get_ctm.sh
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#!/bin/bash
# Copyright Johns Hopkins University (Author: Daniel Povey) 2012. Apache 2.0.
# This script produces CTM files from a decoding directory that has lattices
# present.
# begin configuration section.
cmd=run.pl
stage=0
use_segments=true # if we have a segments file, use it to convert
# the segments to be relative to the original files.
#end configuration section.
[ -f ./path.sh ] && . ./path.sh
. parse_options.sh || exit 1;
if [ $# -ne 3 ]; then
echo "Usage: local/get_ctm.sh [options] <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 " --use-segments (true|false) # use segments and reco2file_and_channel files "
echo " # to produce a ctm relative to the original audio"
echo " # files, with channel information (typically needed"
echo " # for NIST scoring)."
echo "e.g.:"
echo "local/get_ctm.sh data/train data/lang exp/tri4a/decode/"
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.
for f in $lang/words.txt $lang/phones/word_boundary.int \
$model $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 [ -f $data/segments ]; then
f=$data/reco2file_and_channel
[ ! -f $f ] && echo "$0: expecting file $f to exist" && exit 1;
filter_cmd="utils/convert_ctm.pl $data/segments $data/reco2file_and_channel"
else
filter_cmd=cat
fi
$cmd LMWT=5:20 $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 \| \
$filter_cmd '>' $dir/score_LMWT/$name.ctm || exit 1;
fi