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), pp.177-180, 2003.
DOI : 10.1109/ASPAA.2003.1285860

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

G. Golub and C. V. Loan, Matrix computations, 2012.

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

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

M. N. Schmidt, O. Winther, and L. K. Hansen, Bayesian non-negative matrix factorization, " in Independent Component Analysis and Signal Separation, pp.540-547, 2009.

M. E. Tipping and C. M. Bishop, Probabilistic Principal Component Analysis, Journal of the Royal Statistical Society: Series B (Statistical Methodology), vol.61, issue.3, pp.611-622, 1999.
DOI : 10.1111/1467-9868.00196

D. D. Lee and H. S. Seung, Algorithms for non-negative matrix factorization, Advances in Neural Information Processing Systems (NIPS), pp.556-562, 2001.

U. S. ¸-ims¸ekliims¸ekli, A. Cemgil, and Y. K. Yilmaz, Learning the beta-divergence in Tweedie compound Poisson matrix factorization models, Proceedings of the 30th International Conference on Machine Learning (ICML- 13), 2013, pp.1409-1417

P. J. Wolfe, S. J. Godsill, and W. Ng, Bayesian variable selection and regularization for time-frequency surface estimation, Journal of the Royal Statistical Society: Series B (Statistical Methodology), vol.45, issue.3, pp.575-589, 2004.
DOI : 10.1162/15324430152748236

C. Fevotte and S. J. , A Bayesian Approach for Blind Separation of Sparse Sources, IEEE Transactions on Audio, Speech and Language Processing, vol.14, issue.6, pp.2174-2188, 2006.
DOI : 10.1109/TSA.2005.858523

J. P. Nolan, Modeling financial data with stable distributions Handbook of Heavy Tailed Distributions in Finance, Handbooks in Finance: Book, pp.105-130, 2003.

C. Menn and S. T. Rachev, A GARCH option pricing model with ??-stable innovations, European Journal of Operational Research, vol.163, issue.1, pp.201-209, 2005.
DOI : 10.1016/j.ejor.2004.01.009

S. Godsill and E. Kuruoglu, Bayesian inference for time series with heavy-tailed symmetric ?-stable noise processes, Heavy Tails 99, Applications of Heavy Tailed Distributions in Economics, Engineering and Statistics, pp.3-5, 1999.

E. E. Kuruoglu, Signal processing in ?-stable noise environments: a least lp-norm approach, 1999.

M. J. Lombardi and S. J. , On-line Bayesian estimation of signals in symmetric /spl alpha/-stable noise, IEEE Transactions on Signal Processing, vol.54, issue.2, pp.775-779, 2006.
DOI : 10.1109/TSP.2005.861886

N. Bassiou, C. Kotropoulos, and E. Koliopoulou, Symmetric α-stable sparse linear regression for musical audio denoising, 2013 8th International Symposium on Image and Signal Processing and Analysis (ISPA)
DOI : 10.1109/ISPA.2013.6703771

G. Samoradnitsky and M. Taqqu, Stable non-Gaussian random processes: stochastic models with infinite variance, 1994.

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

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

J. S. Liu, Monte Carlo Strategies in Scientific Computing, 2008.
DOI : 10.1007/978-0-387-76371-2

C. Févotte, O. Cappe, and A. Cemgil, Efficient Markov chain Monte Carlo inference in composite models with space alternating data augmentation, 2011 IEEE Statistical Signal Processing Workshop (SSP), pp.221-224, 2011.
DOI : 10.1109/SSP.2011.5967665

H. Bergström, On some expansions of stable distribution functions Alpha-stable matrix factorization supplementary material, Arkiv för Matematik, pp.375-378, 1952.

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

Y. Hu and P. C. Loizou, Subjective comparison and evaluation of speech enhancement algorithms, Speech Communication, vol.49, issue.7-8, pp.588-601, 2007.
DOI : 10.1016/j.specom.2006.12.006

E. Vincent, H. Sawada, P. Bofill, S. Makino, and J. P. Rosca, First stereo audio source separation evaluation campaign: data, algorithms and results, " in Independent Component Analysis and Signal Separation, pp.552-559, 2007.

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

U. S. ¸-ims¸ekliims¸ekli, J. L. Roux, and J. Hershey, Non-negative source-filter dynamical system for speech enhancement, IEEE International Conference on Acoustics, Speech and Signal Processing, pp.2014-6206