How do humans process and recognize speech?, IEEE Transactions on Speech and Audio Processing, vol.2, issue.4, pp.567-576, 1994. ,
DOI : 10.1109/89.326615
Data-driven extensions to hmm statistical dependencies, International Conference on Spoken Language Processing, 1998. ,
Buried markov models for speech Noise ,
Natural Statistical Models for Automatic Speech Recognition, International Compute Science Institute, 1999. ,
A new ASR approach based on independent processing and recombination of partial frequency bands, International Conference on Spoken Language Processing (ICSLP), 1996. ,
A new approach for multi-band speech recognition based on probabilistic graphical models, International Conference on Spoken Language Processing (ICSLP), 2000. ,
URL : https://hal.archives-ouvertes.fr/inria-00099058
Continuous multi-band speech recognition using Bayesian networks, IEEE Workshop on Automatic Speech Recognition and Understanding, 2001. ASRU '01., 2001. ,
DOI : 10.1109/ASRU.2001.1034584
URL : https://hal.archives-ouvertes.fr/inria-00107521
Applications of a general propagation algorithm for probabilistic expert systems, Statistics and Computing, vol.2, issue.1, pp.25-36, 1992. ,
DOI : 10.1007/BF01890546
Structural Learning of Dynamic Bayesian Networks in Speech Recog- nition, In EUROSPEECH, 2001. ,
Speech and hearing in communication, 1953. ,
Analyse statistique à deux dimensions pour la modélisation segmentale du signal de parole: Application à la reconnaissance, 2000. ,
Bayesian updating in recursive graphical models by local computations, Computational Statistics and Data Analysis, issue.4, pp.269-282, 1990. ,
Probabilistic reasoning in intelligent systems: Networks of plausible inference, 1988. ,
Speech recognition with dynamic bayesian networks, Proceedings Fifteenth National Conference on Artificial Intelligence, 1998. ,
Speech Recognition with Dynamic Bayesian Networks, 1998. ,