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, 2006.
DOI : 10.1109/TSA.2005.854110
URL : https://hal.archives-ouvertes.fr/inria-00544949

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

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, 2010.
DOI : 10.1109/TASL.2009.2031510

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

U. S. ¸-ims¸ekliims¸ekli, A. Liutkus, and A. T. , Alpha-stable matrix factorization, IEEE Signal Processing Letters, vol.22, issue.12, pp.2289-2293, 2015.

A. Cichocki, R. Zdunek, A. H. Phan, and S. Amari, Nonnegative Matrix and Tensor Factorizations: Applications to Exploratory Multi-way Data Analysis and Blind Source Separation, 2009.
DOI : 10.1002/9780470747278

P. Smaragdis, C. Févotte, G. Mysore, N. Mohammadiha, and M. D. 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

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

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

K. Yoshii, R. Tomioka, D. Mochihashi, and M. Goto, Infinite positive semidefinite tensor factorization for source separation of mixture signals, International Conference on Machine Learning (ICML). International Machine Learning Society (IMLS), pp.576-584, 2013.

R. Badeau, Gaussian modeling of mixtures of nonstationary signals in the time-frequency domain (HR- NMF), IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), 2011.
URL : https://hal.archives-ouvertes.fr/hal-00945270

C. Févotte and M. Kowalski, Low-rank time-frequency synthesis, Neural Information Processing Systems (NIPS), pp.3563-3571, 2014.

H. Kameoka, Multi-resolution signal decomposition with time-domain spectrogram factorization, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.86-90, 2015.
DOI : 10.1109/ICASSP.2015.7177937

N. Halko, P. Martinsson, and J. Tropp, Finding Structure with Randomness: Probabilistic Algorithms for Constructing Approximate Matrix Decompositions, SIAM Review, vol.53, issue.2, pp.217-288, 2011.
DOI : 10.1137/090771806
URL : http://arxiv.org/abs/0909.4061

M. Woodbury, Inverting modified matrices, p.106, 1950.

A. Liutkus, F. Stöter, Z. Rafii, D. Kitamura, B. Rivet et al., The 2016 Signal Separation Evaluation Campaign, International Conference on Latent Variable Analysis and Signal Separation, pp.323-332
DOI : 10.1109/EUSIPCO.2016.7760551
URL : https://hal.archives-ouvertes.fr/hal-01472932

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