S. Affes and Y. Grenier, A signal subspace tracking algorithm for microphone array processing of speech, IEEE Transactions on Speech and Audio Processing, vol.5, issue.5, pp.425-437, 1997.

J. B. Allen, Short-term spectral analysis, and modification by discrete Fourier transform, IEEE Transactions on Acoustics Speech and Signal Processing, vol.25, issue.3, pp.235-238, 1977.

S. Araki and T. Nakatani, Hybrid approach for multichannel source separation combining time-frequency mask with multi-channel Wiener filter, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.225-228, 2011.

H. Attias, New EM algorithms for source separation and deconvolution with a microphone array, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp.297-300, 2003.

, Optimizing Siri on HomePod in far-field settings, Audio Software Engineering and Siri Speech Team, issue.12, p.1, 2018.

C. Avendano, Acoustic echo suppression in the STFT domain, IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), pp.175-178, 2001.

W. Ben-kheder, D. Matrouf, M. Ajili, and J. Et-bonastre, A unified joint model to deal with nuisance variabilities in the i-vector space, IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol.26, issue.3, pp.633-645, 2018.
URL : https://hal.archives-ouvertes.fr/hal-01858318

W. Ben-kheder, D. Matrouf, J. Bonastre, M. Ajili, and P. Bousquet, Additive noise compensation in the i-vector space for speaker recognition, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.4190-4194, 2015.

D. A. Bendersky, J. W. Stokes, and H. S. Et-malvar, Nonlinear residual acoustic echo suppression for high levels of harmonic distortion, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.261-264, 2008.

J. Benesty, S. Makino, and J. Et-chen, , 2005.

A. Bertrand, S. Doclo, S. Gannot, N. Ono, and T. V. Et-waterschoot, Special issue on wireless acoustic sensor networks and ad hoc microphone arrays, Signal Processing, vol.107, pp.1-3, 2015.

B. Bertsekas and D. P. , Nonlinear Programming, 1999.

A. N. Birkett and R. A. Et-goubran, Acoustic echo cancellation using NLMSneural network structures, IEEE International Conference on Acoustics, Speech, and Signal Processing, vol.5, pp.3035-3038, 1995.

S. Boll, Suppression of acoustic noise in speech using spectral subtraction, IEEE Transactions on Acoustics, Speech, and Signal Processing, vol.27, issue.2, pp.113-120, 1979.

M. Brandstein and D. Ward, Microphone Arrays : Signal Processing, Techniques and Applications, 2001.

S. Braun and E. A. Habets, Dereverberation in noisy environments using reference signals and a maximum likelihood estimator, European Signal Processing Conference (EUSIPCO), pp.1-5, 2013.

S. Braun and E. A. Habets, A multichannel diffuse power estimator for dereverberation in the presence of multiple sources, EURASIP Journal on Audio, Speech, and Music Processing, issue.1, p.2015, 2015.

S. Braun and E. A. Habets, Online dereverberation for dynamic scenarios using a Kalman filter with an autoregressive model, IEEE Signal Processing Letters, vol.23, issue.12, pp.1741-1745, 2016.

S. Braun, A. Kuklasinski, O. Schwartz, O. Thiergart, E. A. Habets et al., Evaluation and comparison of late reverberation power spectral density estimators, Speech, and Language Processing, vol.26, pp.1056-1071, 2018.

S. Braun, B. Schwartz, S. Gannot, and E. A. Et-habets, Late reverberation PSD estimation for single-channel dereverberation using relative convolutive transfer functions, IEEE International Workshop on Acoustic Signal Enhancement (IWAENC), pp.1-5, 2016.

H. Buchner, R. Aichner, and W. Et-kellermann, A generalization of blind source separation algorithms for convolutive mixtures based on second-order statistics, IEEE Transactions on Speech and Audio Processing, vol.13, issue.1, pp.120-134, 2005.

Z. Chen, Y. Luo, and N. Et-mesgarani, Deep attractor network for single-microphone speaker separation, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.246-250, 2017.

A. S. Chhetri, A. C. Surendran, J. W. Stokes, and J. C. Platt, Regressionbased residual acoustic echo suppression, IEEE International Workshop on Acoustic Signal Enhancement (IWAENC), pp.201-204, 2005.

A. Cohen, G. Stemmer, S. Ingalsuo, and S. Et-markovich-golan, Combined weighted prediction error and minimum variance distortionless response for dereverberation, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp.446-450, 2017.

I. Cohen, Noise spectrum estimation in adverse environments : improved minima controlled recursive averaging, IEEE Transactions on Speech and Audio Processing, vol.11, issue.5, pp.466-475, 2003.

J. P. Costa, A. Lagrange, and A. Et-arliaud, Acoustic echo cancellation using nonlinear cascade filters, IEEE International Conference on Acoustics, Speech, and Signal Processing, vol.5, pp.389-392, 2003.

R. Crochiere, A weighted overlap-add method of short-time Fourier analysis/synthesis, IEEE Transactions on Acoustics, Speech, and Signal Processing, vol.28, issue.1, pp.99-102, 1980.

N. Dehak, P. J. Kenny, R. Dehak, P. Dumouchel, and P. Ouellet, Front-end factor analysis for speaker verification, IEEE Transactions on Audio, Speech, and Language Processing, vol.19, issue.4, pp.788-798, 2011.

T. Dietzen, S. Doclo, M. Moonen, and T. V. Et-waterschoot, Joint multimicrophone speech dereverberation and noise reduction using integrated sidelobe cancellation and linear prediction, In International Workshop on Acoustic Signal Enhancement, pp.221-225, 2018.

S. Doclo, M. Moonen, and E. Et-de-clippel, Combined acoustic echo and noise reduction using GSVD-based optimal filtering, IEEE International Conference on Acoustics, Speech, and Signal Processing, vol.2, pp.1061-1064, 2000.

L. Drude, T. Higuchi, K. Kinoshita, T. Nakatani, and R. Et-haeb-umbach, Dual frequency-and block-permutation alignment for deep learning based block-online blind source separation, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.691-695, 2018.

N. Q. Duong, E. Vincent, and R. Et-gribonval, 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.
URL : https://hal.archives-ouvertes.fr/inria-00541865

N. Q. Duong, E. Vincent, and R. Et-gribonval, An acoustically-motivated spatial prior for under-determined reverberant source separation, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.9-12, 2011.
URL : https://hal.archives-ouvertes.fr/inria-00566868

V. Emiya, E. Vincent, N. Harlander, and V. Et-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.
URL : https://hal.archives-ouvertes.fr/inria-00567152

. Bibliographie,

G. Enzner and P. Vary, Frequency-domain adaptive Kalman filter for acoustic echo control in hands-free telephones, Signal Processing, vol.86, issue.6, pp.1140-1156, 2006.

Y. Ephraim and D. Malah, Speech enhancement using a minimum-mean square error short-time spectral amplitude estimator, IEEE Transactions on Acoustics, Speech, and Signal Processing, vol.32, issue.6, pp.1109-1121, 1984.

H. Erdogan, J. R. Hershey, S. Watanabe, and J. Et-le-roux, Phase-sensitive and recognition-boosted speech separation using deep recurrent neural networks, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.708-712, 2015.

H. Erdogan, J. R. Hershey, S. Watanabe, M. I. Mandel, and J. Et-le-roux, Improved MVDR beamforming using single-channel mask prediction networks, Interspeech, pp.1981-1985, 2016.

J. S. Erkelens and R. Heusdens, Correlation-based and model-based blind singlechannel late-reverberation suppression in noisy time-varying acoustical environments, IEEE Transactions on Audio, Speech, and Language Processing, vol.18, issue.7, pp.1746-1765, 2010.

O. Ernst, S. E. Chazan, S. Gannot, and J. Et-goldberger, Speech dereverberation using fully convolutional networks, European Signal Processing Conference (EUSIPCO), pp.390-394, 2018.

M. Eskénazi, G. Levow, H. Meng, G. Parent, and D. Et-suendermann, Crowdsourcing for Speech Processing : Applications to Data Collection, Transcription and Assessment, 2013.

C. Faller and J. Chen, Suppressing acoustic echo in a spectral envelope space, IEEE Transactions on Speech and Audio Processing, vol.13, issue.5, pp.1048-1062, 2005.

A. Favrot, C. Faller, and F. Et-kuech, Modeling late reverberation in acoustic echo suppression, IEEE International Workshop on Acoustic Signal Enhancement (IWAENC), pp.1-4, 2012.

O. L. Frost, An algorithm for linearly constrained adaptive array processing, Proceedings of the IEEE, vol.60, issue.8, pp.926-935, 1972.

K. Furuya and A. Kataoka, Robust speech dereverberation using multichannel blind deconvolution with spectral subtraction, IEEE Transactions on Audio, Speech and Language Processing, vol.15, issue.5, pp.1579-1591, 2007.

C. Févotte, N. Bertin, and J. Et-durrieu, Nonnegative matrix factorization with the Itakura-Saito divergence : with application to music analysis, Neural Computation, vol.21, issue.3, pp.793-830, 2009.

S. Gannot, D. Burshtein, and E. Et-weinstein, Signal enhancement using beamforming and nonstationarity with applications to speech, IEEE Transactions on Signal Processing, vol.49, issue.8, pp.1614-1626, 2001.

E. M. Grais, D. Ward, and M. D. Et-plumbley, Raw multi-channel audio source separation using multi-resolution convolutional auto-encoders, European Signal Processing Conference (EUSIPCO), pp.1577-1581, 2018.

L. Griffiths and C. Jim, An alternative approach to linearly constrained adaptive beamforming, IEEE Transactions on Antennas and Propagation, vol.30, issue.1, pp.27-34, 1982.

A. Guérin, G. Faucon, and R. Et-le-bouquin-jeannès, Nonlinear acoustic echo cancellation based on Volterra filters, IEEE Transactions on Speech and Audio Processing, vol.11, issue.6, pp.672-683, 2003.

S. Gustafsson, R. Martin, P. Jax, and P. Et-vary, A psychoacoustic approach to combined acoustic echo cancellation and noise reduction, IEEE Transactions on Speech and Audio Processing, vol.10, issue.5, pp.245-256, 2002.

E. A. Habets, Multi-channel speech dereverberation based on a statistical model of late reverberation, IEEE International Conference on Acoustics, Speech, and Signal Processing, vol.4, pp.173-176, 2005.

E. A. Habets and S. Gannot, Dual-microphone speech dereverberation using a reference signal, IEEE International Conference on Acoustics, Speech and Signal Processing, vol.4, pp.901-904, 2007.

E. A. Habets, S. Gannot, and I. Et-cohen, Speech dereverberation using backward estimation of the late reverberant spectral variance, IEEE Convention of Electrical and Electronics Engineers in Israel (IEEEI), pp.384-388, 2008.

E. A. Habets, S. Gannot, and I. Et-cohen, Late reverberant spectral variance estimation based on a statistical model, IEEE Signal Processing Letters, vol.16, issue.9, pp.770-773, 2009.

E. A. Habets, S. Gannot, I. Cohen, and P. C. Et-sommen, Joint dereverberation and residual echo suppression of speech signals in noisy environments, IEEE Transactions on Audio, Speech, and Language Processing, vol.16, issue.8, pp.1433-1451, 2008.

S. Haykin, Adaptive filter theory, 2002.

W. Herbordtt, S. Nakamura, and W. Et-kellermann, Joint optimization of LCMV beamforming and acoustic echo cancellation for automatic speech recognition, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp.77-80, 2005.

J. R. Hershey, Z. Chen, J. Le-roux, and S. Et-watanabe, Deep clustering : Discriminative embeddings for segmentation and separation, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.31-35, 2016.

J. Heymann, L. Drude, and R. Et-haeb-umbach, Neural network based spectral mask estimation for acoustic beamforming, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.196-200, 2016.

. Bibliographie,

J. Heymann, L. Drude, R. Haeb-umbach, K. Kinoshita, and T. Et-nakatani, , 2018.

D. Frame-online and . Dereverberation, International Workshop on Acoustic Signal Enhancement (IWAENC), pp.466-470

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

O. Hoshuyama and A. Sugiyama, An acoustic echo suppressor based on a frequency-domain model of highly nonlinear residual echo, IEEE International Conference on Acoustics Speech and Signal Processing Proceedings (ICASSP), pp.269-272, 2006.

O. Hoshuyama, A. Sugiyama, and A. Et-hirano, A robust adaptive beamformer for microphone arrays with a blocking matrix using constrained adaptive filters, IEEE Transactions on Signal Processing, vol.47, issue.10, pp.2677-2684, 1999.

H. Huang, C. Hofmann, W. Kellermann, J. Chen, and J. Et-benesty, A multiframe parametric Wiener filter for acoustic echo suppression, IEEE International Workshop on Acoustic Signal Enhancement (IWAENC), pp.1-5, 2016.

P. Huang, M. Kim, M. Hasegawa-johnson, and P. Et-smaragdis, Joint optimization of masks and deep recurrent neural networks for monaural source separation, 2015.

, IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol.23, issue.12, pp.2136-2147

C. Huemmer, C. Hofmann, R. Maas, and W. Et-kellermann, The significanceaware EPFES to estimate a memoryless preprocessor for nonlinear acoustic echo cancellation, IEEE Global Conference on Signal and Information Processing, pp.557-561, 2014.

C. Huemmer, C. Hofmann, R. Maas, A. Schwarz, and W. Et-kellermann, The elitist particle filter based on evolutionary strategies as novel approach for nonlinear acoustic echo cancellation, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.1315-1319, 2014.

E. Hänsler and G. Schmidt, Acoustic Echo and Noise Control : a Practical Approach, 2004.

, Perceptual evaluation of speech quality (PESQ), an objective method for end-to-end speech quality assessment of narrowband telephone networks and speech codecs P, vol.862, 2001.

, Recommendation itu-r bs.1534-3 : method for the subjective assessment of intermediate quality level of audio systems, 2015.

N. Ito, S. Araki, T. Yoshioka, and T. Et-nakatani, Relaxed disjointness based clustering for joint blind source separation and dereverberation, International Workshop on Acoustic Signal Enhancement (IWAENC), pp.268-272, 2014.

A. Juki?, T. V. Waterschoot, T. Gerkmann, and S. Et-doclo, Speech dereverberation with convolutive transfer function approximation using map and variational deconvolution approaches, International Workshop on Acoustic Signal Enhancement (IWAENC), pp.50-54, 2014.

A. Juki?, T. V. Waterschoot, T. Gerkmann, and S. Et-doclo, Multi-channel linear prediction-based speech dereverberation with sparse priors, IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol.23, issue.9, pp.1509-1520, 2015.

H. Kagami, H. Kameoka, and M. Et-yukawa, Joint separation and dereverberation of reverberant mixtures with determined multichannel non-negative matrix factorization, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.31-35, 2018.

M. Kallinger and A. Mertins, Multi-channel room impulse response shaping -a study, IEEE International Conference on Acoustics Speech and Signal Processing Proceedings, vol.5, pp.101-104, 2006.

T. G. Kang, K. Kwon, J. W. Shin, and N. S. Kim, NMF-based target source separation using deep neural network, IEEE Signal Processing Letters, vol.22, issue.2, pp.229-233, 2015.

W. L. Kellermann, Acoustic echo cancellation for beamforming microphone arrays, Microphone Arrays : Signal Processing Techniques and Applications, pp.281-306, 2001.

P. Kenny, G. Boulianne, P. Ouellet, and P. Et-dumouchel, Joint factor analysis versus eigenchannels in speaker recognition, IEEE Transactions on Audio, Speech and Language Processing, vol.15, issue.4, pp.1435-1447, 2007.

J. Kim, M. El-kharmy, and J. Et-lee, End-to-End Multi-Task Denoising for joint SDR and PESQ Optimization, pp.1-10, 2019.

D. P. Kingma and J. Ba, Adam : a method for stochastic optimization, International Conference on Learning Representations, 2015.

K. Kinoshita, M. Delcroix, H. Kwon, T. Mori, and N. Et, Neural networkbased spectrum estimation for online WPE dereverberation, Interspeech, pp.384-388, 2017.

K. Kinoshita, M. Delcroix, T. Nakatani, and M. Et-miyoshi, Suppression of late reverberation effect on speech signal using long-term multiple-step linear prediction, IEEE Transactions on Audio, Speech, and Language Processing, vol.17, issue.4, pp.534-545, 2009.

I. Kodrasi and H. Bourlard, Single-channel late reverberation power spectral density estimation using denoising autoencoders, Interspeech, pp.1319-1323, 2018.

I. Kodrasi and S. Doclo, Late reverberant power spectral density estimation based on an eigenvalue decomposition, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.611-615, 2017.

I. Kodrasi and S. Doclo, Analysis of eigenvalue decomposition-based late reverberation power spectral density estimation, Speech, and Language Processing, vol.26, pp.1106-1118, 2018.

I. Kodrasi and S. Doclo, Joint late reverberation and noise power spectral density estimation in a spatially homogeneous noise field, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.441-445, 2018.

I. Kodrasi, T. Gerkmann, and S. Et-doclo, Frequency-domain single-channel inverse filtering for speech dereverberation : theory and practice, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.5177-5181, 2014.

I. Kodrasi, S. Goetze, and S. Et-doclo, Regularization for partial multichannel equalization for speech dereverberation, IEEE Transactions on Audio, Speech, and Language Processing, vol.21, issue.9, pp.1879-1890, 2013.

F. Kuech, A. Mitnacht, and W. Et-kellermann, Nonlinear acoustic echo cancellation using adaptive orthogonalized power filters, IEEE International Conference on Acoustics, Speech, and Signal Processing, vol.3, pp.105-108, 2005.

A. Kuklasi?ski, S. Doclo, S. H. Jensen, and J. Et-jensen, Maximum likelihood based multi-channel isotropic reverberation reduction for hearing aids, European Signal Processing Conference (EUSIPCO), pp.61-65, 2014.

A. Kuklasi?ski, S. Doclo, S. H. Jensen, and J. Et-jensen, Maximum likelihood PSD estimation for speech enhancement in reverberation and noise, IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol.24, issue.9, pp.1599-1612, 2016.

L. Bouquin-jeannès, R. Scalart, P. Faucon, G. Et-beaugeant, and C. , Combined noise and echo reduction in hands-free systems : a survey, IEEE Transactions on Speech and Audio Processing, vol.9, issue.8, pp.808-820, 2001.

J. Le-roux, J. R. Hershey, and F. Et-weninger, Deep NMF for speech separation, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.66-70, 2015.

J. Le-roux, S. Wisdom, H. Erdogan, and J. R. Et-hershey, SDR -half-baked or well done, IEEE International Conference on Acoustics, Speech and Signal Processing, p.5, 2019.

K. Lebart, J. M. Boucher, and P. N. Et-denbigh, A new method based on spectral subtraction for speech dereverberation, Acta Acustica united with Acustica, vol.87, issue.3, pp.359-366, 2001.

C. M. Lee, J. W. Shin, and N. S. Kim, Stereophonic acoustic echo suppression incorporating spectro-temporal correlations, IEEE Signal Processing Letters, vol.21, issue.3, pp.316-320, 2014.

C. M. Lee, J. W. Shin, and N. S. Kim, DNN-based residual echo suppression, IEEE International Conference on Digital Signal Processing (DSP), pp.1775-1779, 2015.

D. D. Lee and H. S. Seung, Learning the parts of objects by non-negative matrix factorization, Nature, vol.401, issue.6755, pp.788-791, 1999.

S. Y. Lee and N. S. Kim, A statistical model-based residual echo suppression, IEEE Signal Processing Letters, vol.14, issue.10, pp.758-761, 2007.

S. Leglaive, R. Badeau, and G. Et-richard, Multichannel audio source separation with probabilistic reverberation priors, IEEE/ACM Transactions on Audio, Speech and Language Processing, vol.24, issue.12, pp.2453-2465, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01370051

S. Leglaive, L. Girin, and R. Et-horaud, Semi-supervised multichannel speech enhancement with variational autoencoders and non-negative matrix factorization, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.101-105, 2019.
URL : https://hal.archives-ouvertes.fr/hal-02005102

F. Lim, W. Zhang, E. A. Habets, and P. A. Naylor, Robust multichannel dereverberation using relaxed multichannel least squares, Speech, and Language Processing, vol.22, pp.1379-1390, 2014.

A. Liutkus, D. Fitzgerald, and Z. Et-rafii, Scalable audio separation with light kernel additive modelling, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.76-80, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01114890

A. Liutkus, D. Fitzgerald, Z. Rafii, B. Pardo, and L. Et-daudet, Kernel additive models for source separation, IEEE Transactions on Signal Processing, vol.62, issue.16, pp.4298-4310, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01011044

P. C. Loizou, Speech Enhancement : Theory and Practice, 2007.

H. W. Löllmann and P. Vary, A blind speech enhancement algorithm for the suppression of late reverberation and noise, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.3989-3992, 2009.

X. Lu, Y. Tsao, S. Matsuda, and C. Et-hori, Speech enhancement based on deep denoising autoencoder, Interspeech, pp.436-440, 2013.

. Bibliographie,

L. Valero, M. Habets, and E. A. , Multi-microphone acoustic echo cancellation using relative echo transfer functions, IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), pp.229-233, 2017.

L. Valero, M. Habets, and E. A. , Low-complexity multi-microphone acoustic echo control in the short-time Fourier transform domain, Speech, and Language Processing, vol.27, pp.595-609, 2019.

Y. Luo, Z. Chen, and N. Et-mesgarani, Speaker-independent Speech Separation with Deep Attractor Network, IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol.26, issue.4, pp.787-796, 2018.

Y. Luo and N. Mesgarani, Conv-TasNet : surpassing ideal time-frequency magnitude masking for speech separation, Speech, and Language Processing, vol.27, pp.1256-1266, 2019.

W. Mack, S. Chakrabarty, F. Stöter, S. Braun, B. Edler et al., Single-channel dereverberation using direct MMSE optimization and bidirectional LSTM networks, Interspeech, pp.1314-1318, 2018.

A. Mader, H. Puder, and G. U. Schmidt, Step-size control for acoustic echo cancellation filters -an overview, Signal Processing, vol.80, issue.9, pp.1697-1719, 2000.

J. Madrid-portillo, Deep learning applied to acoustic echo cancellation, 2017.

J. Malek and Z. Koldovský, Hammerstein model-based nonlinear echo cancelation using a cascade of neural network and adaptive linear filter, IEEE International Workshop on Acoustic Signal Enhancement (IWAENC), pp.1-5, 2016.

S. Malik and G. Enzner, State-space frequency-domain adaptive filtering for nonlinear acoustic echo cancellation, IEEE Transactions on Audio, Speech, and Language Processing, vol.20, issue.7, pp.2065-2079, 2012.

R. Martin, Noise power spectral density estimation based on optimal smoothing and minimum statistics, IEEE Transactions on Speech and Audio Processing, vol.9, issue.5, pp.504-512, 2001.

R. Martin and P. Vary, Combined acoustic echo control and noise reduction for hands-free telephony -state of the art and perspectives, European Signal Processing Conference (EUSIPCO), pp.1-4, 1996.

T. Matsui, T. Kanno, and S. Et-furui, Speaker recognition using HMM composition in noisy environments, Computer Speech & Language, vol.10, issue.2, pp.107-116, 1996.

R. Mcaulay and M. Malpass, Speech enhancement using a soft-decision noise suppression filter, IEEE Transactions on Acoustics, Speech, and Signal Processing, vol.28, issue.2, pp.137-145, 1980.

W. S. Mcculloch and W. Pitts, A logical calculus of the ideas immanent in nervous activity, The Bulletin of Mathematical Biophysics, vol.5, issue.4, pp.115-133, 1943.

M. Miyoshi and Y. Kaneda, Inverse filtering of room acoustics, IEEE Transactions on Acoustics, Speech, and Signal Processing, vol.36, issue.2, pp.145-152, 1988.

N. Mohammadiha, P. Smaragdis, and S. Et-doclo, Joint acoustic and spectral modeling for speech dereverberation using non-negative representations, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.4410-4414, 2015.

W. A. Munson and M. B. Gardner, Standardizing auditory tests, The Journal of the Acoustical Society of America, vol.22, issue.5, pp.675-675, 1950.

V. Myllylä, Residual echo filter for enhanced acoustic echo control, Signal Processing, vol.86, issue.6, pp.1193-1205, 2006.

T. Nakatani and K. Kinoshita, A unified convolutional beamformer for simultaneous denoising and dereverberation, IEEE Signal Processing Letters, vol.26, issue.6, pp.903-907, 2019.

T. Nakatani, T. Yoshioka, K. Kinoshita, M. Miyoshi, and B. H. Et-juang, Blind speech dereverberation with multi-channel linear prediction based on short time fourier transform representation, IEEE International Conference on Acoustics, Speech and Signal Processing, pp.85-88, 2008.

T. Nakatani, T. Yoshioka, K. Kinoshita, M. Miyoshi, and B. H. Et-juang, Speech dereverberation based on variance-normalized delayed linear prediction, IEEE Transactions on Audio, Speech, and Language Processing, vol.18, issue.7, pp.1717-1731, 2010.

P. A. Naylor and N. D. Gaubitch, , 2010.

K. S. Ngia and J. Sjobert, Nonlinear acoustic echo cancellation using a Hammerstein model, IEEE International Conference on Acoustics, Speech, and Signal Processing, vol.2, pp.1229-1232, 1998.

A. A. Nugraha, A. Liutkus, and E. Vincent, Multichannel audio source separation with deep neural networks, IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol.24, issue.9, pp.1652-1664, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01163369

A. A. Nugraha, A. Liutkus, and E. Vincent, Multichannel music separation with deep neural networks, European Signal Processing Conference (EUSIPCO), pp.1748-1752, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01334614

T. Ochiai, S. Watanabe, T. Hori, and J. R. Et-hershey, Multichannel end-to-end speech recognition, International Conference on Machine Learning (ICML), pp.2632-2641, 2017.

A. V. Oppenheim and J. S. Lim, The importance of phase in signals, Proceedings of the IEEE, vol.69, issue.5, pp.529-541, 1981.

. Bibliographie,

A. Ozerov and C. Fevotte, 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.

A. Ozerov, E. Vincent, and F. Et-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.
URL : https://hal.archives-ouvertes.fr/inria-00536917

C. Paleologu, J. Benesty, and S. Et-ciochina, A variable step-size affine projection algorithm designed for acoustic echo cancellation, IEEE Transactions on Audio, Speech, and Language Processing, vol.16, issue.8, pp.1466-1478, 2008.

C. Paleologu, J. Benesty, and S. Et-ciochin?, Study of the general Kalman filter for echo cancellation, IEEE Transactions on Audio, Speech, and Language Processing, vol.21, issue.8, pp.1539-1549, 2013.

C. Paleologu, S. Ciochin?, J. Benesty, and S. L. Grant, An overview on optimized NLMS algorithms for acoustic echo cancellation, EURASIP Journal on Advances in Signal Processing, issue.97, pp.1-19, 2015.

V. Panayotov, G. Chen, D. Povey, and S. Et-khudanpur, Librispeech : an ASR corpus based on public domain audio books, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.5206-5210, 2015.

S. J. Park, C. G. Cho, C. Lee, and D. H. Et-youn, Integrated echo and noise canceler for hands-free applications, IEEE Transactions on Circuits and Systems II : Analog and Digital Signal Processing, vol.49, pp.188-195, 2002.

S. R. Park and J. W. Lee, A fully convolutional neural network for speech enhancement, Interspeech, pp.1993-1997, 2017.

Y. Park and J. Chang, Frequency domain acoustic echo suppression based on soft decision, IEEE Signal Processing Letters, vol.16, issue.1, pp.53-56, 2009.

Y. Park and J. Chang, Integrated acoustic echo and background noise suppression technique based on soft decision, EURASIP Journal on Advances in Signal Processing, vol.2012, issue.11, pp.1-9, 2012.

J. Polack, La Transmission de l'Énergie Sonore dans les Salles, 1988.

D. Rethage, J. Pons, and X. Et-serra, A Wavenet for speech denoising, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.5069-5073, 2018.

G. Reuven, S. Gannot, and I. Et-cohen, Joint noise reduction and acoustic echo cancellation using the transfer-function generalized sidelobe canceller, Speech Communication, vol.49, issue.7-8, pp.623-635, 2007.

G. Rombouts and M. Et-moonen, An integrated approach to acoustic noise and echo cancellation, Signal Processing, vol.85, issue.4, pp.849-871, 2005.

T. N. Sainath, R. J. Weiss, K. W. Wilson, B. Li, A. Narayanan et al., Multichannel signal processing with deep neural networks for automatic speech recognition, IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol.25, issue.5, pp.965-979, 2017.

A. K. Sarkar, J. F. Bonastre, and D. Et-matrouf, A study on the roles of total variability space and session variability modeling in speaker recognition, International Journal of Speech Technology, vol.19, issue.1, pp.111-120, 2016.

H. Sawada, H. Kameoka, S. Araki, and N. Et-ueda, Multichannel extensions of non-negative matrix factorization with complex-valued data, IEEE Transactions on Audio, Speech, and Language Processing, vol.21, issue.5, pp.971-982, 2013.

H. Sawada, R. Mukai, S. Araki, and S. Et-makino, A robust and precise method for solving the permutation problem of frequency-domain blind source separation, IEEE Transactions on Speech and Audio Processing, vol.12, issue.5, pp.530-538, 2004.

M. Scarpiniti, D. Comminiello, R. Parisi, and A. Et-uncini, Comparison of Hammerstein and Wiener systems for nonlinear acoustic echo cancelers in reverberant environments, International Conference on Digital Signal Processing (DSP), pp.1-6, 2011.

D. Schmid, S. Malik, and G. Et-enzner, An expectation-maximization algorithm for multichannel adaptive speech dereverberation in the frequency-domain, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.17-20, 2012.

B. Schwartz, S. Gannot, and E. A. Et-habets, Online speech dereverberation using Kalman filter and EM algorithm, IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol.23, issue.2, pp.394-406, 2015.

O. Schwartz, S. Braun, S. Gannot, and E. A. Et-habets, Maximum likelihood estimation of the late reverberant power spectral density in noisy environments, IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WAS-PAA), pp.1-5, 2015.

O. Schwartz, S. Gannot, and E. A. Et-habets, Multi-Microphone Speech Dereverberation and Noise Reduction Using Relative Early Transfer Functions, IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol.23, issue.2, pp.240-251, 2015.

O. Schwartz, S. Gannot, and E. A. Et-habets, An Expectation-Maximization Algorithm for Multimicrophone Speech Dereverberation and Noise Reduction With Coherence Matrix Estimation, IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol.24, issue.9, pp.1495-1510, 2016.

B. Schwartz, O. Gannot, S. Et-habets, and E. A. , Joint estimation of late reverberant and speech power spectral densities in noisy environments using frobenius norm, European Signal Processing Conference (EUSIPCO), pp.1123-1127, 2016.

O. Schwartz, S. Gannot, and E. A. Et-habets, Joint maximum likelihood estimation of late reverberant and speech power spectral density in noisy environments, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.151-155, 2016.

A. Schwarz, C. Hofmann, and W. Et-kellermann, Spectral feature-based nonlinear residual echo suppression, IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), pp.1-4, 2013.

S. Seki, H. Kameoka, L. Li, T. Toda, and K. Et-takeda, Generalized multichannel variational autoencoder for underdetermined source separation, European Signal Processing Conference (EUSIPCO), pp.1-5, 2018.

H. Seo, M. Lee, and J. Chang, Integrated acoustic echo and background noise suppression based on stacked deep neural networks, Applied Acoustics, vol.133, pp.194-201, 2018.

Z. Shi, H. Lin, L. Liu, R. Liu, S. Hayakawa et al., Endto-end monaural speech separation with multi-scale dynamic weighted gated dilated convolutional pyramid network, Interspeech, pp.4614-4618, 2019.

L. S. Simon and E. Vincent, A general framework for online audio source separation, Latent Variable Analysis and Signal Separation, pp.397-404, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00655398

P. Smaragdis, Convolutive speech bases and their application to supervised speech separation, IEEE Transactions on Audio, Speech, and Language Processing, vol.15, issue.1, pp.1-12, 2007.

M. Sondhi, D. Morgan, and J. Hall, Stereophonic acoustic echo cancellation-an overview of the fundamental problem, IEEE Signal Processing Letters, vol.2, issue.8, pp.148-151, 1995.

M. M. Sondhi, An adaptive echo canceller, Bell System Technical Journal, vol.46, issue.3, pp.497-511, 1967.

M. Souden, J. Chen, J. Benesty, and S. Et-affes, Gaussian model-based multichannel speech presence probability, IEEE Transactions on Audio, Speech, and Language Processing, vol.18, issue.5, pp.1072-1077, 2010.

A. Stenger and W. Kellermann, Adaptation of a memoryless preprocessor for nonlinear acoustic echo cancelling, Signal Processing, vol.80, issue.9, pp.1747-1760, 2000.

S. S. Stevens, J. Volkmann, and E. B. Et-newman, A scale for the measurement of the psychological magnitude pitch, The Journal of Acoustical Society of America, vol.8, issue.3, pp.185-190, 1937.

C. H. Taal, R. C. Hendriks, R. Heusdens, and J. Et-jensen, A short-time objective intelligibility measure for time-frequency weighted noisy speech, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.4214-4217, 2010.

R. Takeda, K. Nakadai, T. Takahashi, K. Komatani, T. Ogata et al., ICA-based efficient blind dereverberation and echo cancellation method for barge-in-able robot audition, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.3677-3680, 2009.

K. Tan and D. Wang, A convolutional recurrent neural network for real-time speech enhancement, Interspeech, pp.3229-3233, 2018.

M. Togami, Online speech source separation based on maximum likelihood of local Gaussian modeling, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.213-216, 2011.

M. Togami, Variational Bayes state space model for acoustic echo reduction and dereverberation, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.101-105, 2015.

M. Togami, Simultaneous optimization of forgetting factor and time-frequency mask for block online multi-channel speech enhancement, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.2702-2706, 2019.

M. Togami and K. Hori, Multichannel semi-blind source separation via local Gaussian modeling for acoustic echo reduction, European Signal Processing Conference (EUSIPCO), pp.496-500, 2011.

M. Togami and Y. Kawaguchi, Speech enhancement combined with dereverberation and acoustic echo reduction for time varying systems, IEEE Statistical Signal Processing Workshop (SSP), pp.357-360, 2012.

M. Togami and Y. Kawaguchi, Simultaneous optimization of acoustic echo reduction, speech dereverberation, and noise reduction against mutual interference, 2014.

, Speech, and Language Processing, vol.22, pp.1612-1623

M. Togami, Y. Kawaguchi, and R. Et-takashima, Frequency domain acoustic echo reduction based on Kalman smoother with time-varying noise covariance matrix, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.5909-5913, 2014.

M. Togami, Y. Kawaguchi, R. Takeda, Y. Obuchi, and N. Et-nukaga, Optimized speech dereverberation from probabilistic perspective for time varying acoustic transfer function, IEEE Transactions on Audio, Speech, and Language Processing, vol.21, issue.7, pp.1369-1380, 2013.

. Bibliographie,

Y. Tong and Y. Gu, Acoustic echo suppression based on speech presence probability, IEEE International Conference on Digital Signal Processing (DSP), pp.35-38, 2016.

V. Turbin, A. Gilloire, and P. Et-scalart, Comparison of three post-filtering algorithms for residual acoustic echo reduction, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp.307-310, 1997.

M. L. Valero, E. Mabande, and E. A. Et-habets, Signal-based late residual echo spectral variance estimation, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.5914-5918, 2014.

J. M. Valin, On adjusting the learning rate in frequency domain echo cancellation with double-talk, IEEE Transactions on Audio, Speech, and Language Processing, vol.15, issue.3, pp.1030-1034, 2007.

E. Vincent, Improved perceptual metrics for the evaluation of audio source separation, Latent Variable Analysis and Signal Separation (LVA/ICA), pp.430-437, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00653196

E. Vincent and D. R. Campbell, , 2008.

E. Vincent, R. Gribonval, and C. Et-févotte, Performance measurement in blind audio source separation, IEEE Transactions on Audio, Speech, and Language Processing, vol.14, issue.4, pp.1462-1469, 2006.
URL : https://hal.archives-ouvertes.fr/inria-00544230

E. Vincent, T. Virtanen, and S. Et-gannot, Audio source separation and speech enhancement, 2018.
URL : https://hal.archives-ouvertes.fr/hal-01881431

T. S. Wada and B. H. Juang, Enhancement of residual echo for robust acoustic echo cancellation, IEEE Transactions on Audio, Speech, and Language Processing, vol.20, issue.1, pp.175-189, 2012.

Y. Wang, A. Narayanan, and D. Wang, On training targets for supervised speech separation, IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol.22, issue.12, pp.1849-1858, 2014.

Z. Wang, E. Vincent, R. Serizel, and Y. Et-yan, Rank-1 constrained multichannel Wiener filter for speech recognition in noisy environments, Computer Speech & Language, vol.49, pp.37-51, 2018.
URL : https://hal.archives-ouvertes.fr/hal-01634449

Z. Wang, J. Le-roux, and J. R. Et-hershey, Multi-channel deep clustering : discriminative spectral and spatial embeddings for speaker-independent speech separation, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.1-5, 2018.

Z. Wang, J. Le-roux, D. Wang, and H. Et, End-to-end speech separation with unfolded iterative phase reconstruction, Interspeech, pp.2708-2712, 2018.

F. Weninger, J. R. Hershey, J. Le-roux, and B. Et-schuller, Discriminatively trained recurrent neural networks for single-channel speech separation, IEEE Global Conference on Signal and Information Processing, pp.577-581, 2014.

F. Weninger, J. Le-roux, J. Hershey, and S. Et-watanabe, Discriminative NMF and its application to single-channel source separation, Interspeech, pp.865-869, 2014.

B. Widrow, J. R. Glover, J. M. Mccool, J. Kaunitz, C. S. Williams et al., Adaptive noise cancelling : Principles and applications, Proceedings of the IEEE, vol.63, issue.12, pp.1692-1716, 1975.

D. S. Williamson and D. Wang, Speech dereverberation and denoising using complex ratio masks, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.5590-5594, 2017.

D. S. Williamson, Y. Wang, and D. Wang, Complex ratio masking for monaural speech separation, IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol.24, issue.3, pp.483-492, 2016.

S. Winter, W. Kellermann, H. Sawada, and S. Et-makino, MAP-based underdetermined blind source separation of convolutive mixtures by hierarchical clustering and -norm minimization, EURASIP Journal on Advances in Signal Processing, issue.1, pp.1-12, 2007.

L. P. Wong and M. Russell, Text-dependent speaker verification under noisy conditions using parallel model combination, IEEE International Conference on Acoustics, Speech, and Signal Processing, vol.1, pp.457-460, 2001.

B. Wu, M. Yang, K. Li, Z. Huang, S. M. Siniscalchi et al., A reverberation-time-aware DNN approach leveraging spatial information for microphone array dereverberation, EURASIP Journal on Advances in Signal Processing, vol.2017, issue.81, pp.1-13, 2017.

J. Wung, T. S. Wada, B. Juang, B. Lee, T. Kalker et al., A system approach to residual echo suppression in robust hands-free teleconferencing, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.445-448, 2011.

B. Xia and C. Bao, Speech enhancement with weighted denoising auto-encoder, Interspeech, pp.3444-3448, 2013.

X. Xiao, S. Watanabe, H. Erdogan, L. Lu, J. Hershey et al., Deep beamforming networks for multichannel speech recognition, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.5745-5749, 2016.

. Bibliographie,

O. Y?lmaz and S. Rickard, Blind separation of speech mixtures via time-frequency masking, IEEE Transactions on Signal Processing, vol.52, issue.7, pp.1830-1847, 2004.

T. Yoshioka and T. Nakatani, Generalization of multi-channel linear prediction methods for blind MIMO impulse response shortening, IEEE Transactions on Audio, Speech, and Language Processing, vol.20, issue.10, pp.2707-2720, 2012.

T. Yoshioka and T. Nakatani, Dereverberation for reverberation-robust microphone arrays, European Signal Processing Conference (EUSIPCO), pp.1-5, 2013.

T. Yoshioka, T. Nakatani, and M. Et-miyoshi, Integrated speech enhancement method using noise suppression and dereverberation, IEEE Transactions on Audio, Speech, and Language Processing, vol.17, issue.2, pp.231-246, 2009.

T. Yoshioka, T. Nakatani, M. Miyoshi, and H. G. Et-okuno, Blind separation and dereverberation of speech mixtures by joint optimization, IEEE Transactions on Audio, Speech, and Language Processing, vol.19, issue.1, pp.69-84, 2011.

T. Yoshioka, H. Tachibana, T. Nakatani, and M. Et-miyoshi, Adaptive dereverberation of speech signals with speaker-position change detection, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.3733-3736, 2009.

D. Yu, M. Kolbaek, Z. Tan, and J. Et-jensen, Permutation invariant training of deep models for speaker-independent multi-talker speech separation, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.241-245, 2017.

H. Zhang and D. Wang, Deep learning for acoustic echo cancellation in noisy and double-talk scenarios, Interspeech, pp.3239-3243, 2018.

W. Zhang, E. A. Habets, and P. A. Naylor, On the use of channel shortening in multichannel acoustic system equalization, International Workshop on Acoustic Signal Enhancement (IWAENC), 2010.

X. Zhao, Y. Wang, and D. Wang, Robust speaker identification in noisy and reverberant conditions, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.3997-4001, 2014.

Y. Zhao, Z. Wang, and D. Wang, A two-stage algorithm for noisy and reverberant speech enhancement, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.5580-5584, 2017.