time-frequency signal representations, IEEE Transactions on Signal Processing, vol.46, issue.11, pp.2888-2897, 1998.
DOI : 10.1109/78.726803

P. Bofill and M. Zibulevsky, Underdetermined blind source separation using sparse representations, Signal Processing, vol.81, issue.11, pp.2353-2362, 2001.
DOI : 10.1016/S0165-1684(01)00120-7

O. Y?lmaz and S. T. Rickard, Blind Separation of Speech Mixtures via Time-Frequency Masking, IEEE Transactions on Signal Processing, vol.52, issue.7, pp.1830-1847, 2004.
DOI : 10.1109/TSP.2004.828896

P. O. Grady, B. Pearlmutter, and S. Rickard, Survey of sparse and non-sparse methods in source separation, International Journal of Imaging Systems and Technology, vol.47, issue.33, pp.18-33, 2005.
DOI : 10.1002/ima.20035

M. Puigt and Y. Deville, Time???frequency ratio-based blind separation methods for attenuated and time-delayed sources, Mechanical Systems and Signal Processing, vol.19, issue.6, pp.1348-1379, 2005.
DOI : 10.1016/j.ymssp.2005.08.003

URL : https://hal.archives-ouvertes.fr/hal-00270877

S. Arberet, R. Gribonval, and F. Bimbot, A Robust Method to Count and Locate Audio Sources in a Multichannel Underdetermined Mixture, IEEE Transactions on Signal Processing, vol.58, issue.1, pp.121-133, 2010.
DOI : 10.1109/TSP.2009.2030854

URL : https://hal.archives-ouvertes.fr/inria-00489529

S. Arberet, P. Sudhakar, and R. , A wideband doubly-sparse approach for MITO sparse filter estimation, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2011.
DOI : 10.1109/ICASSP.2011.5947085

URL : https://hal.archives-ouvertes.fr/inria-00567210

W. Kellermann and H. Buchner, Wideband algorithms versus narrowband algorithms for adaptive filtering in the DFT domain, Signals, Systems and Computers, Conference Record of the Thirty-Seventh Asilomar Conference on, pp.1278-1282, 2003.

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

M. Zibulevsky, B. A. Pearlmutter, P. Bofill, and P. Kisilev, Blind source separation by sparse decomposition in a signal dictionary, in: Independent Component Analysis : Principles and Practice, pp.181-208, 2001.

E. Vincent, Complex Nonconvex l p Norm Minimization for Underdetermined Source Separation, Proc. Int. Conf. on Independent Component Analysis and Blind Source Separation (ICA), pp.430-437, 2007.
DOI : 10.1007/978-3-540-74494-8_54

C. Févotte and S. , A Bayesian approach for blind separation of sparse sources, Audio, Speech, and Language Processing, IEEE Transactions on, vol.14, issue.6, pp.2174-2188, 2006.

M. E. Davies and N. Mitianoudis, Simple mixture model for sparse overcomplete ICA, IEE Proceedings on Vision, pp.35-43, 2004.
DOI : 10.1049/ip-vis:20040304

E. Vincent, S. Arberet, and R. , Underdetermined Instantaneous Audio Source Separation via Local Gaussian Modeling, Proc. Int. Conf. on Independent Component Analysis and Blind Source Separation (ICA), 2009.
DOI : 10.1109/TSP.2004.828896

URL : https://hal.archives-ouvertes.fr/hal-00482223

L. Benaroya and F. Bimbot, Wiener based source separation with HMM/GMM using a single sensor, Proc. ICA, pp.957-961, 2003.

A. Ozerov, P. Philippe, F. Bimbot, and R. , Adaptation of Bayesian models for single-channel source separation and its application to voice/music separation in popular songs, Audio, Speech and Language Processing, IEEE Transactions on, vol.15, issue.5, pp.1564-1578, 2007.

L. Benaroya, F. Bimbot, and R. , Audio source separation with a single sensor, Audio, Speech, and Language Processing, IEEE Transactions on, vol.14, issue.1, pp.191-199, 2006.

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

E. Moulines, J. Cardoso, and E. Gassiat, Maximum likelihood for blind separation and deconvolution of noisy signals using mixture models, Acoustics, Speech, and Signal Processing, 1997. ICASSP-97, IEEE International Conference on 5, pp.3617-3620, 1997.

J. Berger, Statistical decision theory and Bayesian analysis, 1985.
DOI : 10.1007/978-1-4757-4286-2

L. Deng, J. Droppo, and A. Acero, Dynamic compensation of HMM variances using the feature enhancement uncertainty computed from a parametric model of speech distortion, IEEE Transactions on Speech and Audio Processing, vol.13, issue.3, pp.412-421, 2005.
DOI : 10.1109/TSA.2005.845814

Z. Ghahramani and M. Jordan, Supervised learning from incomplete data via the EM approach, Advances in Neural Information Processing Systems (NIPS), 1994.

T. Virtanen, A. Mesaros, and M. Ryynanen, Combining pitch-based inference and non-negative spectrogram factorization in separating vocals from polyphonic music, ISCA Tutorial and Research Workshop on Statistical And Perceptual Audition SAPA, 2008.

H. Attias, Independent Factor Analysis, Neural Computation, vol.4, issue.4, pp.803-851, 1999.
DOI : 10.1007/BF02293851

H. Attias, New EM algorithms for source separation and deconvolution, Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing, pp.297-300, 2003.
DOI : 10.1109/icassp.2003.1199930

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.2.4233

A. Ozerov, E. Vincent, and F. Bimbot, A General Modular Framework for Audio Source Separation, 9th International Conference on Latent Variable Analysis and Signal Separation (LVA/ICA'10), pp.33-40, 2010.
DOI : 10.1007/978-3-642-15995-4_5

URL : https://hal.archives-ouvertes.fr/inria-00553504

Z. Ghahramani and M. I. Jordan, Factorial hidden Markov models, Machine Learning, vol.29, issue.2/3, pp.245-273, 1997.
DOI : 10.1023/A:1007425814087

S. Arberet, A. Ozerov, R. Gribonval, and F. Bimbot, Blind Spectral-GMM Estimation for Underdetermined Instantaneous Audio Source Separation, Proc. Int. Conf. on Independent Component Analysis and Blind Source Separation, pp.751-758, 2009.
DOI : 10.1109/TSP.2004.828896

URL : https://hal.archives-ouvertes.fr/hal-00482287

C. Bishop, Pattern recognition and machine learning, 2006.

B. Picinbono, On circularity, IEEE Transactions on Signal Processing, vol.42, issue.12, pp.3473-3482, 2002.
DOI : 10.1109/78.340781

A. Ozerov, Adaptation de modèles statistiques pour la séparation de sources mono-capteur. ApplicationàApplication`Applicationà la séparation voix/musique dans les chansons, 2006.

E. Vincent, S. Araki, and P. Bofill, The 2008 Signal Separation Evaluation Campaign: A Community-Based Approach to Large-Scale Evaluation, Proc. of International Conference on Independent Component Analysis and Signal Separation, 2009.
DOI : 10.1109/TASL.2007.899176

URL : https://hal.archives-ouvertes.fr/inria-00544168

E. Vincent, R. Gribonval, and C. Févotte, Performance measurement in blind audio source separation, IEEE Transactions on Audio, Speech and Language Processing, vol.14, issue.4, pp.1462-1469, 2006.
DOI : 10.1109/TSA.2005.858005

URL : https://hal.archives-ouvertes.fr/inria-00544230

V. Pulkki and M. Karjalainen, Localization of amplitude-panned virtual sources I: stereophonic panning, Journal of the Audio Engineering Society, vol.49, issue.9, pp.739-752, 2001.

D. Campbell, K. Palomaki, and G. Brown, Roomsim, a MATLAB simulation of shoebox room acoustics for use in teaching and research, Computing and Information Systems, vol.9, issue.3, pp.48-51, 2005.

E. Vincent, H. Sawada, P. Bofill, S. Makino, and J. Rosca, First Stereo Audio Source Separation Evaluation Campaign: Data, Algorithms and Results, Lecture Notes in Computer Science, vol.4666, issue.552, 2007.
DOI : 10.1007/978-3-540-74494-8_69

URL : https://hal.archives-ouvertes.fr/inria-00544199

N. Duong, E. Vincent, and R. , Under-determined convolutive blind source separation using spatial covariance models, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing, p.30, 2010.
DOI : 10.1109/ICASSP.2010.5496284

URL : https://hal.archives-ouvertes.fr/inria-00541863

S. Arberet, A. Ozerov, N. Duong, E. Vincent, R. Gribonval et al., Nonnegative matrix factorization and spatial covariance model for under-determined reverberant audio source separation, 10th International Conference on Information Science, Signal Processing and their Applications (ISSPA 2010), pp.1-4, 2010.
DOI : 10.1109/ISSPA.2010.5605570

URL : https://hal.archives-ouvertes.fr/inria-00541436

T. Jaakkola and M. Jordan, Bayesian parameter estimation via variational methods, Statistics and Computing, vol.10, issue.1, pp.25-37, 2000.
DOI : 10.1023/A:1008932416310

N. Duong, E. Vincent, and R. , Spatial covariance models for under-determined reverberant audio source separation, 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