TY  - GEN
ID  - cogprints6037
UR  - http://cogprints.org/6037/
A1  - Kanevsky, Dr Dimitri
A1  - Povey, Dr Daniel
A1  - Ramabhadran, Dr Bhuvana
A1  - Rish, Dr Irina
A1  - Sainath, Dr Tara
TI  - A New Family of Extended Baum-Welch Update Rules 
Y1  - 2008/04/27/
N2  - 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.
AV  - public
KW  - Extended Baum Welch
KW  -  optimization
KW  -  speech
ER  -

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