Using the section labels , the HMM was trained using the HTK toolkit ( Young et al. , 2002 ) , which efficiently performs the forward-backward algorithm and BaumWelch estimation .
the htk book
Steve Young Gunnar Evermann Thomas Hain Dan Kershaw Gareth Moore Julian Odell Dave Ollason Dan Povey Valtcho Valtchev Phil Woodland
The output probabilities were modeled as four-dimensional Gaussians mixtures with diagonal covariance matrices . Using the section labels , the HMM was trained using the HTK toolkit ( Young et al. , 2002 ) , which efficiently performs the forward-backward algorithm and BaumWelch estimation . For testing , we performed a Viterbi ( maximum likelihood ) estimation of the label of each test sentence/vector ( also using the HTK toolkit ) .
Using the section labels , the HMM was trained using the HTK toolkit ( @@CITATION ) , which efficiently performs the forward-backward algorithm and BaumWelch estimation .