X. Anguera, C. Wooters, and J. Hernando, Acoustic Beamforming for Speaker Diarization of Meetings, IEEE Transactions on Audio, Speech and Language Processing, vol.15, issue.7, pp.2011-2023, 2007.
DOI : 10.1109/TASL.2007.902460

D. Baby, T. Virtanen, and H. Van-hamme, Coupled dictionary-based speech enhancement for CHiME-3 challenge, 2015.

H. Barfuss, C. Huemmer, A. Schwarz, and W. Kellermann, Robust coherence-based spectral enhancement for distant speech recognition ArXiv:1509, p.6882, 2015.

J. Barker, R. Marxer, E. Vincent, and S. Watanabe, The third ???CHiME??? speech separation and recognition challenge: Dataset, task and baselines, 2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU), pp.2015-504, 2015.
DOI : 10.1109/ASRU.2015.7404837
URL : https://hal.archives-ouvertes.fr/hal-01211376

J. Barker, E. Vincent, N. Ma, H. Christensen, and P. Green, The PASCAL CHiME speech separation and recognition challenge, Computer Speech & Language, vol.27, issue.3, pp.621-633, 2013.
DOI : 10.1016/j.csl.2012.10.004
URL : https://hal.archives-ouvertes.fr/hal-00646370

H. Christensen, J. Barker, N. Ma, and P. Green, The CHiME corpus: a resource and a challenge for Computational Hearing in Multisoure Environments, Proceedings of the 11th Annual Conference of the International Speech Communication Association, 2010.

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

M. Delcroix, K. Kinoshita, . Tnakatani, S. Araki, A. Ogawa et al., Speech recognition in the presence of highly non-stationary noise based on spatial, spectral and temporal speech/noise modeling combined with dynamic variance adaptation, Proc. 1st CHiME workshop on Machine Listening in Multisource Environments, pp.12-17, 2011.

J. Du, Q. Wang, Y. H. Tu, X. Bao, L. R. Dai et al., An information fusion approach to recognizing microphone array speech in the CHiME-3 challenge based on a deep learning framework, 2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU), pp.430-435, 2015.
DOI : 10.1109/ASRU.2015.7404827

A. El-desoky-mousa, E. Marchi, and B. Schuller, The ICSTM+TUM+UP approach to the 3rd CHiME challenge: Single-channel LSTM speech enhancement with multi-channel correlation shaping dereverberation and LSTM language models ArXiv:1510, p.268, 2015.

A. Farina, Simultaneous measurement of impulse response and distortion with a swept sine technique, Proc. 108th AES convention, 2000.

Y. Fujita, R. Takashima, T. Homma, R. Ikeshita, Y. Kawaguchi et al., Unified ASR system using LGM-based source separation, noise-robust feature extraction, and word hypothesis selection, 2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU), pp.416-422, 2015.
DOI : 10.1109/ASRU.2015.7404825

J. Heymann, L. Drude, A. Chinaev, and R. Haeb-umbach, BLSTM supported GEV beamformer front-end for the 3RD CHiME challenge, 2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU), pp.444-451, 2015.
DOI : 10.1109/ASRU.2015.7404829

H. G. Hirsch and D. Pearce, The Aurora experimental framework for the performance evaluation of speech recognition systems under noisy conditions, Proceedings of the 6th International Conference on Spoken Language Processing (ICSLP), pp.29-32, 2000.

T. Hori, Z. Chen, H. Erdogan, J. R. Hershey, J. Le-roux et al., The MERL/SRI system for the 3RD CHiME challenge using beamforming, robust feature extraction, and advanced speech recognition, 2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU), pp.475-481, 2015.
DOI : 10.1109/ASRU.2015.7404833

N. Ma, R. Marxer, J. Barker, and G. J. Brown, Exploiting synchrony spectra and deep neural networks for noise-robust automatic speech recognition, 2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU), pp.490-495, 2015.
DOI : 10.1109/ASRU.2015.7404835

A. Misbullah and J. T. Chien, Deep feedforward and recurrent neural networks for speech recognition (unpublished) Unpublished technical report

N. Moritz, S. Gerlach, K. Adiloglu, J. Anemüller, B. Kollmeier et al., A CHiME-3 challenge system: Long-term acoustic features for noise robust automatic speech recognition, 2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU), pp.468-474, 2015.
DOI : 10.1109/ASRU.2015.7404832

D. Mostefa, N. Moreau, K. Choukri, G. Potamianos, S. M. Chu et al., The CHIL audiovisual corpus for lecture and meeting analysis inside smart rooms, Language Resources and Evaluation, vol.41, issue.3-4, pp.3-4, 2007.
DOI : 10.1007/s10579-007-9054-4

Z. Pang and F. Zhu, Noise-robust ASR for the third 'CHiME' challenge exploiting timefrequency masking based multi-channel speech enhancement and recurrent neural network ArXiv:1509, p.7211, 2015.

N. Parihar, J. Picone, D. Pearce, and H. G. Hirsch, Performance analysis of the Aurora large vocabulary baseline system, Proceedings of the 2004 European Signal Processing Conference (EUSIPCO), pp.553-556, 2004.

L. Pfeifenberger, T. Schrank, M. Zöhrer, M. Hagmüller, and F. Pernkopf, Multi-channel speech processing architectures for noise robust speech recognition: 3rd CHiME challenge results, 2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU), pp.452-459, 2015.
DOI : 10.1109/ASRU.2015.7404830

A. Prudnikov, M. Korenevsky, and S. Aleinik, Adaptive beamforming and adaptive training of DNN acoustic models for enhanced multichannel noisy speech recognition, 2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU), pp.401-408, 2015.
DOI : 10.1109/ASRU.2015.7404823

S. Renals, T. Hain, and H. Bourlard, Interpretation of Multiparty Meetings the AMI and Amida Projects, 2008 Hands-Free Speech Communication and Microphone Arrays, pp.115-118, 2001.
DOI : 10.1109/HSCMA.2008.4538700

J. C. Segura, T. Ehrette, A. Potamianos, D. Fohr, I. Illina et al., The HIWIRE database, a noisy and non-native English speech corpus for cockpit communication. Online, 2007.

S. Sivasankaran, A. A. Nugraha, E. Vincent, J. A. Morales-cordovilla, S. Dalmia et al., Robust ASR using neural network based speech enhancement and feature simulation, 2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU), pp.482-489, 2015.
DOI : 10.1109/ASRU.2015.7404834
URL : https://hal.archives-ouvertes.fr/hal-01204553

Y. Tachioka, H. Kanagawa, and J. Ishii, The overview of the MELCO ASR system for the third CHiME challenge, 2015.

Y. Tachioka, S. Watanabe, J. Le-roux, and J. R. Hershey, Discriminative methods for noise robust speech recognition: a chime challenge benchmark, Proc. 2nd CHiME workshop on Machine Listening in Multisource Environments, 2013.

H. D. Tran, J. Dennis, and L. Yiren, A comparative study of multi-channel processing methods for noisy automatic speech recognition on the third CHiME challenge

K. Vesel´yvesel´y, A. Ghoshal, L. Burget, and D. Povey, Sequence-discriminative training of deep neural networks, Proc. INTERSPEECH, pp.2345-2349, 2013.

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, pp.162-167, 2013.
DOI : 10.1109/ASRU.2013.6707723

E. Vincent, J. Barker, S. Watanabe, J. Le-roux, F. Nesta et al., The second ‘chime’ speech separation and recognition challenge: Datasets, tasks and baselines, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing, 2013.
DOI : 10.1109/ICASSP.2013.6637622

T. T. Vu, B. Bigot, and E. S. Chng, Speech enhancement using beamforming and non negative matrix factorization for robust speech recognition in the CHiME-3 challenge, 2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU), pp.423-429, 2015.
DOI : 10.1109/ASRU.2015.7404826

X. Wang, C. Wu, P. Zhang, Z. Wang, Y. Liu et al., Noise robust IOA/CAS speech separation and recognition system for the third, CHIME' challenge, 2015.

T. Yoshioka, N. Ito, M. Delcroix, A. Ogawa, K. Kinoshita et al., The NTT CHiME-3 system: Advances in speech enhancement and recognition for mobile multi-microphone devices, 2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU), pp.436-443, 2015.
DOI : 10.1109/ASRU.2015.7404828

S. Zhao, X. Xiao, Z. Zhang, T. N. Nguyen, X. Zhong et al., Robust speech recognition using beamforming with adaptive microphone gains and multichannel noise reduction, 2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU), pp.460-467, 2015.
DOI : 10.1109/ASRU.2015.7404831

Y. Zhuang, Y. You, T. Tan, M. Bi, S. Bu et al., System combination for multi-channel noise robust ASR, pp.2015-2022, 2015.