#!/bin/sh
# Last modified $Date: 2002/02/18 23:31:25 $

GMTKVITERBI=../../tksrc/gmtkViterbi

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# This first command will run a viterbi decoding using the previously
# and highly trained Gaussian parameters. By highly trained, we mean
# that they were trained on a large collection of the Aurora database,
# much larger than the set of data contained within 'small.pfile'.
$GMTKVITERBI -of1 DATA/small.pfile -nf1 42 -ni1 0 -inputMasterFile PARAMS/nonTrainable.master -inputTrainableFile PARAMS/highly_trained.gmp -str PARAMS/aurora_decode.str -beam 1000 -printWordVar word -varMap word_map -transitionLabel wordTransition
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# This second command will run a viterbi decoding using the parameters
# that are trained in step 2 of the README file. These parameters are
# trained starting from initial parameters, and trained only on
# 'small.pfile'
# $GMTKVITERBI -of1 DATA/small.pfile -nf1 42 -ni1 0 -inputMasterFile PARAMS/nonTrainable.master -inputTrainableFile PARAMS/learned_parms.gmp -str PARAMS/aurora_decode.str -beam 1000 -printWordVar word -varMap word_map -transitionLabel wordTransition
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# Uncomment to run with the modified decoding structure, so that
# no more than 7 words will be decoded. Note that this will use the
# FOR_CHEATERS directory. You're goal is to design a structure to
# do this yourself.
# $GMTKVITERBI -of1 DATA/small.pfile -nf1 42 -ni1 0 -inputMasterFile FOR_CHEATERS/nonTrainable.master -inputTrainableFile FOR_CHEATERS/learned_parms.gmp -str FOR_CHEATERS/aurora_decode.str -beam 1000 -printWordVar word -varMap word_map -transitionLabel wordTransition

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