Publications

Found 58 results
Author Title Type [ Year(Asc)]
Filters: Author is Hervé Bourlard  [Clear All Filters]
2005
Morgan, N., Zhu Q., Stolcke A., Sönmez K., Sivadas S., Shinozaki T., et al. (2005).  Pushing the Envelope - Aside. IEEE Signal Processing Magazine. 22(5), 81-88.
2002
Ajmera, J., Bourlard H., Lapidot I., & McCowan I. (2002).  Unknown-Multiple Speaker Clustering Using HMM. Proceedings of the 7th International Conference on Spoken Language Processing (ICSLP 2002).
1997
Hennebert, L.., Ris C.., Bourlard H., Renals S., & Morgan N. (1997).  Estimation of Global Posteriors and Forward-Backward Training of Hybrid HMM/ANN Systems. Proceedings of the Fifth European Conference on Speech Communication and Technology (Eurospeech '97). 1951-1954.
1996
Bourlard, H., & Morgan N. (1996).  Hybrid Connnectionist Models for Continuous Speech Recognition. 259-283.
Konig, Y., Bourlard H., & Morgan N. (1996).  REMAP - Experiments with Speech Recognition. Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP-96).
Bilmes, J. A., Morgan N., Wu S-L., & Bourlard H. (1996).  Stochastic Perceptual Speech Models with Durational Dependence. Proceedings of the Fourth International Conference on Spoken Language Processing (CSLP-96).
Bourlard, H., Hermansky H., & Morgan N. (1996).  Towards Increasing Speech Recognition Error Rates. Speech Communication. 205-231.
Bourlard, H., Dupont S., Hermansky H., & Morgan N. (1996).  Towards Subband-Based Speech Recognition. Proceedings of the VIII European Signal Processing Conference (EUSIPCO '96). 1579-1582.
Bourlard, H., Konig Y., & Morgan N. (1996).  A Training Algorithm for Statistical Sequence Recognition with Applications to Transition-Based Speech Recognition. IEEE Signal Processing Letters. 203-205.
1995
Morgan, N., Wu S-L., & Bourlard H. (1995).  Digit Recognition with Stochastic Perceptual Models. Proceedings of the Fourth European Conference on Speech Communication and Technology (Eurospeech '95).
Morgan, N., & Bourlard H. (1995).  An Introduction to Hybrid HMM/Connectionist Continuous Speech Recognition. IEEE Signal Processing Magazine. 25-42.
Morgan, N., & Bourlard H. (1995).  Neural Networks for Statistical Recognition of Continuous Speech. Proceedings of IEEE. 83(5), 742-770.
Konig, Y., Bourlard H., & Morgan N. (1995).  Remap Modeling for Connectionist Speech Recognition. Proceedings of the 15th Annual Speech Research Symposium.
Bourlard, H., Konig Y., & Morgan N. (1995).  REMAP: Recursive Estimation and Maximization of A Posteriori Probabilities in Connectionist Speech Recognition. Proceedings of the Fourth European Conference on Speech Communication and Technology (Eurospeech '95).
Konig, Y., Bourlard H., & Morgan N. (1995).  REMAP: Recursive Estimation and Maximization of A Posteriori Probabilities - Application to Transition-Based Connectionist Speech Recognition. Proceedings of the Advances in Neural Information Processing Systems 8 Conference (NIPS 8). 388-394.
Konig, Y., Bourlard H., & Morgan N. (1995).  REMAP: Recursive Estimation and Maximization of A Posteriori Probabilities - Application to Transition-Based Connectionist Speech Recognition. Proceedings of the 9th Annual Conference on Neural Information Processing Systems (NIPS 1995).
Morgan, N., Wu S-L., & Bourlard H. (1995).  SPAM: Experiments with Digit Recognition. Proceedings of the 15th Annual Speech Research Symposium.
Morgan, N., Bourlard H., Greenberg S., Hermansky H., & Wu S-L. (1995).  Stochastic Perceptual Models of Speech. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 95).
Morgan, N., Konig Y., Wu S-L., & Bourlard H. (1995).  Transition-Based Statistical Training for ASR. IEEE Snowbird Workshop '95.
1994
Mirghafori, N., Morgan N., & Bourlard H. (1994).  Parallel Training of MLP Probability Estimators for Speech Recognition: A Gender-Based Approach. Proceedings of the IEEE Workshop on Neural Networks for Signal Processing. 289-298.
Mirghafori, N., Morgan N., & Bourlard H. (1994).  Parallel Training of MLP Probability Estimators for Speech Recognition: A Gender-Based Approach. Proceedings of the IEEE Neural Networks for Signal Processing Workshop (NNSP 94).

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