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egs/wsj/s5/steps/cleanup/make_utterance_graph.sh
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#!/bin/bash # Copyright 2014 Guoguo Chen # Apache 2.0 # Begin configuration section. tscale=1.0 # transition scale. loopscale=0.1 # scale for self-loops. cleanup=true ngram_order=1 srilm_options="-wbdiscount" # By default, use Witten-Bell discounting in SRILM # End configuration section. set -e echo "$0 $@" [ -f ./path.sh ] && . ./path.sh . parse_options.sh || exit 1; if [ $# -ne 4 ]; then echo "This script builds one decoding graph for each utterance using the" echo "corresponding text in the given <text> file. If --ngram-order is 1," echo "then utils/make_unigram_grammar.pl will be used to build the unigram" echo "language model. Otherwise SRILM will be used instead. You are supposed" echo "to have SRILM installed if --ngram-order is larger than 1. The format" echo "of the given <text> file is same as the transcript text files in data" echo "directory." echo "" echo "Usage: $0 [options] <text> <lang-dir> <model-dir> <graph-dir>" echo " e.g.: $0 data/train_si284_split/text \\" echo " data/lang exp/tri2b/ exp/tri2b/graph_train_si284_split" echo "" echo "Options:" echo " --ngram-order # order of n-gram language model" echo " --srilm-options # options for ngram-count in SRILM tool" echo " --tscale # transition scale" echo " --loopscale # scale for self-loops" echo " --cleanup # if true, removes the intermediate files" exit 1; fi text=$1 lang=$2 model_dir=$3 graph_dir=$4 for f in $lang/L_disambig.fst $lang/words.txt $lang/oov.int \ $model_dir/final.mdl $model_dir/tree; do if [ ! -f $f ]; then echo "$0: expected $f to exist" exit 1; fi done mkdir -p $graph_dir/sub_graphs utils/lang/check_phones_compatible.sh $lang/phones.txt $model_dir/phones.txt # If --ngram-order is larger than 1, we will have to use SRILM if [ $ngram_order -gt 1 ]; then ngram_count=`which ngram-count` || true if [ -z $ngram_count ]; then if uname -a | grep 64 >/dev/null; then # some kind of 64 bit... sdir=$KALDI_ROOT/tools/srilm/bin/i686-m64 else sdir=$KALDI_ROOT/tools/srilm/bin/i686 fi if [ -f $sdir/ngram-count ]; then echo Using SRILM tools from $sdir export PATH=$PATH:$sdir else echo You appear to not have SRILM tools installed, either on your path, echo or installed in $sdir. See tools/install_srilm.sh for installation echo instructions. exit 1 fi fi fi # Maps OOV words to the oov symbol. oov=`cat $lang/oov.int` oov_txt=`cat $lang/oov.txt` N=`tree-info --print-args=false $model_dir/tree |\ grep "context-width" | awk '{print $NF}'` P=`tree-info --print-args=false $model_dir/tree |\ grep "central-position" | awk '{print $NF}'` # Loops over all utterances. if [ -f $graph_dir/sub_graphs/HCLG.fsts.scp ]; then rm $graph_dir/sub_graphs/HCLG.fsts.scp fi cat $text | utils/sym2int.pl --map-oov $oov -f 2- $lang/words.txt | \ utils/int2sym.pl -f 2- $lang/words.txt | \ while read line; do uttid=`echo $line | cut -d ' ' -f 1` words=`echo $line | cut -d ' ' -f 2-` echo "$0: processing utterance $uttid." wdir=$graph_dir/sub_graphs/$uttid mkdir -p $wdir # Compiles G.fst if [ $ngram_order -eq 1 ]; then echo $words > $wdir/text cat $wdir/text | utils/sym2int.pl --map-oov $oov -f 1- $lang/words.txt | \ utils/make_unigram_grammar.pl | fstcompile |\ fstarcsort --sort_type=ilabel > $wdir/G.fst || exit 1; else echo $words | \ perl -ane '@A = split; for ($n=0;$n<@A;$n++) { print "$A[$n] "; if(($n+1)%30000 == 0 || $n+1==@A) {print " ";} }' \ > $wdir/text ngram-count -text $wdir/text -order $ngram_order "$srilm_options" -lm - | \ arpa2fst --disambig-symbol=#0 \ --read-symbol-table=$lang/words.txt - $wdir/G.fst || exit 1; fi fstisstochastic $wdir/G.fst || echo "$0: $uttid/G.fst not stochastic." # Builds LG.fst fsttablecompose $lang/L_disambig.fst $wdir/G.fst |\ fstdeterminizestar --use-log=true | fstminimizeencoded |\ fstarcsort --sort_type=ilabel > $wdir/LG.fst || exit 1; fstisstochastic $wdir/LG.fst || echo "$0: $uttid/LG.fst not stochastic." # Builds CLG.fst clg=$wdir/CLG_${N}_${P}.fst fstcomposecontext --context-size=$N --central-position=$P \ --read-disambig-syms=$lang/phones/disambig.int \ --write-disambig-syms=$wdir/disambig_ilabels_${N}_${P}.int \ $wdir/ilabels_${N}_${P} < $wdir/LG.fst | fstdeterminize > $wdir/CLG.fst fstisstochastic $wdir/CLG.fst || echo "$0: $uttid/CLG.fst not stochastic." make-h-transducer --disambig-syms-out=$wdir/disambig_tid.int \ --transition-scale=$tscale $wdir/ilabels_${N}_${P} \ $model_dir/tree $model_dir/final.mdl > $wdir/Ha.fst # Builds HCLGa.fst fsttablecompose $wdir/Ha.fst $wdir/CLG.fst | \ fstdeterminizestar --use-log=true | \ fstrmsymbols $wdir/disambig_tid.int | fstrmepslocal | \ fstminimizeencoded > $wdir/HCLGa.fst fstisstochastic $wdir/HCLGa.fst ||\ echo "$0: $uttid/HCLGa.fst is not stochastic" add-self-loops --self-loop-scale=$loopscale --reorder=true \ $model_dir/final.mdl < $wdir/HCLGa.fst > $wdir/HCLG.fst if [ $tscale == 1.0 -a $loopscale == 1.0 ]; then fstisstochastic $wdir/HCLG.fst ||\ echo "$0: $uttid/HCLG.fst is not stochastic." fi echo "$uttid $wdir/HCLG.fst" >> $graph_dir/sub_graphs/HCLG.fsts.scp echo done # Copies files from lang directory. mkdir -p $graph_dir cp -r $lang/* $graph_dir am-info --print-args=false $model_dir/final.mdl |\ grep pdfs | awk '{print $NF}' > $graph_dir/num_pdfs # Creates the graph table. fstcopy scp:$graph_dir/sub_graphs/HCLG.fsts.scp \ "ark,scp:$graph_dir/HCLG.fsts,$graph_dir/HCLG.fsts.scp" if $cleanup; then rm -r $graph_dir/sub_graphs fi exit 0; |