# Book chapters

- Dutoit, T., Couvreur, L., and Bourlard, H. (2009), “How does a dictation machine recognize speech?”,
*Applied Signal Processing--A MATLAB Approach*, pp. 104-148, Springer, MA, 2009 . - Weifeng Li, K. Kumatani, J. John, M. Magimai.-Doss, and H. Bourlard, "A Neural Network based Regression Approach for Recognizing Simultaneous Speech," in
*Machine Learning for Multimodal Interaction*, A. Popescu-Belis and R. Stiefelhagen (Eds.), Springer Berlin, 2008. - Stricker, C., Wagen, J.F., Aradilla, G., Bourlard, H., Hermansky, H., Pinto, J., Henri, P., and Théraulaz, J. (2009), “Intelligent mutli-modal interfaces for mobile applications in hostile environments,” in
*Human Machine Interaction: Research Results of the MMI Program*, Springer-Verlag, 2009. - Bengio, D. and Bourlard, H., (2005), “Multi-Channel Sequence Processing,” Springer Lecture Notes in Computer Sciences (Springer LNAI 3635, 2005), invited talk, Intl. Workshop on Deterministic and Statistical Methods in Machine Learning, Sheffield, September 7-10, 2004.
- Magimai-Doss, M. and Bourlard, H. (2005), “On the Adequacy of Baseform Pronunciations and Pronunciation Variants,”
*Machine Learning for Multimodal Interfaces (First International Workshop, MLMI’04)*(Martigny, June 2004), Lecture Notes in Computer Science, Springer, Vol. LNCS 3361, pp. 209-222. - McCowan, I. , Gatica-Perez, D., Bengio, S., Moore, D., and Bourlard, H. (2004), “Towards Computer Understanding of Human Interactions”,
*Machine Learning for Multimodal Interfaces (First International Workshop, MLMI’04)*(Martigny, June 2004), Lecture Notes in Computer Science, Springer, Vol. LNCS 3361, pp. 56-75. - Bourlard, H., Bengio, S., and Weber, K. (2004), “Towards Robust and Adaptive Speech Recognition Models,” in
*Mathematical Foundations of Speech Processing and Recognition*, M. Johnson, S.P. Khudanpur, M. Ostendorf, and R. Rosenfled (Eds.),*The IMA Volumes in Mathematics and its Applications,*Springer, pp. 169-190. - Morgan, N., Bourlard, H., and Hermansky, H. (2004), “Automatic Speech Recognition: An Auditory Perspective,” in
*Speech Processing in the Auditory System*, S. Greenberg, W. Ainsworth, A. Popper and R. Fay (Eds.), Springer Verlag, New York, pp. 309-338. - McCowan, I., Gatica-Perez, D., Bengio, S., Moore, D., and Bourlard, H. (2003), “Towards Computer Understanding of Human Interactions”,
*Springer Lecture Notes in Computer Science*on “Ambient Intelligence” (Proceedings of European Symposium on Ambient Intelligence, Eindhoven, invited talk, Nov.2-4, 2003), ISSN 0302-9743, Vol. 2875/2003, ISBN: 3-540-20418-0, pp. 235-251. - Beaufays, F., Bourlard, H., Franco H., Morgan, N. (2002), “Speech Recognition Technology,” in
*The Handbook of Brain Theory and Neural Networks*, M. A. Arbib (Ed.), Bradford Books, The MIT Press, pp. 1076-1080. - Bourlard, H, and Bengio, S. (2002), “Hidden Markov Models,” in
*The Handbook of Brain Theory and Neural Networks*, M. A. Arbib (Ed.), Bradford Books, The MIT Press, pp. 528-533. - Bourlard, H., and Morgan, N. (1998), “Hybrid HMM/ANN Systems for Speech Recognition: Overview and New Research Directions,” in
*Adaptive Processing of Sequences and Data Structures*, C.L. Giles and M. Gori (Eds.), Lecture Notes in Artificial Intelligence (1387), Springer Verlag (ISBN 3-540-64341-9), pp. 389-417. - Bourlard, H. and Morgan, N. (1997), “Connectionist Techniques,” in
*Survey of the State of the Art in Human Language Technology*, R. Cole, et al. (Eds.), Cambridge University Press, pp. 356-361. - Konig, Y., Bourlard, H., and Morgan, N. (1995), “REMAP: Recursive Estimation and Maximization of A Posteriori Probabilities---Application to Transition-Based Connectionist Speech Recognition,” in
*Advances in Neural Information Processing Systems 8*, D. S. Touretzky, M. C. Mozer, and M. E. Hasselmo (Eds.), MIT Press, pp. 388-394. - Bourlard, H. and Morgan, N. (1995), “Hybrid Connectionist Models for Continuous Speech Recognition,” in
*Automatic Speech and Speaker Recognition*, C. H. Lee, K. K.Paliwal, and F. K. Soong (Eds.), Kluwer Academic Publishers, pp. 259-283. - Morgan, N. and Bourlard, H. (1995), “Speech Recognition and Neural Networks: Feature Extraction,” The Handbook of Brain Theory and Neural Networks, M. A. Arbib (Ed.), Bradford Books, MIT Press, pp. 910-913.
- Bourlard, H. and Morgan, N. (1995), “Speech Recognition and Neural Networks: Pattern Matching,”
*The Handbook of Brain Theory and Neural Networks*, M. A. Arbib (Ed.), Bradford Books, pp. 913-918, The MIT Press. - Bourlard, H. (1994), “Wernicke: A Neural Network Based, Speaker Independent, Large Vocabulary, Continuous Speech Recognition System,”
*Advanced Speech Applications --- European Research on Speech Technology*}, K. Varghese, S. Pfleger, and J.-P. Lefèvre (Eds.), pp. 300-319, Springer Verlag. - Morgan, N., Bourlard, H., Renals, S., Cohen, M., and Franco. H. (1994), “Hybrid Neural Network/Hidden Markov Model Systems for Continuous Speech Recognition,” in
*Advances in Pattern Recognition Systems Using Neural Networks Technologies*, World Scientific. - Renals, S., Morgan, N., Bourlard, H., Franco, H., and Cohen, M. (1992), “Connectionist Optimization of Tied Mixture Hidden Markov Models,” in
*Advances in Neural Information Processing Systems 4*}, R. P. Lippmann, J. E. Moody, and D. S. Touretzky (Eds.), pp. 167-174, San Mateo, CA: Morgan Kaufmann. - Renals, S., Morgan, N., Bourlard, H. (1991), “Probability Estimation by Feed-Forward Networks in Continuous Speech Recognition,”
*Proc. of IEEE Workshop on Neural Networks for Signal Processing*(Princeton, NJ), B. H. Juang, S. Y. Kung, and C. A. Kann (Eds.), pp. 309-318. - Bourlard, H. and Morgan, N. (1991), “Connectionist Approaches to the Use of Markov Models for Speech Recognition,” in
*Advances in Neural Information Processing Systems 3*, R.P. Lippmann, J.E. Moody, and D.S. Touretzky (Eds.), pp. 213-219, San Mateo, CA: Morgan Kaufmann. - Bourlard, H. and Morgan, N. (1991), “Merging Multilayer Perceptrons and Hidden Markov Models: some Experiments in Continuous Speech Recognition,” in
*Neural Networks: Advances and Applications*, E. Gelenbe (Ed.), Elsevier Science Publishers N. V. (North-Holland), pp. 215-239. - Bourlard, H. (1990), “How Connectionist Models Could Improve Markov Models for Speech Recognition,” in
*Advanced Neural Computers*, R. Eckmiller (Ed.), pp. 247-254, North-Holland. - Bourlard, H. and Morgan, N. (1990), “A Continuous Speech Recognition System Embedding MLP into HMM,” in
*Advances in Neural Information Processing Systems 2*, D.S. Touretzky (Ed.), pp. 186-193, San Mateo, CA: Morgan Kaufmann. - Morgan, N. and Bourlard, H. (1990), “Generalization and Parameter Estimation in Feedforward Nets: Some Experiments,” in
*Advances in Neural Information Processing Systems 2*, D. S. Touretzky (Ed.), pp. 630- 637, San Mateo, CA: Morgan Kaufmann. - Bourlard, H., Morgan, N., and Wellekens, C.J. (1990), “Statistical Inference in Multilayer Perceptrons and Hidden Markov Models with Applications in Continuous Speech Recognition,” in
*Neurocomputing: Algorithms, Architectures and Applications*, F., Fogelman and J. Hérault (Eds.), NATO ASI Series, vol. F68, Springer-Verlag, pp. 217-226. - Bourlard, H. and Wellekens, C.J. (1989), “Links between Markov Models and Multilayer Perceptrons,”
*Advances in Neural Information Processing Systems 1*, D.S.Touretzky (Ed.), pp. 502-510, San Mateo, CA: Morgan Kauffmann. - Bourlard, H., Kamp, Y., Ney, H., and Wellekens, C.J. (1985), “Speaker Dependent Connected Speech Recognition via Dynamic Programming and Statistical Methods”, in
*Speech and Speaker Recognition*, M.R. Schroeder (Ed.), pp.115-148, Karger (Basel).