R. Gemello, D. Albesano, and F. Mana, Multi-source neural networks for speech recognition, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339), 1999.
DOI : 10.1109/IJCNN.1999.835942

R. Gemello, F. Mana, D. Albesano, and R. Mori, Multiple resolution analysis for robust automatic speech recognition, Computer Speech & Language, vol.20, issue.1
DOI : 10.1016/j.csl.2004.06.001
URL : https://hal.archives-ouvertes.fr/hal-01320119

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

M. Kleinschmidt and D. Gelbart, Improving word accuracy with Gabor feature extraction, Proc. International Conference on Spoken Language Processing, pp.25-28, 2002.

H. Misra, H. Bourlard, and V. Tyagi, New entropy based combination rules in HMM/ANN multistream ASR, Proc. IEEE Int. Conf. on Acoustics, Speech and Signal Processing, pp.741-744, 2003.

M. K. Omar and M. Hasegawa-johnson, Maximum mutual information based acousticfeatures representation of phonological features for speech recognition, Proc. IEEE Int. Conf. on Acoustics, Speech and Signal Processing, pp.81-84, 2002.

M. K. Omar, K. Chen, M. Hasegawa-johnson, and Y. Bradman, An evaluation on using mutual information for selection of acoustic features representation of phonemes for speech recognition, Proc. International Conference on Spoken Language Processing, pp.2129-2132, 2002.

O. Siohan, B. Ramabhadran, and B. Kingsbury, Constructing ensembles of ASR systems using randomized decision trees, IEEE Intl. Conference on Acoustics, Speech and Signal Processing, pp.197-200, 2005.

D. L. Thomson and R. Chengalvarayan, Use of periodicity and jitter as speech recognition features, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181), pp.21-24, 1998.
DOI : 10.1109/ICASSP.1998.674357

S. V. Vaseghi, N. Harte, and B. Miller, Multi-resolution phonetic/segmental features and models for HMM-based speech recognition, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing, pp.1263-1266, 1997.
DOI : 10.1109/ICASSP.1997.596175

R. Zolnay, H. Schluter, and . Ney, Acoustic Feature Combination for Robust Speech Recognition, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005., pp.457-460
DOI : 10.1109/ICASSP.2005.1415149