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@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.} }