Probabilistic independence networks for hidden Markov probability models
Neural Computation
Learning in graphical models
Probabilistic Networks and Expert Systems
Probabilistic Networks and Expert Systems
Learning Belief Networks in the Presence of Missing Values and Hidden Variables
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
Speech recognition with dynamic bayesian networks
Speech recognition with dynamic bayesian networks
Natural statistical models for automatic speech recognition
Natural statistical models for automatic speech recognition
IEICE - Transactions on Information and Systems
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We present a new approach to automatic speech recognition (ASR) based onthe formalism of Bayesiann etworks. We put the foundations of new ASR systems for which the robustness relies on the fidelity in speech modeling and on the information contained in training data.