M. Neuendorf, P. Gournay, M. Multrus, J. Lecomte, B. Bessette et al., Unified speech and audio coding scheme for high quality at low bitrates, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing, pp.1-4, 2009.
DOI : 10.1109/ICASSP.2009.4959505

P. Comon and C. Jutten, Handbook of blind source separation: independent component analysis and applications, 2010.
URL : https://hal.archives-ouvertes.fr/hal-00460653

E. Vincent, M. Jafari, S. A. Abdallah, M. D. Plumbley, and M. E. Davies, Probabilistic Modeling Paradigms for Audio Source Separation, Machine Audition: Principles, Algorithms and Systems. IGI Global, pp.162-185, 2010.
DOI : 10.4018/978-1-61520-919-4.ch007

URL : https://hal.archives-ouvertes.fr/inria-00544016

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

E. Vincent, S. Araki, F. J. Theis, G. Nolte, P. Bofill et al., The signal separation evaluation campaign Achievements and remaining challenges, Signal Processing, vol.92, issue.8, 1928.
URL : https://hal.archives-ouvertes.fr/inria-00579398

J. Durrieu, B. David, and G. Richard, A Musically Motivated Mid-Level Representation for Pitch Estimation and Musical Audio Source Separation, IEEE Journal of Selected Topics in Signal Processing, vol.5, issue.6, pp.1180-1191, 2011.
DOI : 10.1109/JSTSP.2011.2158801

P. Smaragdis and G. 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

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

R. Hennequin, B. David, and R. Badeau, Score informed audio source separation using a parametric model of non-negative spectrogram, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2011.
DOI : 10.1109/ICASSP.2011.5946324

URL : https://hal.archives-ouvertes.fr/hal-00945294

M. Parvaix, L. Girin, and J. Brossier, A Watermarking-Based Method for Informed Source Separation of Audio Signals With a Single Sensor, IEEE Transactions on Audio, Speech, and Language Processing, vol.18, issue.6, pp.1464-1475, 2010.
DOI : 10.1109/TASL.2009.2035216

URL : https://hal.archives-ouvertes.fr/hal-00486809

M. Parvaix and L. Girin, Informed Source Separation of Linear Instantaneous Under-Determined Audio Mixtures by Source Index Embedding, IEEE Transactions on Audio, Speech, and Language Processing, vol.19, issue.6, pp.1721-1733, 2011.
DOI : 10.1109/TASL.2010.2097250

URL : https://hal.archives-ouvertes.fr/hal-00695763

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

M. Parvaix, L. Girin, L. Daudet, J. Pinel, and C. Baras, Hybrid coding/indexing strategy for informed source separation of linear instantaneous under-determined audio mixtures, 20th International Congress on Acoustics, 2010.
URL : https://hal.archives-ouvertes.fr/hal-00535684

E. Vincent, R. Gribonval, and M. Pumbley, Oracle estimators for the benchmarking of source separation algorithms, Signal Processing, vol.87, issue.8, pp.1933-1950, 2007.
DOI : 10.1016/j.sigpro.2007.01.016

URL : https://hal.archives-ouvertes.fr/inria-00545156

J. Herre and S. Disch, New Concepts in Parametric Coding of Spatial Audio: From SAC to SAOC, Multimedia and Expo, 2007 IEEE International Conference on, pp.1894-1897, 2007.
DOI : 10.1109/ICME.2007.4285045

J. Engdegård, B. Resch, C. Falch, O. Hellmuth, J. Hilpert et al., Spatial audio object coding (SAOC) -The upcoming MPEG standard on parametric object based audio coding, 124th Audio Engineering Society Convention, 2008.

C. Falch, L. Terentiev, and J. Herre, Spatial audio object coding with enhanced audio object separation, 13th International Conference on Digital Audio Effects (DAFx-10), 2010.

O. Hellmuth, H. Purnhagen, J. Koppens, J. Herre, J. Engdegård et al., MPEG spatial audio object coding -The ISO/MPEG standard for efficient coding of interactive audio scenes, 129th Audio Engineering Society Convention, 2010.

D. Yang, H. Ai, C. Kyriakakis, and C. J. Kuo, High-fidelity multichannel audio coding with karhunen-loeve transform, IEEE Transactions on Speech and Audio Processing, vol.11, issue.4, pp.365-380, 2003.
DOI : 10.1109/TSA.2003.814375

C. Faller, Parametric multichannel audio coding: synthesis of coherence cues, IEEE Transactions on Audio, Speech and Language Processing, vol.14, issue.1, pp.299-310, 2006.
DOI : 10.1109/TSA.2005.854105

B. Cheng, C. Ritz, and I. Burnett, Encoding Independent Sources in Spatially Squeezed Surround Audio Coding, 8th Pacific Rim Conference on Multimedia (PCM'07), pp.804-813, 2007.
DOI : 10.1007/978-3-540-77255-2_96

C. Tzagkarakis, A. Mouchtaris, and P. Tsakalides, A Multichannel Sinusoidal Model Applied to Spot Microphone Signals for Immersive Audio, IEEE Transactions on Audio, Speech, and Language Processing, vol.17, issue.8, pp.1483-1497, 2009.
DOI : 10.1109/TASL.2009.2021716

A. Ozerov, A. Liutkus, R. Badeau, and G. Richard, Informed source separation: Source coding meets source separation, 2011 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), pp.257-260, 2011.
DOI : 10.1109/ASPAA.2011.6082285

URL : https://hal.archives-ouvertes.fr/inria-00610526

A. Liutkus, A. Ozerov, R. Badeau, and G. Richard, Spatial codingbased informed source separation, EUSIPCO, 20th European Signal Processing Conference, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00869618

J. Nikunen and T. Virtanen, Object-based audio coding using nonnegative matrix factorization for the spectrogram representation, 128th Audio Engineering Society Convention, 2010.

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), pp.33-36, 2011.
DOI : 10.1109/ASPAA.2011.6082296

W. B. Kleijn and A. Ozerov, Rate Distribution Between Model and Signal, 2007 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, pp.243-246, 2007.
DOI : 10.1109/ASPAA.2007.4393033

D. Y. Zhao, J. Samuelsson, and M. Nilsson, On entropy-constrained vector quantization using gaussian mixture models, IEEE Transactions on Communications, vol.56, issue.12, pp.2094-2104, 2008.
DOI : 10.1109/TCOMM.2008.070357

T. Dau, D. Pu¨schelpu¨schel, and A. Kohlrausch, A quantitative model of the ??????effective?????? signal processing in the auditory system. I. Model structure, The Journal of the Acoustical Society of America, vol.99, issue.6, pp.3615-3622, 1996.
DOI : 10.1121/1.414959

S. Van-de-par, A. Kohlrausch, R. Heusdens, J. Jensen, and S. 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

J. H. Plasberg and W. B. Kleijn, The Sensitivity Matrix: Using Advanced Auditory Models in Speech and Audio Processing, IEEE Transactions on Audio, Speech and Language Processing, vol.15, issue.1, pp.310-319, 2007.
DOI : 10.1109/TASL.2006.876722

R. M. Gray, Source coding theory, 1990.
DOI : 10.1007/978-1-4613-1643-5

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 A. Ozerov, Notes on Nonnegative Tensor Factorization of the Spectrogram for Audio Source Separation: Statistical Insights and Towards Self-Clustering of the Spatial Cues, 7th International Symposium on Computer Music Modeling and Retrieval, 2010.
DOI : 10.1007/978-3-642-23126-1_8

A. Buzo, A. Gray, R. Gray, and J. Markel, Speech coding based upon vector quantization, IEEE Transactions on Acoustics, Speech, and Signal Processing, vol.28, issue.5, pp.562-574, 1980.
DOI : 10.1109/TASSP.1980.1163445

A. Ozerov and W. B. Kleijn, Asymptotically Optimal Model Estimation for Quantization, IEEE Transactions on Communications, vol.59, issue.4, pp.1031-1042, 2011.
DOI : 10.1109/TCOMM.2011.012711.100405

URL : https://hal.archives-ouvertes.fr/inria-00553532

A. Liutkus, R. Badeau, and G. Richard, Informed Source Separation Using Latent Components, 9th International Conference on Latent Variable Analysis and Signal Separation (LVA/ICA'10), 2010.
DOI : 10.1007/978-3-642-15995-4_62

URL : https://hal.archives-ouvertes.fr/hal-00945298

N. Sturmel and L. Daudet, Informed Source Separation Using Iterative Reconstruction, IEEE Transactions on Audio, Speech, and Language Processing, vol.21, issue.1, pp.178-185, 2013.
DOI : 10.1109/TASL.2012.2215597

A. Liutkus, S. Gorlow, N. Sturmel, S. Zhang, L. Girin et al., Informed source separation: a comparative study, Proceedings European Signal Processing Conference, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00809525

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

V. Emiya, E. Vincent, N. Harlander, and V. Hohmann, Subjective and Objective Quality Assessment of Audio Source Separation, IEEE Transactions on Audio, Speech, and Language Processing, vol.19, issue.7, pp.2046-2057, 2011.
DOI : 10.1109/TASL.2011.2109381

URL : https://hal.archives-ouvertes.fr/inria-00567152

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, pp.550-563, 2010.
DOI : 10.1109/TASL.2009.2031510

M. Li, J. Klejsa, and W. B. Kleijn, Distribution Preserving Quantization With Dithering and Transformation, IEEE Signal Processing Letters, vol.17, issue.12, pp.1014-1017, 2010.
DOI : 10.1109/LSP.2010.2087749

N. Sturmel, A. Liutkus, J. Pinel, L. Girin, S. Marchand et al., Linear mixing models for active listening of music productions in realistic studio condition, Proc. of the 132th Audio Engineering Society Conv, 2012.

S. Bucak and B. Gunsel, Incremental subspace learning via non-negative matrix factorization, Pattern Recognition, vol.42, issue.5, pp.788-797, 2009.
DOI : 10.1016/j.patcog.2008.09.002

L. S. Simon and E. Vincent, A General Framework for Online Audio Source Separation, International conference on Latent Variable Analysis and Signal Separation, 2012.
DOI : 10.1007/978-3-662-04619-7

URL : https://hal.archives-ouvertes.fr/hal-00655398

K. Lakhdhar and R. Lefebvre, Context-Based Adaptive Arithmetic Encoding of EAVQ Indices, IEEE Transactions on Audio, Speech, and Language Processing, vol.20, issue.5, pp.1473-1481, 2012.
DOI : 10.1109/TASL.2011.2181834

D. Marpe, H. Schwarz, and T. Wiegand, Context-based adaptive binary arithmetic coding in the H.264/AVC video compression standard, IEEE Transactions on Circuits and Systems for Video Technology, vol.13, issue.7, pp.620-644, 2003.
DOI : 10.1109/TCSVT.2003.815173