dict_dir_add_pronprobs.sh
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#!/bin/bash
# Apache 2.0.
# Copyright 2014 Johns Hopkins University (author: Daniel Povey)
# 2014 Guoguo Chen
# 2015 Hainan Xu
# The thing that this script implements is described in the paper:
# "PRONUNCIATION AND SILENCE PROBABILITY MODELING FOR ASR"
# by Guoguo Chen et al, see
# http://www.danielpovey.com/files/2015_interspeech_silprob.pdf
. ./path.sh || exit 1;
# begin configuration
max_normalize=true
# end configuration
. utils/parse_options.sh || exit 1;
set -e
if [[ $# -ne 3 && $# -ne 5 ]]; then
echo "Usage: $0 [options] <input-dict-dir> <input-pron-counts> \\"
echo " [input-sil-counts] [input-bigram-counts] <output-dict-dir>"
echo " e.g.: $0 data/local/dict \\"
echo " exp/tri3/pron_counts_nowb.txt exp/tri3/sil_counts_nowb.txt \\"
echo " exp/tri3/pron_bigram_counts_nowb.txt data/local/dict_prons"
echo " e.g.: $0 data/local/dict \\"
echo " exp/tri3/pron_counts_nowb.txt data/local/dict_prons"
echo ""
echo "This script takes pronunciation counts, e.g. generated by aligning your training"
echo "data and getting the prons using steps/get_prons.sh, and creates a modified"
echo "dictionary directory with pronunciation probabilities. If the [input-sil-counts]"
echo "parameter is provided, it will also include silprobs in the generated lexicon."
echo "Options:"
echo " --max-normalize (true|false) # default true. If true,"
echo " # divide each pron-prob by the"
echo " # most likely pron-prob per word."
exit 1;
fi
if [ $# -eq 3 ]; then
srcdir=$1
pron_counts=$2
dir=$3
elif [ $# -eq 5 ]; then
srcdir=$1
pron_counts=$2
sil_counts=$3
bigram_counts=$4
dir=$5
fi
if [ ! -s $pron_counts ]; then
echo "$0: expected file $pron_counts to exist";
exit 1;
fi
mkdir -p $dir || exit 1;
utils/validate_dict_dir.pl $srcdir;
if [ -f $srcdir/lexicon.txt ]; then
src_lex=$srcdir/lexicon.txt
perl -ane 'print join(" ", split(" ", $_)) . "\n";' < $src_lex |\
sort -u > $dir/lexicon.txt
elif [ -f $srcdir/lexiconp.txt ]; then
echo "$0: removing the pron-probs from $srcdir/lexiconp.txt to create $dir/lexicon.txt"
# the Perl command below normalizes the spaces (avoid double space).
src_lex=$srcdir/lexiconp.txt
awk '{$2 = ""; print $0;}' <$srcdir/lexiconp.txt |\
perl -ane 'print join(" ", split(" " ,$_)) . "\n";' |\
sort -u > $dir/lexicon.txt || exit 1;
fi
# the cat and awk commands below are implementing add-one smoothing.
cat <(awk '{print 1, $0;}' <$dir/lexicon.txt) $pron_counts | \
awk '{ count = $1; $1 = ""; word_count[$2] += count; pron_count[$0] += count; pron2word[$0] = $2; }
END{ for (p in pron_count) { word = pron2word[p]; num = pron_count[p]; den = word_count[word];
print num / den, p } } ' | \
awk '{ word = $2; $2 = $1; $1 = word; print; }' | grep -v '^<eps>' |\
sort -k1,1 -k2g,2 -k3 > $dir/lexiconp.txt
n_old=$(wc -l <$dir/lexicon.txt)
n_new=$(wc -l <$dir/lexiconp.txt)
if [ "$n_old" != "$n_new" ]; then
echo "$0: number of lines differs from $dir/lexicon.txt $n_old vs $dir/lexiconp.txt $n_new"
echo "Probably something went wrong (e.g. input prons were generated from a different lexicon"
echo "than $srcdir, or you used pron_counts.txt when you should have used pron_counts_nowb.txt"
echo "or something else. Make sure the prons in $src_lex $pron_counts look"
echo "the same."
exit 1;
fi
if $max_normalize; then
echo "$0: normalizing pronprobs so maximum is 1 for each word."
cat $dir/lexiconp.txt | awk '{if ($2 > max[$1]) { max[$1] = $2; }} END{for (w in max) { print w, max[w]; }}' > $dir/maxp.txt
awk -v maxf=$dir/maxp.txt 'BEGIN{ while (getline <maxf) { max[$1] = $2; }} { $2 = $2 / max[$1]; print }' <$dir/lexiconp.txt > $dir/lexicon_tmp.txt || exit 1;
if ! [ $(wc -l <$dir/lexicon_tmp.txt) -eq $(wc -l <$dir/lexiconp.txt) ]; then
echo "$0: error max-normalizing pron-probs"
exit 1;
fi
mv $dir/lexicon_tmp.txt $dir/lexiconp.txt
rm $dir/maxp.txt
fi
# Create $dir/lexiconp_silprob.txt and $dir/silprob.txt if silence counts file
# exists. The format of $dir/lexiconp_silprob.txt is:
# word pron-prob P(s_r | w) F(s_l | w) F(n_l | w) pron
# where: P(s_r | w) is the probability of silence to the right of the word
# F(s_l | w) is a factor which is greater than one if silence to the
# left of the word is more than averagely probable.
# F(n_l | w) is a factor which is greater than one if nonsilence to the
# left of the word is more than averagely probable.
if [ -n "$sil_counts" ]; then
if [ ! -s "$sil_counts" ]; then
echo "$0: expected file $sil_counts to exist and not empty" && exit 1;
fi
cat $sil_counts | perl -e '
# Load silence counts
%sil_wpron = (); %nonsil_wpron = (); %wpron_sil = (); %wpron_nonsil = ();
$sil_count = 0; $nonsil_count = 0;
while (<STDIN>) {
chomp; @col = split; @col >= 5 || die "'$0': bad line \"$_\"\n";
$wpron = join(" ", @col[4..scalar(@col)-1]);
($sil_wpron{$wpron}, $nonsil_wpron{$wpron},
$wpron_sil{$wpron}, $wpron_nonsil{$wpron}) = @col[0..3];
$sil_count += $sil_wpron{$wpron}; $nonsil_count += $nonsil_wpron{$wpron};
}
# Open files.
($lexiconp, $bigram_counts, $lexiconp_silprob, $silprob) = @ARGV;
open(LP, "<$lexiconp") || die "'$0': fail to open $lexiconp\n";
open(WPC, "<$bigram_counts") || die "'$0': fail to open $bigram_counts\n";
open(SP, ">$silprob") || die "'$0': fail to open $silprob\n";
open(LPSP, ">$lexiconp_silprob") ||
die "'$0': fail to open $lexiconp_silprob\n";
# Computes P(s_r | w) in the paper.
$lambda2 = 2; # Smoothing term, \lambda_2 in the paper.
%P_w_sr = ();
%all_wprons = ();
$sil_prob = sprintf("%.2f", $sil_count / ($sil_count + $nonsil_count));
while (<LP>) {
chomp; @col = split; @col >= 3 || die "'$0': bad line \"$_\"\n";
$word = shift @col; $pron_prob = shift @col; $pron = join(" ", @col);
unshift(@col, $word); $wpron = join(" ", @col);
$wpron_sil_count = $wpron_sil{$wpron} + $sil_prob * $lambda2;
$wpron_nonsil_count = $wpron_nonsil{$wpron} + (1 - $sil_prob) * $lambda2;
$sil_after_prob = sprintf("%.2f",
$wpron_sil_count / ($wpron_sil_count + $wpron_nonsil_count));
if ($sil_after_prob == "0.00") { $sil_after_prob = "0.01"; }
if ($sil_after_prob == "1.00") { $sil_after_prob = "0.99"; }
$P_w_sr{$wpron} = $sil_after_prob;
$all_wprons{$wpron} = $pron_prob;
}
# Reads C(v ? w) in the paper.
%wpron_pair_count = ();
while (<WPC>) {
chomp; @col = split("\t"); @col == 3 || die "'$0': bad line \"$_\"\n";
$count = shift @col; $wpron1 = shift @col; $wpron2 = shift @col;
$key = "${wpron1}\t${wpron2}";
$wpron_pair_count{$key} = $count;
}
# Computes \bar{C}(s w) and \bar{C}(n w) in the paper.
%bar_C_s_w = ();
%bar_C_n_w = ();
foreach my $key (keys %wpron_pair_count) {
$count = $wpron_pair_count{$key};
($wpron1, $wpron2) = split("\t", $key);
$bar_C_s_w{$wpron2} += $count * $P_w_sr{$wpron1};
$bar_C_n_w{$wpron2} += $count * (1 - $P_w_sr{$wpron1});
}
# Computes F(s_l | w) and F(n_l | w) in the paper.
$lambda3 = 2; # Smoothing term, \lambda_3 in the paper.
foreach my $wpron (keys %all_wprons) {
@col = split(" ", $wpron);
$word = shift @col;
$pron = join(" ", @col);
$pron_prob = $all_wprons{$wpron};
$F_sl_w = ($sil_wpron{$wpron} + $lambda3) / ($bar_C_s_w{$wpron} + $lambda3);
$F_nl_w = ($nonsil_wpron{$wpron} + $lambda3) / ($bar_C_n_w{$wpron} + $lambda3);
$F_sl_w = sprintf("%.2f", $F_sl_w);
$F_nl_w = sprintf("%.2f", $F_nl_w);
if ($F_sl_w == "0.00") { $F_sl_w = "0.01"; }
if ($F_nl_w == "0.00") { $F_nl_w = "0.01"; }
print LPSP "$word $pron_prob $P_w_sr{$wpron} $F_sl_w $F_nl_w $pron\n";
}
# Create silprob.txt
$BOS_sil_count = $wpron_sil{"<s>"} + $sil_prob * $lambda2;
$BOS_nonsil_count = $wpron_nonsil{"<s>"} + (1 - $sil_prob) * $lambda2;
$P_BOS_sr = sprintf("%.2f", $BOS_sil_count / ($BOS_sil_count + $BOS_nonsil_count));
$F_sl_EOS = ($sil_wpron{"</s>"} + $lambda3) / ($bar_C_s_w{"</s>"} + $lambda3);
$F_nl_EOS = ($nonsil_wpron{"</s>"} + $lambda3) / ($bar_C_n_w{"</s>"} + $lambda3);
if ($P_BOS_sr == "1.00") { $P_BOS_sr = "0.99"; }
if ($P_BOS_sr == "0.00") { $P_BOS_sr = "0.01"; }
if ($F_sl_EOS == "0.00") { $F_sl_EOS = "0.01"; }
if ($F_nl_EOS == "0.00") { $F_nl_EOS = "0.01"; }
print SP "<s> $P_BOS_sr\n</s>_s $F_sl_EOS\n</s>_n $F_nl_EOS\noverall $sil_prob\n";
' $dir/lexiconp.txt $bigram_counts $dir/lexiconp_silprob_unsorted.txt $dir/silprob.txt
sort -k1,1 -k2g,2 -k6 $dir/lexiconp_silprob_unsorted.txt > $dir/lexiconp_silprob.txt
fi
# now regenerate lexicon.txt from lexiconp.txt, to make sure the lines are
# in the same order.
cat $dir/lexiconp.txt | awk '{$2 = ""; print;}' | sed 's/ / /g' >$dir/lexicon.txt
# add mandatory files.
for f in silence_phones.txt nonsilence_phones.txt; do
if [ ! -f $srcdir/$f ]; then
echo "$0: expected $srcdir/$f to exist."
exit 1;
fi
cp $srcdir/$f $dir/ || exit 1;
done
# add optional files (at least, I think these are optional; would have to check the docs).
for f in optional_silence.txt extra_questions.txt; do
if [ -f $srcdir/$f ]; then
cp $srcdir/$f $dir || exit 1;
fi
done
echo "$0: produced dictionary directory with probabilities in $dir/"
echo "$0: validating $dir .."
sleep 1
utils/validate_dict_dir.pl $dir || exit 1;
echo "Some low-probability prons include: "
echo "# sort -k2,2 -n $dir/lexiconp.txt | head -n 8"
sort -k2,2 -n $dir/lexiconp.txt | head -n 8
exit 0