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egs/wsj/s5/utils/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(" ", $_)) . " ";' < $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(" " ,$_)) . " ";' |\ 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 "'$0': bad line \"$_\" "; $wpron = join(" ", @col[4..scalar(@col)-1]); ($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 $lexiconp "; open(WPC, "<$bigram_counts") || die "'$0': fail to open $bigram_counts "; open(SP, ">$silprob") || die "'$0': fail to open $silprob "; open(LPSP, ">$lexiconp_silprob") || die "'$0': fail to open $lexiconp_silprob "; # 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 "'$0': bad line \"$_\" "; $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 "'$0': bad line \"$_\" "; $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 "; } # 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 </s>_s $F_sl_EOS </s>_n $F_nl_EOS overall $sil_prob "; ' $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 |