Convolutive blind separation of non-stationary sources, IEEE Transactions on Speech and Audio Processing, vol.8, issue.3, pp.320-327, 2000. ,
DOI : 10.1109/89.841214
Probabilistic Modeling Paradigms for Audio Source Separation, Machine Audition: Principles, Algorithms and Systems, pp.162-185, 2010. ,
DOI : 10.4018/978-1-61520-919-4.ch007
URL : https://hal.archives-ouvertes.fr/inria-00544016
Maximum likelihood approach for blind audio source separation using time-frequency Gaussian source models, IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2005., pp.78-81, 2005. ,
DOI : 10.1109/ASPAA.2005.1540173
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
Multichannel nonnegative tensor factorization with structured constraints for userguided audio source separation, Proc. of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp.257-260, 2011. ,
DOI : 10.1109/icassp.2011.5946389
URL : https://hal.archives-ouvertes.fr/inria-00564851
Under-Determined Reverberant Audio Source Separation Using a Full-Rank Spatial Covariance Model, IEEE Transactions on Audio, Speech, and Language Processing, vol.18, issue.7, pp.1830-1840, 2010. ,
DOI : 10.1109/TASL.2010.2050716
URL : https://hal.archives-ouvertes.fr/inria-00435807
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
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
Bayesian extensions to nonnegative matrix factorisation for audio signal modelling, Proc. of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.1825-1828, 2008. ,
DOI : 10.1109/icassp.2008.4517987
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.401.4325
Cauchy nonnegative matrix factorization, 2015 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), 2015. ,
DOI : 10.1109/WASPAA.2015.7336900
URL : https://hal.archives-ouvertes.fr/hal-01170924
Alpha-stable matrix factorization, IEEE Signal Processing Letters, vol.22, issue.12, pp.2289-2293, 2015. ,
Multichannel Audio Source Separation With Deep Neural Networks, IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol.24, issue.9, 2016. ,
DOI : 10.1109/TASLP.2016.2580946
URL : https://hal.archives-ouvertes.fr/hal-01163369
Student's t nonnegative matrix factorization and positive semidefinite tensor factorization for singlechannel audio source separation, Proc. of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.51-55, 2016. ,
DOI : 10.1109/icassp.2016.7471635
Lévy NMF for robust nonnegative source separation, 2016. ,
PROJET ??? Spatial audio separation using projections, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.36-40, 2016. ,
DOI : 10.1109/ICASSP.2016.7471632
URL : https://hal.archives-ouvertes.fr/hal-01248014
Projection-Based Demixing of Spatial Audio, IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol.24, issue.9, pp.1560-1572, 2016. ,
DOI : 10.1109/TASLP.2016.2570945
URL : https://hal.archives-ouvertes.fr/hal-01260588
Student's t multichannel nonnegative matrix factorization for blind source separation, 2016 IEEE International Workshop on Acoustic Signal Enhancement (IWAENC), pp.1-5, 2016. ,
DOI : 10.1109/IWAENC.2016.7602889
Spatial codingbased informed source separation, Proc. of European Signal Processing Conference (EUSIPCO), pp.2407-2411, 2012. ,
URL : https://hal.archives-ouvertes.fr/hal-00869618
Stable non-Gaussian random processes: stochastic models with infinite variance, 1994. ,
Multivariate elliptically contoured stable distributions: theory and estimation, Computational Statistics, vol.55, issue.2, pp.2067-2089, 2013. ,
DOI : 10.1007/s00180-013-0396-7
URL : http://academic2.american.edu/%7Ejpnolan/stable/EllipticalStable.pdf
A Monte Carlo Implementation of the EM Algorithm and the Poor Man's Data Augmentation Algorithms, Journal of the American Statistical Association, vol.51, issue.411, pp.699-704, 1990. ,
DOI : 10.1214/aos/1176346060
Maximum likelihood from incomplete data via the EM algorithm, Journal of the royal statistical society. Series B (Methodological), pp.1-38, 1977. ,
Roomsimove, 2008. ,
The signal separation evaluation campaign Achievements and remaining challenges, Signal Processing, vol.92, issue.8, 1928. ,
DOI : 10.1016/j.sigpro.2011.10.007
URL : https://hal.archives-ouvertes.fr/inria-00579398
BSS Eval Toolbox Version 3.0 for Matlab, 2007. ,
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
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
Locally Weighted Regression: An Approach to Regression Analysis by Local Fitting, Journal of the American Statistical Association, vol.41, issue.810345, pp.596-610, 1988. ,
DOI : 10.1080/01621459.1988.10478639