S. Amari and J. Cardoso, Blind source separation-semiparametric statistical approach, IEEE Transactions on Signal Processing, vol.45, issue.11, pp.2692-2700, 1997.
DOI : 10.1109/78.650095

A. J. Bell and T. J. Sejnowski, An Information-Maximization Approach to Blind Separation and Blind Deconvolution, Neural Computation, vol.20, issue.1, pp.1129-1159, 1995.
DOI : 10.1109/78.301850

E. Benaroya, Séparation de plusieurs sources sonores avec un seul microphone, Thèse de Doctorat, 2003.

L. Benaroya, R. Gribonval, and F. Bimbot, Non negative sparse representation for Wiener based source separation with a single sensor, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)., pp.613-616, 2003.
DOI : 10.1109/ICASSP.2003.1201756

URL : https://hal.archives-ouvertes.fr/inria-00574784

O. Bermond and J. Cardoso, Approximate likelihood for noisy mixtures, Proc. ICA'99, pp.325-330, 1999.

A. Bijaoui, Wavelets, Gaussian mixtures and Wiener filtering, Signal Processing, vol.82, issue.4, pp.709-712, 2002.
DOI : 10.1016/S0165-1684(02)00137-8

J. F. Cardoso, Blind signal separation: statistical principles, Proc. IEEE, pp.2009-2025, 1998.
DOI : 10.1109/5.720250

D. L. Donoho, De-noising by soft-thresholding, IEEE Transactions on Information Theory, vol.41, issue.3, pp.613-627, 1995.
DOI : 10.1109/18.382009

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.161.9704

Y. Ephraim and N. Merhav, Hidden Markov processes, IEEE Transactions on Information Theory, vol.48, issue.6, pp.1518-1569, 2002.
DOI : 10.1109/TIT.2002.1003838

R. Gribonval, L. Benaroya, E. Vincent, and C. Févotte, Proposals for performance measurement in source separation, Proc. ICA, pp.715-720, 2003.
URL : https://hal.archives-ouvertes.fr/inria-00570123

A. Hyvärinen and E. Oja, Independent component analysis: algorithms and applications, Neural Networks, vol.13, issue.4-5, pp.411-430, 2000.
DOI : 10.1016/S0893-6080(00)00026-5

D. D. Lee and H. S. Seung, Algorithms for nonnegative matrix factorization, Proc. NIPS, pp.556-562, 2000.

T. Lee, M. Lewicki, M. Girolami, and T. Sejnowski, Blind source separation of more sources than mixtures using overcomplete representations, IEEE Signal Processing Lett, vol.6, issue.4, pp.87-90, 1999.

J. Portilla, V. Strela, M. J. Wainwright, and E. Simoncelli, Adaptive Wiener denoising using a Gaussian scale mixture model in the wavelet domain, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205), 2001.
DOI : 10.1109/ICIP.2001.958418

S. T. Roweis, One microphone source separation, Proc. NIPS, pp.793-799, 2000.

M. Tipping and C. 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

A. P. Varga and R. K. Moore, Hidden Markov model decomposition of speech and noise, International Conference on Acoustics, Speech, and Signal Processing, pp.845-848, 1990.
DOI : 10.1109/ICASSP.1990.115970

S. V. Vaseghi and B. P. Milner, Noise compensation methods for hidden Markov model speech recognition in adverse environments, IEEE Transactions on Speech and Audio Processing, vol.5, issue.1, pp.11-21, 1997.
DOI : 10.1109/89.554264