S. Young, The HTK Book Version 3, 2005.

H. G. Hirsch and D. Pearce, The AURORA Experimental Framework for the Performance Evaluations of Speech Recognition Systems under Noisy Conditions, Proc. ISCA ITRW ASR, 2000.

H. Hermansky, Perceptual linear predictive (PLP) analysis of speech, The Journal of the Acoustical Society of America, vol.87, issue.4, pp.1738-1752, 1990.
DOI : 10.1121/1.399423

H. Hermansky and N. Morgan, RASTA processing of speech, IEEE Transactions on Speech and Audio Processing, vol.2, issue.4, pp.578-589, 1994.
DOI : 10.1109/89.326616

S. B. Davis and P. Mermelstein, Comparison of parametric representations for monosyllabic word recognition in continuously spoken sentences, IEEE Transactions on Acoustics, Speech, and Signal Processing, vol.28, issue.4, pp.357-366, 1980.
DOI : 10.1109/TASSP.1980.1163420

S. Furui, Cepstral analysis technique for automatic speaker verification, IEEE Transactions on Acoustics, Speech, and Signal Processing, vol.29, issue.2, pp.254-272, 1981.
DOI : 10.1109/TASSP.1981.1163530

P. Jain and H. Hermansky, Improved mean and variance normalization for robust speech recognition, IEEE Int. Conf. Acoust., Speech and Signal Processing, 2001.

G. D. Cook, D. J. Kershaw, J. D. Christie, C. W. Seymour, and S. R. Waterhouse, Transcription of broadcast television and radio news: the 1996 ABBOT system, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing, 1997.
DOI : 10.1109/ICASSP.1997.596007

C. Chen, J. Bilmes, and K. Kirchhoff, Low-resource noise-robust feature post-processing on Aurora 2.0, Proc. Int. Conf. Spoken Lang. Process. (ICSLP), pp.2445-2448, 2002.

C. Chen, K. Filali, and J. Bilmes, Frontend post-processing and backend model enhancement on the Aurora 2.0/3.0 databases, Proc. Int. Conf. Spoken Lang. Process. (ICSLP), pp.241-244, 2002.

C. Chen and J. Bilmes, MVA processing of speech features Dept PLP and RASTA (and MFCC, and inversion) in MATLAB using melfcc.m and invmelfcc.m, Elect. Eng, 2003.

M. N. Stuttle and M. J. Gales, A Mixture of Gaussians Front End for Speech Recognition, pp.675-678, 2001.

J. Potamifis, N. Fakotakis, and G. Kokkinakis, Improving the robustness of noisy MFCC features using minimal recurrent neural networks, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium, pp.271-276, 2000.
DOI : 10.1109/IJCNN.2000.861469