N. Q. Duong, E. Vincent, and R. Gribonval, Under-Determined Reverberant Audio Source Separation Using Local Observed Covariance and Auditory-Motivated Time-Frequency Representation, Proceedings of International Conference on Latent Variable Analysis and Signal Separation, pp.73-80, 2010.
DOI : 10.1007/978-3-642-15995-4_10

URL : https://hal.archives-ouvertes.fr/inria-00541868

N. Q. Duong, E. Vincent, and R. Gribonval, Spatial location priors for Gaussian model based reverberant audio source separation, EURASIP Journal on Advances in Signal Processing, vol.92, issue.4, p.149, 2013.
DOI : 10.1007/978-3-642-15995-4_8

URL : https://hal.archives-ouvertes.fr/hal-00727781

C. Févotte, N. Bertin, and J. L. 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 J. F. Cardoso, 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

C. Févotte and J. Idier, Algorithms for Nonnegative Matrix Factorization with the ??-Divergence, Neural Computation, vol.11, issue.9, pp.2421-2456, 2011.
DOI : 10.1109/TASL.2009.2034186

T. Higuchi and H. Kameoka, Unified approach for audio source separation with multichannel factorial HMM and DOA mixture model, 2015 23rd European Signal Processing Conference (EUSIPCO), pp.2043-2047, 2015.
DOI : 10.1109/EUSIPCO.2015.7362743

D. R. Hunter and K. Lange, A tutorial on MM algorithms. The American Statistician, pp.30-37, 2004.
DOI : 10.1198/0003130042836

Y. Izumi, N. Ono, and S. Sagayama, Sparseness-Based 2CH BSS using the EM Algorithm in Reverberant Environment, 2007 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, pp.147-150, 2007.
DOI : 10.1109/ASPAA.2007.4393015

H. Kameoka, M. Goto, and S. Sagayama, Selective amplifier of periodic and non-periodic components in concurrent audio signals with spectral control envelopes, IPSJ SIG Technical ReportsMUS-66-13, pp.2006-66, 2006.

H. Kameoka and K. Kashino, Composite autoregressive system for sparse source-filter representation of speech, 2009 IEEE International Symposium on Circuits and Systems, pp.2477-2480, 2009.
DOI : 10.1109/ISCAS.2009.5118303

H. Kameoka, M. Sato, T. Ono, N. Ono, and S. Sagayama, Blind separation of infinitely many sparse sources, Proceedings of International Workshop on Acoustic Echo and Noise Control, 2012.

H. Kameoka, T. Yoshioka, M. Hamamura, J. Le-roux, and K. Kashino, Statistical Model of Speech Signals Based on Composite Autoregressive System with Application to Blind Source Separation, Proceedings of International Conference on Latent Variable Analysis and Signal Separation, pp.245-253, 2010.
DOI : 10.1007/978-3-642-15995-4_31

URL : http://www.brl.ntt.co.jp/people/leroux/pdf/Kameoka2010LVA09.pdf

D. Kitamura, N. Ono, H. Sawada, H. Kameoka, and H. Saruwatari, Efficient multichannel nonnegative matrix factorization exploiting rank-1 spatial model, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.276-280, 2015.
DOI : 10.1109/ICASSP.2015.7177975

D. Kounades-bastian, L. Girin, X. Alameda-pineda, S. Gannot, and R. Horaud, A Variational EM Algorithm for the Separation of Time-Varying Convolutive Audio Mixtures, IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol.24, issue.8, pp.24-1408, 2016.
DOI : 10.1109/TASLP.2016.2554286

URL : https://hal.archives-ouvertes.fr/hal-01301762

D. D. Lee and H. S. Seung, Algorithms for non-negative matrix factorization, Proceedings of Neural Information Processing Systems, pp.556-562, 2000.

J. D. Leeuw and W. J. Heiser, Convergence of correction matrix algorithms for multidimensional scaling, Geometric Representations of Relational Data, 1977.

M. Nakano, H. Kameoka, J. Le-roux, Y. Kitano, N. Ono et al., Convergence-guaranteed multiplicative algorithms for non-negative matrix factorization with beta-divergence, Proceedings of IEEE International Workshop on Machine Learning for Signal Processing, pp.283-288, 2010.

J. Nikunen and T. Virtanen, Direction of Arrival Based Spatial Covariance Model for Blind Sound Source Separation, IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol.22, issue.3, 2014.
DOI : 10.1109/TASLP.2014.2303576