score_sclite.sh
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#!/bin/bash
# Copyright Johns Hopkins University (Author: Daniel Povey) 2012. Apache 2.0.
# begin configuration section.
cmd=run.pl
stage=0
min_lmwt=5
max_lmwt=20
reverse=false
#end configuration section.
[ -f ./path.sh ] && . ./path.sh
. parse_options.sh || exit 1;
if [ $# -ne 3 ]; then
echo "Usage: local/score_sclite.sh [--cmd (run.pl|queue.pl...)] <data-dir> <lang-dir|graph-dir> <decode-dir>"
echo " Options:"
echo " --cmd (run.pl|queue.pl...) # specify how to run the sub-processes."
echo " --stage (0|1|2) # start scoring script from part-way through."
echo " --min_lmwt <int> # minumum LM-weight for lattice rescoring "
echo " --max_lmwt <int> # maximum LM-weight for lattice rescoring "
echo " --reverse (true/false) # score with time reversed features "
exit 1;
fi
data=$1
lang=$2 # Note: may be graph directory not lang directory, but has the necessary stuff copied.
dir=$3
model=$dir/../final.mdl # assume model one level up from decoding dir.
hubscr=$KALDI_ROOT/tools/sctk-2.4.0/bin/hubscr.pl
[ ! -f $hubscr ] && echo "Cannot find scoring program at $hubscr" && exit 1;
hubdir=`dirname $hubscr`
for f in $data/stm $data/glm $lang/words.txt $lang/phones/word_boundary.int \
$model $data/segments $data/reco2file_and_channel $dir/lat.1.gz; do
[ ! -f $f ] && echo "$0: expecting file $f to exist" && exit 1;
done
name=`basename $data`; # e.g. eval2000
mkdir -p $dir/scoring/log
if [ $stage -le 0 ]; then
if $reverse; then
$cmd LMWT=$min_lmwt:$max_lmwt $dir/scoring/log/get_ctm.LMWT.log \
mkdir -p $dir/score_LMWT/ '&&' \
lattice-1best --lm-scale=LMWT "ark:gunzip -c $dir/lat.*.gz|" ark:- \| \
lattice-reverse ark:- ark:- \| \
lattice-align-words --reorder=false $lang/phones/word_boundary.int $model ark:- ark:- \| \
nbest-to-ctm ark:- - \| \
utils/int2sym.pl -f 5 $lang/words.txt \| \
utils/convert_ctm.pl $data/segments $data/reco2file_and_channel \
'>' $dir/score_LMWT/$name.ctm || exit 1;
else
$cmd LMWT=$min_lmwt:$max_lmwt $dir/scoring/log/get_ctm.LMWT.log \
mkdir -p $dir/score_LMWT/ '&&' \
lattice-1best --lm-scale=LMWT "ark:gunzip -c $dir/lat.*.gz|" ark:- \| \
lattice-align-words $lang/phones/word_boundary.int $model ark:- ark:- \| \
nbest-to-ctm ark:- - \| \
utils/int2sym.pl -f 5 $lang/words.txt \| \
utils/convert_ctm.pl $data/segments $data/reco2file_and_channel \
'>' $dir/score_LMWT/$name.ctm || exit 1;
fi
fi
if [ $stage -le 1 ]; then
# Remove some stuff we don't want to score, from the ctm.
for x in $dir/score_*/$name.ctm; do
cp $x $dir/tmpf;
cat $dir/tmpf | grep -i -v -E '\[NOISE|LAUGHTER|VOCALIZED-NOISE\]' | \
grep -i -v -E '<UNK>' > $x;
# grep -i -v -E '<UNK>|%HESITATION' > $x; # hesitation is scored
done
fi
# Score the set...
if [ $stage -le 2 ]; then
$cmd LMWT=$min_lmwt:$max_lmwt $dir/scoring/log/score.LMWT.log \
cp $data/stm $dir/score_LMWT/ '&&' \
$hubscr -p $hubdir -V -l english -h hub5 -g $data/glm -r $dir/score_LMWT/stm $dir/score_LMWT/${name}.ctm || exit 1;
fi
# For eval2000 score the subsets
if [ "$name" == "eval2000" ]; then
# Score only the, swbd part...
if [ $stage -le 3 ]; then
$cmd LMWT=$min_lmwt:$max_lmwt $dir/scoring/log/score.swbd.LMWT.log \
grep -v '^en_' $data/stm '>' $dir/score_LMWT/stm.swbd '&&' \
grep -v '^en_' $dir/score_LMWT/${name}.ctm '>' $dir/score_LMWT/${name}.ctm.swbd '&&' \
$hubscr -p $hubdir -V -l english -h hub5 -g $data/glm -r $dir/score_LMWT/stm.swbd $dir/score_LMWT/${name}.ctm.swbd || exit 1;
fi
# Score only the, callhome part...
if [ $stage -le 3 ]; then
$cmd LMWT=$min_lmwt:$max_lmwt $dir/scoring/log/score.callhm.LMWT.log \
grep -v '^sw_' $data/stm '>' $dir/score_LMWT/stm.callhm '&&' \
grep -v '^sw_' $dir/score_LMWT/${name}.ctm '>' $dir/score_LMWT/${name}.ctm.callhm '&&' \
$hubscr -p $hubdir -V -l english -h hub5 -g $data/glm -r $dir/score_LMWT/stm.callhm $dir/score_LMWT/${name}.ctm.callhm || exit 1;
fi
fi
exit 0