A generalized family of parameter estimation techniques Export

@proceedings{citeulike:4638090, abstract = {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 techniques. 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 common parameter estimation techniques belong to this family of model update rules. Furthermore, we formulate the construction of an even more general family of update rules that has any specified value as a gradient steepness which belongs to the family of EBW gradient steepness, measuring how much an initial model is moved to an estimated updated model.}, author = {Kanevsky, Dimitri and Sainath, Tara N. and Ramabhadran, Bhuvana}, booktitle = {Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on}, citeulike-article-id = {4638090}, citeulike-linkout-0 = {http://dx.doi.org/10.1109/ICASSP.2009.4959936}, citeulike-linkout-1 = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4959936}, doi = {10.1109/ICASSP.2009.4959936}, journal = {Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on}, keywords = {asr, extended-baum-welch, icassp, sainath, tara}, pages = {1725--1728}, posted-at = {2009-05-31 10:06:28}, priority = {2}, title = {A generalized family of parameter estimation techniques}, url = {http://dx.doi.org/10.1109/ICASSP.2009.4959936}, year = {2009} }

TY - CONF ID - citeulike:4638090 L3 - citeulike-article-id:4638090 N2 - 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 techniques. 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 common parameter estimation techniques belong to this family of model update rules. Furthermore, we formulate the construction of an even more general family of update rules that has any specified value as a gradient steepness which belongs to the family of EBW gradient steepness, measuring how much an initial model is moved to an estimated updated model. JF - Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on EP - 1728 TI - A generalized family of parameter estimation techniques T2 - Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on SP - 1725 KW - asr KW - extended-baum-welch KW - icassp KW - sainath KW - tara AU - Kanevsky, Dimitri AU - Sainath, Tara AU - Ramabhadran, Bhuvana PY - 2009/// UR - http://dx.doi.org/10.1109/ICASSP.2009.4959936 ER -