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ICASSP
2009
IEEE

A generalized family of parameter estimation techniques

10 years 4 months ago
A generalized family of parameter estimation techniques
The Extended Baum-Welch (EBW) Transformations is one of a variety of techniques to estimate parameters of Gaussian mixture models. In this paper, we provide a theoretical framework for general parameter estimation and show the relationship between these different approaches. Namely, we introduce a general family of model parameter updates that generalizes a Baum-Welch (BW) recursive process to an arbitrary objective function of Gaussian Mixture Models, and show how other commonly used parameter estimation techniques belong to this family of model update rules. We present a linearlized formulation that allows for the construction of an even more general family of update rules with any specified value for the gradient that measures how much an initial model is moved to an estimated updated model.
Dimitri Kanevsky, Tara N. Sainath, Bhuvana Ramabha
Added 21 May 2010
Updated 21 May 2010
Type Conference
Year 2009
Where ICASSP
Authors Dimitri Kanevsky, Tara N. Sainath, Bhuvana Ramabhadran
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