E. A. Habets, S. Gannot, and I. Cohen, Late Reverberant Spectral Variance Estimation Based on a Statistical Model, IEEE Signal Processing Letters, vol.16, issue.9, pp.770-773, 2009.
DOI : 10.1109/LSP.2009.2024791

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.2013, issue.1, p.149, 2013.
DOI : 10.1016/j.sigpro.2011.10.007
URL : https://hal.archives-ouvertes.fr/hal-00727781

T. Yoshioka, A. Sehr, M. Delcroix, K. Kinoshita, R. Maas et al., Making Machines Understand Us in Reverberant Rooms: Robustness Against Reverberation for Automatic Speech Recognition, IEEE Signal Processing Magazine, vol.29, issue.6, pp.114-126, 2012.
DOI : 10.1109/MSP.2012.2205029

A. Krueger and R. Haeb-umbach, Model-Based Feature Enhancement for Reverberant Speech Recognition, IEEE Transactions on Audio, Speech, and Language Processing, vol.18, issue.7, pp.1692-1707, 2010.
DOI : 10.1109/TASL.2010.2049684

S. International and . Organization, Acoustics ? Measurement of the reverberation time of rooms with reference to other acoustical parameters, 1997.

M. R. Schroeder, New Method of Measuring Reverberation Time, The Journal of the Acoustical Society of America, vol.37, issue.3, pp.409-412, 1965.
DOI : 10.1121/1.1909343

C. F. Eyring, REVERBERATION TIME IN ???DEAD??? ROOMS, The Journal of the Acoustical Society of America, vol.1, issue.2A, pp.217-241, 1930.
DOI : 10.1121/1.1915175

J. Polack, La transmission de l'energie sonore dans les salles, 1988.

R. Ratnam, D. L. Jones, B. C. Wheeler, W. D. O-brien-jr, C. R. Lansing et al., Blind estimation of reverberation time, The Journal of the Acoustical Society of America, vol.114, issue.5, pp.2877-2892, 2003.
DOI : 10.1121/1.1616578

A. Baskind and A. De-cheveigne, Pitch-tracking of reverberant sounds, application to spatial description of sound scenes, Proc. AES 24th Int. Conf, 2003.
URL : https://hal.archives-ouvertes.fr/hal-01106996

J. Y. Wen, E. A. Habets, and P. A. Naylor, Blind estimation of reverberation time based on the distribution of signal decay rates, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, pp.329-332, 2008.
DOI : 10.1109/ICASSP.2008.4517613

H. W. Löllmann, E. Yilmaz, M. Jeub, and P. Vary, An improved algorithm for blind reverberation time estimation, Proc. IWAENC, 2010.

N. López, Y. Grenier, and I. Bourmeyster, Low variance blind estimation of the reverberation time, Proc. IWAENC, 2012.

R. Talmon and E. A. Habets, Blind reverberation time estimation by intrinsic modeling of reverberant speech, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing, pp.156-160, 2013.
DOI : 10.1109/ICASSP.2013.6637628

T. H. Falk, C. Zheng, and W. Chan, A Non-Intrusive Quality and Intelligibility Measure of Reverberant and Dereverberated Speech, IEEE Transactions on Audio, Speech, and Language Processing, vol.18, issue.7, pp.1766-1774, 2010.
DOI : 10.1109/TASL.2010.2052247

F. Xiong, S. Goetze, and B. T. Meyer, Blind estimation of reverberation time based on spectro-temporal modulation filtering, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing, pp.443-447, 2013.
DOI : 10.1109/ICASSP.2013.6637686

N. D. Gaubitch, H. W. Löllmann, M. Jeub, T. H. Falk, P. A. Naylor et al., Performance comparison of algorithms for blind reverberation time estimation from speech, Proc. IWAENC, 2012.

B. Loesch and B. Yang, Adaptive Segmentation and Separation of Determined Convolutive Mixtures under Dynamic Conditions, Proc. LVA/ICA, pp.41-48, 2010.
DOI : 10.1007/978-3-642-15995-4_6

C. Blandin, A. Ozerov, and E. Vincent, Multi-source TDOA estimation in reverberant audio using angular spectra and clustering, Signal Processing, vol.92, issue.8, 1950.
DOI : 10.1016/j.sigpro.2011.09.032
URL : https://hal.archives-ouvertes.fr/inria-00576297

E. Vincent, J. Barker, S. Watanabe, J. Le-roux, F. Nesta et al., The second ‘CHiME’ speech separation and recognition challenge: An overview of challenge systems and outcomes, 2013 IEEE Workshop on Automatic Speech Recognition and Understanding, 2013.
DOI : 10.1109/ASRU.2013.6707723

M. Cooke, J. Barker, S. Cunningham, and X. Shao, An audio-visual corpus for speech perception and automatic speech recognition, The Journal of the Acoustical Society of America, vol.120, issue.5, pp.2421-2424, 2006.
DOI : 10.1121/1.2229005

J. B. Allen and D. A. Berkley, Image method for efficiently simulating small???room acoustics, The Journal of the Acoustical Society of America, vol.65, issue.4, pp.943-950, 1979.
DOI : 10.1121/1.382599

A. Schwarz, K. Reindl, and W. Kellermann, A twochannel reverberation suppression scheme based on blind signal separation and Wiener filtering, Proc. ICASSP, pp.113-116, 2012.