Speech Recognition with Dynamic Bayesian Networks

@inproceedings{Zweig1998SpeechRW,
  title={Speech Recognition with Dynamic Bayesian Networks},
  author={Geoffrey Zweig and Stuart J. Russell},
  booktitle={AAAI/IAAI},
  year={1998}
}
Dynamic Bayesian networks (DBNs) are a powerful and flexible methodology for representing and computing with probabilistic models of stochastic processes. In the past decade, there has been increasing interest in applying them to practical problems, and this thesis shows that they can be used effectively in the field of automatic speech recognition. A principle characteristic of dynamic Bayesian networks is that they can model an arbitrary set of variables as they evolve over time. Moreover… CONTINUE READING

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