P. Comon and C. Jutten, Handbook of Blind Source Separation: Independent component analysis and applications , Academic press, 2010.

O. Yilmaz and S. 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

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

S. Araki, S. Makino, A. Blin, R. Mukai, and H. Sawada, Underdetermined blind separation for speech in real environments with sparseness and ICA, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing, p.881, 2004.
DOI : 10.1109/ICASSP.2004.1326686

P. Smaragdis, C. Judith, and . Brown, Non-negative matrix factorization for polyphonic music transcription, 2003 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (IEEE Cat. No.03TH8684), pp.177-180, 2003.
DOI : 10.1109/ASPAA.2003.1285860

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

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

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

D. Daniel, S. Lee, and . Seung, Algorithms for nonnegative matrix factorization, Advances in neural information processing systems, pp.556-562, 2001.

C. Févotte, Itakura-Saito Nonnegative Factorizations of the Power Spectrogram for Music Signal Decomposition, Machine Audition: Principles, Algorithms and Systems, 2010.
DOI : 10.4018/978-1-61520-919-4.ch011

A. Michael, A. Casey, and . Westner, Separation of mixed audio sources by independent subspace analysis, Proceedings of the International Computer Music Conference, pp.154-161, 2000.

S. Dubnov, Extracting sound objects by independent subspace analysis, Audio Engineering Society Conference: 22nd International Conference: Virtual, Synthetic, and Entertainment Audio, 2002.

S. Vembu and S. Baumann, Separation of vocals from polyphonic audio recordings, ISMIR 2005, 6th International Conference on Music Information Retrieval, pp.11-15, 2005.

M. Helen and T. Virtanen, Separation of drums from polyphonic music using non-negative matrix factorization and support vector machine, Signal Processing Conference (EUSIPCO), 2005 13th European, pp.1-4, 2005.

H. Sawada, H. Kameoka, S. Araki, and N. Ueda, Multichannel Extensions of Non-Negative Matrix Factorization With Complex-Valued Data, Audio, Speech, and Language Processing, pp.971-982, 2013.
DOI : 10.1109/TASL.2013.2239990

S. Arberet, A. Ozerov, Q. Ngoc, E. Duong, R. Vincent 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

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

Q. Ngoc, E. Duong, R. Vincent, and . Gribonval, Under-determined reverberant audio source separation using a full-rank spatial covariance model, Audio, Speech, and Language Processing, pp.1830-1840, 2010.

F. Feng and M. Kowalski, An unified approach for blind source separation using sparsity and decorrelation, 2015 23rd European Signal Processing Conference (EUSIPCO), pp.1736-1740, 2015.
DOI : 10.1109/EUSIPCO.2015.7362681

URL : https://hal.archives-ouvertes.fr/hal-01199620

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-00305435

Y. Andrew, . Ng, I. Michael, Y. Jordan, and . Weiss, On spectral clustering: Analysis and an algorithm Advances in neural information processing systems, pp.849-856, 2002.

A. Eric, . Lehmann, M. Anders, and . Johansson, Prediction of energy decay in room impulse responses simulated with an image-source model, The Journal of the Acoustical Society of America, vol.124, issue.1, pp.269-277, 2008.

M. Vinyes, MTG MASS database, 2008.

S. Araki, F. Nesta, E. Vincent, Z. Koldovsk-`-koldovsk-`-y, G. Nolte et al., The 2011 Signal Separation Evaluation Campaign (SiSEC2011): - Audio Source Separation -, Latent Variable Analysis and Signal Separation, pp.414-422, 2012.
DOI : 10.1016/j.sigpro.2011.09.032

URL : https://hal.archives-ouvertes.fr/hal-00655394

L. Peter, B. Sondergaard, P. Torresani, and . Balazs, The linear time frequency analysis toolbox, International Journal of Wavelets, Multiresolution and Information Processing, vol.10, issue.04, 2012.

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

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

J. Becker, M. Menzel, and C. Rohlfing, Complex SVD initialization for NMF source separation on audio spectrograms, 2015.

C. Févotte, Majorization-minimization algorithm for smooth Itakura-Saito nonnegative matrix factorization, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.1980-1983, 2011.
DOI : 10.1109/ICASSP.2011.5946898