C. J. Burges, Dimension Reduction: A Guided Tour, Machine Learning, pp.275-365, 2009.
DOI : 10.1561/2200000002
URL : http://research.microsoft.com/en-us/um/people/cburges/papers/FnT_dimensionReduction.pdf

P. Comon, Independent component analysis, A new concept?, Signal Processing, vol.36, issue.3, pp.287-314, 1994.
DOI : 10.1016/0165-1684(94)90029-9
URL : https://hal.archives-ouvertes.fr/hal-00417283

B. A. Olshausen and D. J. Field, Emergence of simple-cell receptive field properties by learning a sparse code for natural images, Nature, vol.381, issue.6583, pp.607-609, 1996.
DOI : 10.1038/381607a0

M. Aharon, M. Elad, and A. Bruckstein, <tex>$rm K$</tex>-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation, IEEE Transactions on Signal Processing, vol.54, issue.11, pp.4311-4322, 2006.
DOI : 10.1109/TSP.2006.881199

P. Paatero and U. Tapper, Positive matrix factorization: A non-negative factor model with optimal utilization of error estimates of data values, Environmetrics, vol.18, issue.2, pp.111-126, 1994.
DOI : 10.1007/978-3-642-93295-3_112

D. D. Lee and H. S. Seung, Learning the parts of objects with nonnegative matrix factorization, Nature, vol.401, pp.788-791, 1999.

T. Hofmann, Probabilistic latent semantic indexing, Proc. 22nd International Conference on Research and Development in Information Retrieval (SIGIR), 1999.
DOI : 10.1145/312624.312649
URL : http://www-connex.lip6.fr/~amini/././RelatedWorks/Hof99.pdf

Y. Koren, R. Bell, and C. Volinsky, Matrix Factorization Techniques for Recommender Systems, Computer, vol.42, issue.8, pp.30-37, 2009.
DOI : 10.1109/MC.2009.263
URL : http://research.yahoo.com/files/ieeecomputer.pdf

N. Dobigeon, J. Tourneret, C. Richard, J. C. Bermudez, S. Mclaughlin et al., Nonlinear Unmixing of Hyperspectral Images: Models and Algorithms, IEEE Signal Processing Magazine, vol.31, issue.1, pp.89-94, 2014.
DOI : 10.1109/MSP.2013.2279274
URL : https://hal.archives-ouvertes.fr/hal-00915663

P. Smaragdis and J. C. 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), 2003.
DOI : 10.1109/ASPAA.2003.1285860
URL : http://www.merl.com/publications/docs/TR2003-139.pdf

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. Cichocki, H. Lee, Y. Kim, and S. Choi, Non-negative matrix factorization with ??-divergence, Pattern Recognition Letters, vol.29, issue.9, pp.1433-1440, 2008.
DOI : 10.1016/j.patrec.2008.02.016
URL : http://www.bsp.brain.riken.jp/publications/2008/Cich-Choi-alpha-Patt-recog-Letter.pdf

A. Cichocki, R. Zdunek, and S. Amari, Csisz??r???s Divergences for Non-negative Matrix Factorization: Family of New Algorithms, Proc. International Conference on Independent Component Analysis and Blind Signal Separation (ICA), pp.32-39, 2006.
DOI : 10.1007/11679363_5

R. Kompass, A Generalized Divergence Measure for Nonnegative Matrix Factorization, Neural Computation, vol.39, issue.3, pp.780-791, 2007.
DOI : 10.1162/089976602320264033

C. Févotte and J. Idier, Algorithms for Nonnegative Matrix Factorization with the ??-Divergence, Neural Computation, vol.11, issue.9, pp.2421-2456, 2011.
DOI : 10.1109/TASL.2009.2034186

I. S. Dhillon and S. Sra, Generalized nonnegative matrix approximations with Bregman divergences, Advances in Neural Information Processing Systems (NIPS), 2005.

A. Basu, I. R. Harris, N. L. Hjort, and M. C. Jones, Robust and efficient estimation by minimising a density power divergence, Biometrika, vol.85, issue.3, pp.549-559, 1998.
DOI : 10.1093/biomet/85.3.549

S. Eguchi and Y. Kano, Robustifying maximum likelihood estimation, Institute of Statistical Mathematics, Tech. Rep, vol.802, 2001.

D. Fitzgerald, M. Cranitch, and E. Coyle, On the use of the beta divergence for musical source separation, IET Irish Signals and Systems Conference (ISSC 2009), 2009.
DOI : 10.1049/cp.2009.1711

R. Hennequin, R. Badeau, and B. David, NMF with time-frequency activations to model non stationary audio events, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing, pp.445-448, 2010.
DOI : 10.1109/ICASSP.2010.5495733
URL : https://hal.archives-ouvertes.fr/hal-00945293

E. Vincent, N. Bertin, and R. Badeau, Adaptive Harmonic Spectral Decomposition for Multiple Pitch Estimation, IEEE Transactions on Audio, Speech, and Language Processing, vol.18, issue.3, pp.528-537, 2010.
DOI : 10.1109/TASL.2009.2034186
URL : https://hal.archives-ouvertes.fr/inria-00544094

V. Y. Tan and C. Févotte, Automatic Relevance Determination in Nonnegative Matrix Factorization with the /spl beta/-Divergence, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.35, issue.7, pp.1592-1605, 2013.
DOI : 10.1109/TPAMI.2012.240

C. Févotte and A. T. , Nonnegative matrix factorisations as probabilistic inference in composite models, Proc. 17th European Signal Processing Conference (EUSIPCO), pp.1913-1917, 2009.

J. F. Canny, GaP, Proceedings of the 27th annual international conference on Research and development in information retrieval , SIGIR '04, pp.122-129, 2004.
DOI : 10.1145/1008992.1009016

P. Smaragdis, B. Raj, and M. V. Shashanka, A probabilistic latent variable model for acoustic modeling, NIPS workshop on Advances in models for acoustic processing, 2006.

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
URL : http://www.cs.tut.fi/sgn/arg/music/tuomasv/virtanen_taslp2007.pdf

B. King, C. Févotte, and P. Smaragdis, Optimal cost function and magnitude power for NMF-based speech separation and music interpolation, 2012 IEEE International Workshop on Machine Learning for Signal Processing, 2012.
DOI : 10.1109/MLSP.2012.6349726
URL : http://www.unice.fr/cfevotte/publications/proceedings/mlsp12.pdf

D. R. Hunter and K. Lange, A Tutorial on MM Algorithms, The American Statistician, vol.58, issue.1, pp.30-37, 2004.
DOI : 10.1198/0003130042836

P. Smaragdis, C. Févotte, G. Mysore, N. Mohammadiha, and M. Hoffman, Static and Dynamic Source Separation Using Nonnegative Factorizations: A unified view, IEEE Signal Processing Magazine, vol.31, issue.3, pp.66-75, 2014.
DOI : 10.1109/MSP.2013.2297715

T. Virtanen, Sound source separation using sparse coding with temporal continuity objective, Proc. International Computer Music Conference, pp.231-234, 2003.

S. Vembu and S. Baumann, Separation of vocals from polyphonic audio recordings, Proc. International Conference on Music Information Retrieval (ISMIR), pp.337-344, 2005.

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

E. Vincent and X. Rodet, Underdetermined Source Separation with Structured Source Priors, Proc. International Conference on Independent Component Analysis and Blind Source Separation (ICA), pp.327-334, 2004.
DOI : 10.1007/978-3-540-30110-3_42
URL : https://hal.archives-ouvertes.fr/inria-00544694

G. J. Mysore and P. Smaragdis, A non-negative approach to semi-supervised separation of speech from noise with the use of temporal dynamics, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.17-20, 2011.
DOI : 10.1109/ICASSP.2011.5946317
URL : https://hal.archives-ouvertes.fr/hal-01084331

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
URL : https://www.merl.com/reports/docs/TR2007-002.pdf

P. Smaragdis, M. Shashanka, and B. Raj, A sparse non-parametric approach for single channel separation of known sounds, Proc. Neural Information Processing Systems (NIPS), pp.1705-1713, 2009.

J. F. Gemmeke, T. Virtanen, and A. Hurmalainen, Exemplar-Based Sparse Representations for Noise Robust Automatic Speech Recognition, IEEE Transactions on Audio, Speech, and Language Processing, vol.19, issue.7, pp.2067-2080, 2011.
DOI : 10.1109/TASL.2011.2112350

T. Virtanen, J. Gemmeke, and B. Raj, Active-Set Newton Algorithm for Overcomplete Non-Negative Representations of Audio, IEEE Transactions on Audio, Speech, and Language Processing, vol.21, issue.11, pp.2277-2289, 2013.
DOI : 10.1109/TASL.2013.2263144
URL : http://www.cs.tut.fi/sgn/arg/music/tuomasv/asna.pdf

P. D. Grady and B. A. Pearlmutter, Discovering speech phones using convolutive non-negative matrix factorisation with a sparseness constraint, Neurocomputing, vol.72, issue.1-3, pp.88-101, 2008.

W. Wang, A. Cichocki, and J. A. Chambers, A Multiplicative Algorithm for Convolutive Non-Negative Matrix Factorization Based on Squared Euclidean Distance, IEEE Transactions on Signal Processing, vol.57, issue.7, pp.2858-2864, 2009.
DOI : 10.1109/TSP.2009.2016881

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
URL : http://perso.telecom-paristech.fr/~grichard/Publications/TSALP_Durrieu10.pdf

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

D. Fitzgerald, M. Cranitch, and E. Coyle, Extended Nonnegative Tensor Factorisation Models for Musical Sound Source Separation, Computational Intelligence and Neuroscience, vol.2008, p.872425, 2008.
DOI : 10.1109/TSA.2005.858005

J. Eggert and E. Körner, Sparse coding and NMF, 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541), pp.2529-2533, 2004.
DOI : 10.1109/IJCNN.2004.1381036

J. , L. Roux, F. J. Weninger, and J. R. Hershey, Sparse NMF ? half-baked or well done, Mitsubishi Electric Research Laboratories (MERL), 2015.

C. Joder, F. Weninger, D. Virette, and B. Schuller, A comparative study on sparsity penalties for NMF-based speech separation: Beyond LP-norms, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing, pp.2013-858
DOI : 10.1109/ICASSP.2013.6637770
URL : http://www.mmk.ei.tum.de/publ//pdf/13/13jod3.pdf

Y. Mitsui, D. Kitamura, S. Takamichi, N. Ono, and H. Saruwatari, Blind source separation based on independent low-rank matrix analysis with sparse regularization for time-series activity, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017.
DOI : 10.1109/ICASSP.2017.7951790

A. Lefèvre, F. Bach, and C. Févotte, Itakura-Saito nonnegative matrix factorization with group sparsity, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.21-24, 2011.
DOI : 10.1109/ICASSP.2011.5946318

D. L. Sun and G. J. Mysore, Universal speech models for speaker independent single channel source separation, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing, pp.2013-141
DOI : 10.1109/ICASSP.2013.6637625
URL : https://ccrma.stanford.edu/%7Egautham/Site/Publications_files/sun-icassp2013.pdf

O. Dikmen and A. T. , Gamma Markov Random Fields for Audio Source Modeling, IEEE Transactions on Audio, Speech, and Language Processing, vol.18, issue.3, pp.589-601, 2010.
DOI : 10.1109/TASL.2009.2031778
URL : http://www.cmpe.boun.edu.tr/~cemgil/papers/dikmen-cemgil-tsalp2010.pdf

C. Févotte, J. L. Roux, and J. R. Hershey, Non-negative dynamical system with application to speech and audio, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing, pp.2013-3158
DOI : 10.1109/ICASSP.2013.6638240

G. Mysore and M. Sahani, Variational inference in non-negative factorial hidden Markov models for efficient audio source separation, Proc. International Conference on Machine Learning (ICML), pp.1887-1894, 2012.

A. Ozerov, C. Févotte, R. Blouet, and J. Durrieu, Multichannel nonnegative tensor factorization with structured constraints for user-guided audio source separation, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.257-260, 2011.
DOI : 10.1109/ICASSP.2011.5946389
URL : https://hal.archives-ouvertes.fr/inria-00564851

N. Q. Duong, A. Ozerov, L. Chevallier, and J. Sirot, An interactive audio source separation framework based on non-negative matrix factorization, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
DOI : 10.1109/ICASSP.2014.6853861
URL : https://hal.archives-ouvertes.fr/hal-00960717

J. Durrieu and J. Thiran, Musical Audio Source Separation Based on User-Selected F0 Track, Proc. International Conference on Latent Variable Analysis and Signal Separation, pp.2012-438
DOI : 10.1109/TSA.2005.860342

S. Ewert, B. Pardo, M. Müller, and M. D. Plumbley, Score-Informed Source Separation for Musical Audio Recordings: An overview, IEEE Signal Processing Magazine, vol.31, issue.3, pp.116-124, 2014.
DOI : 10.1109/MSP.2013.2296076
URL : http://www.eecs.qmul.ac.uk/%7Eewerts/publications/2014_EwertPardoMuellerPlumbley_ScoreInformedSourceSep_IEEE-SPM_postprint.pdf

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

L. , L. Magoarou, A. Ozerov, and N. Q. Duong, Text-informed audio source separation using nonnegative matrix partial co-factorization, Proc. IEEE International Workshop on Machine Learning for Signal Processing, pp.2013-2014
URL : https://hal.archives-ouvertes.fr/hal-01010602

N. Souvirà-a-labastie, A. Olivero, E. Vincent, and F. Bimbot, Multi-Channel Audio Source Separation Using Multiple Deformed References, IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol.23, issue.11, pp.1775-1787, 2015.
DOI : 10.1109/TASLP.2015.2450494

Y. K. Y?lmaz, A. T. Cemgil, and U. , Generalized coupled tensor factorization, Advances in Neural Information Processing Systems (NIPS), 2011.

N. Seichepine, S. Essid, C. Févotte, and O. Cappé, Soft Nonnegative Matrix Co-Factorization, IEEE Transactions on Signal Processing, vol.62, issue.22, pp.5940-5949, 2014.
DOI : 10.1109/TSP.2014.2360141
URL : https://hal.archives-ouvertes.fr/hal-01116863

E. Vincent, T. Virtanen, and S. Gannot, Audio Source Separation and Speech Enhancement, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01120685