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egs/chime5/s5/local/prepare_dict.sh
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#!/bin/bash # Copyright (c) 2018, Johns Hopkins University (Jan "Yenda" Trmal<jtrmal@gmail.com>) # License: Apache 2.0 # Begin configuration section. # End configuration section . ./utils/parse_options.sh . ./path.sh set -e -o pipefail set -o nounset # Treat unset variables as an error # The parts of the output of this that will be needed are # [in data/local/dict/ ] # lexicon.txt # extra_questions.txt # nonsilence_phones.txt # optional_silence.txt # silence_phones.txt # check existing directories [ $# != 0 ] && echo "Usage: $0" && exit 1; dir=data/local/dict mkdir -p $dir echo "$0: Getting CMU dictionary" if [ ! -f $dir/cmudict.done ]; then [ -d $dir/cmudict ] && rm -rf $dir/cmudict svn co https://svn.code.sf.net/p/cmusphinx/code/trunk/cmudict $dir/cmudict touch $dir/cmudict.done fi # silence phones, one per line. for w in sil spn inaudible laughs noise; do echo $w; done > $dir/silence_phones.txt echo sil > $dir/optional_silence.txt # For this setup we're discarding stress. cat $dir/cmudict/cmudict-0.7b.symbols | \ perl -ne 's:[0-9]::g; s:\r::; print lc($_)' | \ sort -u > $dir/nonsilence_phones.txt # An extra question will be added by including the silence phones in one class. paste -d ' ' -s $dir/silence_phones.txt > $dir/extra_questions.txt grep -v ';;;' $dir/cmudict/cmudict-0.7b |\ uconv -f latin1 -t utf-8 -x Any-Lower |\ perl -ne 's:(\S+)\(\d+\) :$1 :; s: : :; print;' |\ perl -ne '@F = split " ",$_,2; $F[1] =~ s/[0-9]//g; print "$F[0] $F[1]";' \ > $dir/lexicon1_raw_nosil.txt || exit 1; # Add prons for laughter, noise, oov for w in `grep -v sil $dir/silence_phones.txt`; do echo "[$w] $w" done | cat - $dir/lexicon1_raw_nosil.txt > $dir/lexicon2_raw.txt || exit 1; # we keep all words from the cmudict in the lexicon # might reduce OOV rate on dev and eval cat $dir/lexicon2_raw.txt \ <( echo "mm m" echo "<unk> spn" echo "cuz k aa z" echo "cuz k ah z" echo "cuz k ao z" echo "mmm m"; \ echo "hmm hh m"; \ ) | sort -u | sed 's/[\t ]/\t/' > $dir/iv_lexicon.txt cat data/train*/text | \ awk '{for (n=2;n<=NF;n++){ count[$n]++; } } END { for(n in count) { print count[n], n; }}' | \ sort -nr > $dir/word_counts cat $dir/word_counts | awk '{print $2}' > $dir/word_list awk '{print $1}' $dir/iv_lexicon.txt | \ perl -e '($word_counts)=@ARGV; open(W, "<$word_counts")||die "opening word-counts $word_counts"; while(<STDIN>) { chop; $seen{$_}=1; } while(<W>) { ($c,$w) = split; if (!defined $seen{$w}) { print; } } ' $dir/word_counts > $dir/oov_counts.txt echo "*Highest-count OOVs (including fragments) are:" head -n 10 $dir/oov_counts.txt echo "*Highest-count OOVs (excluding fragments) are:" grep -v -E '^-|-$' $dir/oov_counts.txt | head -n 10 || true echo "*Training a G2P and generating missing pronunciations" mkdir -p $dir/g2p/ phonetisaurus-align --input=$dir/iv_lexicon.txt --ofile=$dir/g2p/aligned_lexicon.corpus ngram-count -order 4 -kn-modify-counts-at-end -ukndiscount\ -gt1min 0 -gt2min 0 -gt3min 0 -gt4min 0 \ -text $dir/g2p/aligned_lexicon.corpus -lm $dir/g2p/aligned_lexicon.arpa phonetisaurus-arpa2wfst --lm=$dir/g2p/aligned_lexicon.arpa --ofile=$dir/g2p/g2p.fst awk '{print $2}' $dir/oov_counts.txt > $dir/oov_words.txt phonetisaurus-apply --nbest 2 --model $dir/g2p/g2p.fst --thresh 5 --accumulate \ --word_list $dir/oov_words.txt > $dir/oov_lexicon.txt ## The next section is again just for debug purposes ## to show words for which the G2P failed cat $dir/oov_lexicon.txt $dir/iv_lexicon.txt | sort -u > $dir/lexicon.txt rm -f $dir/lexiconp.txt 2>/dev/null; # can confuse later script if this exists. awk '{print $1}' $dir/lexicon.txt | \ perl -e '($word_counts)=@ARGV; open(W, "<$word_counts")||die "opening word-counts $word_counts"; while(<STDIN>) { chop; $seen{$_}=1; } while(<W>) { ($c,$w) = split; if (!defined $seen{$w}) { print; } } ' $dir/word_counts > $dir/oov_counts.g2p.txt echo "*Highest-count OOVs (including fragments) after G2P are:" head -n 10 $dir/oov_counts.g2p.txt utils/validate_dict_dir.pl $dir exit 0; |