@misc{cogprints6037,
           month = {April},
           title = {A New Family of Extended Baum-Welch Update Rules },
          author = {Dr Dimitri Kanevsky and Dr Daniel Povey and Dr Bhuvana Ramabhadran and Dr Irina Rish and Dr Tara Sainath},
            year = {2008},
        keywords = {Extended Baum Welch, optimization, speech},
             url = {http://cogprints.org/6037/},
        abstract = {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.}
}

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