Speaker: Arthur Toth, LTI
Title: "Using Dynamic Bayesian Networks to Model Speech: Survey 
        and Preliminary Experiments"

This talk will cover some background information about a type of
graphical model called a Dynamic Bayesian Network, that is a
generalization of Hidden Markov Models.  I will describe some of the
useful algorithms for Dynamic Bayesian Networks, and some of the
attempts researchers have made to apply them to modeling speech.  Then,
I will describe a few preliminary experiments I have conducted and
the results.