A. Liutkus, J. Pinel, R. Badeau, L. Girin, and G. Richard, Informed source separation through spectrogram coding and data embedding, Signal Processing, vol.92, issue.8, pp.1937-1949, 2012.
DOI : 10.1016/j.sigpro.2011.09.016

URL : https://hal.archives-ouvertes.fr/hal-00643957

A. Ozerov, A. Liutkus, R. Badeau, and G. Richard, Coding-Based Informed Source Separation: Nonnegative Tensor Factorization Approach, IEEE Transactions on Audio, Speech, and Language Processing, vol.21, issue.8, pp.1699-1712, 2013.
DOI : 10.1109/TASL.2013.2260153

URL : https://hal.archives-ouvertes.fr/hal-00734022

R. M. Gray-]-d, J. Zhao, M. Samuelsson, and . Nilsson, Source coding theory On entropy-constrained vector quantization using Gaussian mixture models, IEEE Transactions on Communications, vol.56, issue.6 12, pp.2094-2104, 1990.

S. Van-de-par, A. Kohlrausch, R. Heusdens, J. Jensen, and S. H. Jensen, A Perceptual Model for Sinusoidal Audio Coding Based on Spectral Integration, EURASIP Journal on Advances in Signal Processing, vol.2005, issue.9, pp.1292-1304, 2005.
DOI : 10.1155/ASP.2005.1292

A. Liutkus, R. Badeau, and G. Richard, Low bitrate informed source separation of realistic mixtures, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing, pp.26-31, 2013.
DOI : 10.1109/ICASSP.2013.6637610

URL : https://hal.archives-ouvertes.fr/hal-00945299

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

J. Nikunen, T. Virtanen, and M. Vilermo, Multichannel audio upmixing based on non-negative tensor factorization representation, 2011 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), 2011.
DOI : 10.1109/ASPAA.2011.6082296

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. Ozerov and W. B. Kleijn, Flexible Quantization of Audio and Speech based on the Autoregressive Model, 2007 Conference Record of the Forty-First Asilomar Conference on Signals, Systems and Computers, 2007.
DOI : 10.1109/ACSSC.2007.4487270

P. Petkov, The sensitivity matrix for a spectral auditory model, M.S. thesis, KTH (Royal Institute of Technology ), 2005.

I. Recommendation and B. , 1387, Method for Objective Measurements of Perceived Audio Quality, 1998.

S. K?rb?z and B. Günsel, Perceptually enhanced blind single-channel music source separation by Non-negative Matrix Factorization, Digital Signal Processing, vol.23, issue.2, pp.646-658, 2013.
DOI : 10.1016/j.dsp.2012.10.001

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

R. Huber and B. Kollmeier, PEMO-Q—A New Method for Objective Audio Quality Assessment Using a Model of Auditory Perception, IEEE Transactions on Audio, Speech and Language Processing, vol.14, issue.6, pp.1902-1911, 2006.
DOI : 10.1109/TASL.2006.883259