T. Heittola, A. Klapuri, and T. Virtanen, Musical instrument recognition in polyphonic audio using source-filter model for sound separation, Proc. Int. Soc. Music Inf. Retrieval Conf. (ISMIR), pp.327-332, 2009.

J. Durrieu, B. David, and G. Richard, A Musically Motivated Mid-Level Representation for Pitch Estimation and Musical Audio Source Separation, IEEE Journal of Selected Topics in Signal Processing, vol.5, issue.6, pp.1180-1191, 2011.
DOI : 10.1109/JSTSP.2011.2158801

H. Tachibana, T. Ono, N. Ono, and S. Sagayama, Melody line estimation in homophonic music audio signals based on temporal-variability of melodic source, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing, pp.425-428, 2010.
DOI : 10.1109/ICASSP.2010.5495764

S. Leglaive, R. Hennequin, and R. Badeau, Singing voice detection with deep recurrent neural networks, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.121-125, 2015.
DOI : 10.1109/ICASSP.2015.7177944
URL : https://hal.archives-ouvertes.fr/hal-01110035

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

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

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

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. Simsekli, A. Liutkus, and A. T. , Alpha-Stable Matrix Factorization, IEEE Signal Processing Letters, vol.22, issue.12, pp.2289-2293, 2015.
DOI : 10.1109/LSP.2015.2477535
URL : https://hal.archives-ouvertes.fr/hal-01194354

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

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

P. Smaragdis and G. J. Mysore, Separation by “humming”: User-guided sound extraction from monophonic mixtures, 2009 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, pp.69-72, 2009.
DOI : 10.1109/ASPAA.2009.5346542

J. Ganseman, P. Scheunders, G. J. Mysore, and J. S. Abel, Evaluation of a score-informed source separation system, Proc. Int. Soc. Music Inf. Retrieval Conf. (ISMIR), pp.219-224, 2010.

R. Hennequin, B. David, and R. Badeau, Score informed audio source separation using a parametric model of non-negative spectrogram, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.45-48, 2011.
DOI : 10.1109/ICASSP.2011.5946324
URL : https://hal.archives-ouvertes.fr/hal-00945294

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, pp.1652-1664, 2016.
DOI : 10.1109/TASLP.2016.2580946
URL : https://hal.archives-ouvertes.fr/hal-01163369

T. Otsuka, K. Ishiguro, T. Yoshioka, H. Sawada, and H. G. Okuno, Multichannel Sound Source Dereverberation and Separation for Arbitrary Number of Sources Based on Bayesian Nonparametrics, IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol.22, issue.12, pp.2218-2232, 2014.
DOI : 10.1109/TASLP.2014.2363790

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

S. Leglaive, R. Badeau, and G. Richard, A priori probabiliste anécho¨anécho¨?que pour la séparation sous-déterminée de sources sonores en milieu réverbérant, Colloque GRETSI

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. IEEE Int, pp.257-260, 2011.
URL : https://hal.archives-ouvertes.fr/inria-00564851

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

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. Kounades-bastian, L. Girin, X. Alameda-pineda, S. Gannot, R. Horaud et al., A Variational EM Algorithm for the Separation of Time-Varying Convolutive Audio Mixtures, Proc. IEEE Int. Conf. Acoust., Speech, Signal Process. (ICASSP), Honk Kong, pp.1408-1423, 2003.
DOI : 10.1109/TASLP.2016.2554286
URL : https://hal.archives-ouvertes.fr/hal-01301762

A. Liutkus, R. Badeau, and G. Richard, Gaussian Processes for Underdetermined Source Separation, IEEE Transactions on Signal Processing, vol.59, issue.7, pp.3155-3167, 2011.
DOI : 10.1109/TSP.2011.2119315
URL : https://hal.archives-ouvertes.fr/hal-00643951

A. Liutkus and R. Badeau, Generalized Wiener filtering with fractional power spectrograms, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.266-270, 2015.
DOI : 10.1109/ICASSP.2015.7177973
URL : https://hal.archives-ouvertes.fr/hal-01110028

A. P. Dempster, N. M. Laird, and D. B. Rubin, Maximum likelihood from incomplete data via the EM algorithm, J. R. Stat. Soc. Ser. B (Methodological), pp.1-38, 1977.

A. Lindau, L. Kosanke, and S. Weinzierl, Perceptual evaluation of physical predictors of the mixing time in binaural room impulse responses, Audio Engin. Soc. Conv. 128, 2010.

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

R. Kumaresan, On the zeros of the linear prediction-error filter for deterministic signals, IEEE Transactions on Acoustics, Speech, and Signal Processing, vol.31, issue.1, pp.217-220, 1983.
DOI : 10.1109/TASSP.1983.1164021

T. Schultz, Diffusion in reverberation rooms, Journal of Sound and Vibration, vol.16, issue.1, pp.17-28, 1971.
DOI : 10.1016/0022-460X(71)90392-0

J. Jot, L. Cerveau, and O. Warusfel, Analysis and synthesis of room reverberation based on a statistical time-frequency model, Audio Engin. Soc. Conv. 103, 1997.
URL : https://hal.archives-ouvertes.fr/hal-01106981

M. R. Schroeder, Frequency???Correlation Functions of Frequency Responses in Rooms, The Journal of the Acoustical Society of America, vol.34, issue.12, pp.1819-1823, 1962.
DOI : 10.1121/1.1909136

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

G. Gu, X. Gao, J. He, and M. Naraghi-pour, Parametric modeling of wideband and ultrawideband channels in frequency domain, IEEE Trans. Veh. Technol, vol.56, issue.4, pp.1600-1612, 2007.

S. Kay, Spectral estimation, Advanced Topics in Signal Processing, pp.58-122, 1988.

J. Barzilai and J. M. Borwein, Two-Point Step Size Gradient Methods, IMA Journal of Numerical Analysis, vol.8, issue.1, pp.141-148, 1988.
DOI : 10.1093/imanum/8.1.141

M. Vinyes, MTG MASS dataset, 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.
URL : https://hal.archives-ouvertes.fr/inria-00579398

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

S. Winter, W. Kellermann, H. Sawada, and S. Makino, MAP-Based Underdetermined Blind Source Separation of Convolutive Mixtures by Hierarchical Clustering and -Norm Minimization, EURASIP Journal on Advances in Signal Processing, vol.2007, issue.1, 2007.
DOI : 10.1109/TSP.2003.822284

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

R. Ratnam, D. L. Jones, B. C. Wheeler, W. D. O-'brien-jr, C. R. Lansing et al., Blind estimation of reverberation time, The Journal of the Acoustical Society of America, vol.114, issue.5, pp.2877-2892, 2003.
DOI : 10.1121/1.1616578