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

J. Cardoso, Multidimensional independent component analysis, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181), pp.1941-1944, 1998.
DOI : 10.1109/ICASSP.1998.681443

E. Vincent, S. Araki, F. J. Theis, G. Nolte, P. Bofill et al., The Signal Separation Evaluation Campaign Achievements and remaining challenges Blind separation of speech mixtures via timefrequency masking, Signal Process. IEEE Trans. Signal Process, vol.92, issue.52 7, pp.1928-1936, 2004.

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

M. Souden, S. Araki, K. Kinoshita, T. Nakatani, and H. Sawada, A Multichannel MMSE-Based Framework for Speech Source Separation and Noise Reduction, IEEE Transactions on Audio, Speech, and Language Processing, vol.21, issue.9, pp.1913-1928, 2013.
DOI : 10.1109/TASL.2013.2263137

A. Liutkus, S. Gorlow, N. Sturmel, S. Zhang, L. Girin et al., Informed source separation : a comparative study, Proc. 20th Eur. Signal Process. Conf., 2012, pp.2397-2401
URL : https://hal.archives-ouvertes.fr/hal-00809525

J. Cardoso, The three easy routes to independent component analysis; contrasts and geometry, Proc. 3rd Int. Conf. Independent Component Analysis and Blind Signal Separation, pp.1-6, 2001.

R. Gribonval and M. Zibulevsky, Sparse component analysis, Handbook of Blind Source Separation, Independent Component Analysis and Applications, pp.367-420, 2010.
DOI : 10.1016/B978-0-12-374726-6.00015-1
URL : https://hal.archives-ouvertes.fr/inria-00541853

E. Vincent, Complex Nonconvex l p Norm Minimization for Underdetermined Source Separation, Proc. 7th Int. Conf. Independent Component Analysis and Signal Separation, pp.430-437, 2007.
DOI : 10.1007/978-3-540-74494-8_54

L. C. Parra and C. V. Alvino, Geometric source separation: merging convolutive source separation with geometric beamforming, IEEE Transactions on Speech and Audio Processing, vol.10, issue.6, pp.352-362, 2002.
DOI : 10.1109/TSA.2002.803443

M. I. Mandel, R. J. Weiss, and D. P. Ellis, Model-Based Expectation-Maximization Source Separation and Localization, IEEE Transactions on Audio, Speech, and Language Processing, vol.18, issue.2, pp.382-394, 2010.
DOI : 10.1109/TASL.2009.2029711

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

N. Q. Duong, E. Vincent, and R. Gribonval, Spatial location priors for Gaussian model based reverberant audio source separation, EURASIP Journal on Advances in Signal Processing, vol.2013, issue.1, p.149, 2013.
DOI : 10.1016/j.sigpro.2011.10.007
URL : https://hal.archives-ouvertes.fr/hal-00727781

E. A. Habets, S. Gannot, and I. Cohen, Late Reverberant Spectral Variance Estimation Based on a Statistical Model, IEEE Signal Processing Letters, vol.16, issue.9, pp.770-773, 2009.
DOI : 10.1109/LSP.2009.2024791

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

A. Benichoux, P. Sudhakar, F. Bimbot, and R. Gribonval, Well-posedness of the permutation problem in sparse filter estimation with minimization, Applied and Computational Harmonic Analysis, vol.35, issue.3, pp.394-406, 2013.
DOI : 10.1016/j.acha.2012.11.001
URL : https://hal.archives-ouvertes.fr/inria-00587789

A. Asaei, M. E. Davies, H. Bourlard, and V. Cevher, Computational methods for structured sparse component analysis of convolutive speech mixtures, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.2425-2428, 2012.
DOI : 10.1109/ICASSP.2012.6288405
URL : https://hal.archives-ouvertes.fr/hal-00700391

A. Deleforge, F. Forbes, and R. Horaud, Variational EM for binaural soundsource separation and localization, Proc. IEEE Int, pp.76-80, 2013.
URL : https://hal.archives-ouvertes.fr/hal-00823453

M. Kowalski and B. Torrésani, Sparsity and persistence: mixed norms provide simple signal models with dependent coefficients, Signal, Image and Video Processing, vol.68, issue.1, pp.251-264, 2009.
DOI : 10.1007/s11760-008-0076-1
URL : https://hal.archives-ouvertes.fr/hal-00206245

C. Févotte, L. Daudet, S. J. Godsill, and B. Torrésani, Sparse Regression with Structured Priors: Application to Audio Denoising, 2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings, pp.57-60, 2006.
DOI : 10.1109/ICASSP.2006.1660589

T. Virtanen, Monaural Sound Source Separation by Nonnegative Matrix Factorization With Temporal Continuity and Sparseness Criteria, IEEE Transactions on Audio, Speech and Language Processing, vol.15, issue.3, pp.1066-1074, 2007.
DOI : 10.1109/TASL.2006.885253

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

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

G. Mysore and M. Sahani, Variational inference in non-negative factorial hidden Markov models for efficient audio source separation, Proc. 29th Int. Conf. Machine Learning, pp.1887-1894, 2012.

J. Durrieu, G. Richard, B. David, and C. Févotte, Source/Filter Model for Unsupervised Main Melody Extraction From Polyphonic Audio Signals, IEEE Transactions on Audio, Speech, and Language Processing, vol.18, issue.3, pp.564-575, 2010.
DOI : 10.1109/TASL.2010.2041114

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

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

P. S. Huang, S. D. Chen, P. Smaragdis, and M. Hasegawa-johnson, Singing-voice separation from monaural recordings using robust principal component analysis, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.57-60, 2012.
DOI : 10.1109/ICASSP.2012.6287816

Z. Rafii and B. Pardo, REpeating Pattern Extraction Technique (REPET): A Simple Method for Music/Voice Separation, IEEE Transactions on Audio, Speech, and Language Processing, vol.21, issue.1, pp.73-84, 2013.
DOI : 10.1109/TASL.2012.2213249

J. Barker, E. Vincent, N. Ma, H. Christensen, and P. Green, The PASCAL CHiME speech separation and recognition challenge, Computer Speech & Language, vol.27, issue.3, pp.621-633, 2013.
DOI : 10.1016/j.csl.2012.10.004
URL : https://hal.archives-ouvertes.fr/hal-00646370

N. Ono, K. Miyamoto, H. Kameoka, J. Le-roux, Y. Uchiyama et al., Harmonic and Percussive Sound Separation and Its Application to MIR-Related Tasks, Advances in Music Information Retrieval, 2010.
DOI : 10.1007/978-3-642-11674-2_10