M. Cooke, P. Green, L. Josifovski, and A. Vizinho, Robust automatic speech recognition with missing and unreliable acoustic data, Speech Communication, vol.34, issue.3, 2001.
DOI : 10.1016/S0167-6393(00)00034-0
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.130.6933

J. Barker, P. Green, and M. Cooke, Linking auditory scene analysis and robust ASR by missing data techniques, Proc. WISP, 2001.

A. Morris, J. Barker, and H. Bourlard, From missing data to maybe useful data: soft data modelling for noise robust ASR, Proc. WISP-01, 2001.

A. Morris, Data utility modelling for mismatch reduction, Proc. CRAC (workshop on Consistent & Reliable Acoustic Cues for sound analysis), 2001.

J. Barker, L. Josifovski, M. Cooke, and P. Green, Soft decisions in missing data techniques for robust automatic speech recognition, Proc. ICSLP, 2000.

M. L. Seltzer, Automatic detection of corrupt spectrographic features for robust speech recognition, 2000.

W. Kim, R. M. Stern, and H. Ko, Environment-independent mask estimation for missing-feature reconstruction, Proc. INTERSPEECH, 2005.

S. Demange, C. Cerisara, and J. Haton, Mask Estimation for Missing Data Recognition using Background Noise Sniffing, 2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings, 2006.
DOI : 10.1109/ICASSP.2006.1660017
URL : https://hal.archives-ouvertes.fr/inria-00080562

D. Pearce and H. Hirsch, The aurora experimental framework for the performance evaluation of speech recognition systems under noisy conditions, Proc. ICSLP, 2000.