%A Dr Dimitri Kanevsky
%A Dr Daniel Povey
%A Dr Bhuvana Ramabhadran
%A Dr Irina Rish
%A Dr Tara Sainath
%T A New Family of Extended Baum-Welch Update Rules 
%X In this paper, we consider a generalization of the state-of-art
discriminative method for optimizing the conditional likelihood in
Hidden Markov Models (HMMs), called the Extended Baum-Welch (EBW)
algorithm, that has had significant impact on the speech recognition
community. We propose a generalized form of EBW update rules that
can be associated with a weighted sum of updated and initial models,
and  demonstrate that using novel update rules can significantly
speed up parameter estimation for Gaussian mixtures.
%D 2008
%K Extended Baum Welch, optimization, speech
%L cogprints6037

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