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egs/mini_librispeech/s5/local/score.sh
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#!/bin/bash
# Copyright 2012 Johns Hopkins University (Author: Daniel Povey)
# 2014 Guoguo Chen
# Apache 2.0
[ -f ./path.sh ] && . ./path.sh
# begin configuration section.
cmd=run.pl
stage=0
decode_mbr=true
word_ins_penalty=0.0,0.5,1.0
min_lmwt=7
max_lmwt=17
iter=final
#end configuration section.
[ -f ./path.sh ] && . ./path.sh
. parse_options.sh || exit 1;
if [ $# -ne 3 ]; then
echo "Usage: local/score.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 " --decode_mbr (true/false) # maximum bayes risk decoding (confusion network)."
echo " --min_lmwt <int> # minumum LM-weight for lattice rescoring "
echo " --max_lmwt <int> # maximum LM-weight for lattice rescoring "
exit 1;
fi
data=$1
lang_or_graph=$2
dir=$3
symtab=$lang_or_graph/words.txt
for f in $symtab $dir/lat.1.gz $data/text; do
[ ! -f $f ] && echo "score.sh: no such file $f" && exit 1;
done
mkdir -p $dir/scoring/log
cat $data/text | sed 's:<NOISE>::g' | sed 's:<SPOKEN_NOISE>::g' > $dir/scoring/test_filt.txt
for wip in $(echo $word_ins_penalty | sed 's/,/ /g'); do
$cmd LMWT=$min_lmwt:$max_lmwt $dir/scoring/log/best_path.LMWT.$wip.log \
lattice-scale --inv-acoustic-scale=LMWT "ark:gunzip -c $dir/lat.*.gz|" ark:- \| \
lattice-add-penalty --word-ins-penalty=$wip ark:- ark:- \| \
lattice-best-path --word-symbol-table=$symtab \
ark:- ark,t:$dir/scoring/LMWT.$wip.tra || exit 1;
done
# Note: the double level of quoting for the sed command
for wip in $(echo $word_ins_penalty | sed 's/,/ /g'); do
$cmd LMWT=$min_lmwt:$max_lmwt $dir/scoring/log/score.LMWT.$wip.log \
cat $dir/scoring/LMWT.$wip.tra \| \
utils/int2sym.pl -f 2- $symtab \| sed 's:\<UNK\>::g' \| \
compute-wer --text --mode=present \
ark:$dir/scoring/test_filt.txt ark,p:- ">&" $dir/wer_LMWT_$wip || exit 1;
done
exit 0;
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