Automatic symbolic traffic scene analysis using belief networks
AAAI'94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 2)
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
LAZY propagation: a junction tree inference algorithm based on lazy evaluation
Artificial Intelligence
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
Dynamic bayesian networks: representation, inference and learning
Dynamic bayesian networks: representation, inference and learning
Prediction of Human Driving Behavior Using Dynamic Bayesian Networks
IEICE - Transactions on Information and Systems
Dynamic Bayesian networks for audio-visual speech recognition
EURASIP Journal on Applied Signal Processing
Combining Topic Information and Structure Information in a Dynamic Language Model
TSD '09 Proceedings of the 12th International Conference on Text, Speech and Dialogue
An adaptive circular (text) input for handheld devices
Proceedings of the 12th International Conference on Computer Systems and Technologies
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In this paper we describe a speech recognition system implemented with generalized dynamic Bayesian networks (DBNs). We discuss the design of the system and the features of the underlying toolkit we constructed that makes efficient processing of speech and language data with Bayesian networks possible. Features include: sparse representations of probability tables, a fast algorithm for inference with probability tables, lazy evaluation of probability tables, algorithms for calculations with tree-shaped distributions, the ability to change distributions on the fly, and a generalization of DBN model structure.