"6037","A New Family of Extended Baum-Welch Update Rules ","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.","http://cogprints.org/6037/","Kanevsky, Dr Dimitri and Povey, Dr Daniel and Ramabhadran, Dr Bhuvana and Rish, Dr Irina and Sainath, Dr Tara","UNSPECIFIED"," Kanevsky, Dr Dimitri and Povey, Dr Daniel and Ramabhadran, Dr Bhuvana and Rish, Dr Irina and Sainath, Dr Tara (2008) A New Family of Extended Baum-Welch Update Rules. [Preprint] ","kanevsky@us.ibm.com,dpovey@us.ibm.com,bhuvana@us.ibm.com,rish@us.ibm.com,tsainath@MIT.EDU","2008-04-27"