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egs/mini_librispeech/s5/local/kws/search.sh
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#!/bin/bash # Copyright 2012-2018 Johns Hopkins University (Author: Guoguo Chen, Yenda Trmal) # License: Apache 2.0 help_message="$(basename $0): do keyword indexing and search. data-dir is assumed to have kws/ subdirectory that specifies the terms to search for. Output is in decode-dir/kws/ Usage: $(basename $0) <lang-dir> <data-dir> <decode-dir>" # Begin configuration section. min_lmwt=8 max_lmwt=12 cmd=run.pl model= skip_scoring=false skip_optimization=false # true can speed it up if #keywords is small. max_states=350000 indices_dir= kwsout_dir= stage=0 word_ins_penalty=0 extraid= silence_word= # specify this if you did to in kws_setup.sh, it's more accurate. strict=false duptime=0.6 ntrue_scale=1.0 frame_subsampling_factor=1 nbest=-1 max_silence_frames=50 skip_indexing=false # End configuration section. echo "$0 $@" # Print the command line for logging [ -f ./path.sh ] && . ./path.sh; # source the path. . parse_options.sh || exit 1; set -u set -e set -o pipefail if [[ "$#" -ne "3" ]] ; then echo -e "$0: FATAL: wrong number of script parameters! " printf "$help_message " exit 1; fi silence_opt= langdir=$1 datadir=$2 decodedir=$3 if [ -z $extraid ] ; then kwsdatadir=$datadir/kws else kwsdatadir=$datadir/kwset_${extraid} fi if [ -z $extraid ] ; then kwsoutdir=$decodedir/kws else kwsoutdir=$decodedir/kwset_${extraid} fi if [ -z $indices_dir ]; then indices_dir=$kwsoutdir fi if [ ! -z "$model" ]; then model_flags="--model $model" else model_flags= fi mkdir -p $kwsoutdir for d in "$datadir" "$kwsdatadir" "$langdir" "$decodedir"; do if [ ! -d "$d" ]; then echo "$0: FATAL: expected directory $d to exist" exit 1; fi done echo "$0: Searching: $kwsdatadir" duration=$(cat $kwsdatadir/trials) echo "$0: Duration: $duration" frame_subsampling_factor=1 if [ -f $decodedir/../frame_subsampling_factor ] ; then frame_subsampling_factor=$(cat $decodedir/../frame_subsampling_factor) echo "$0: Frame subsampling factor autodetected: $frame_subsampling_factor" elif [ -f $decodedir/../../frame_subsampling_factor ] ; then frame_subsampling_factor=$(cat $decodedir/../../frame_subsampling_factor) echo "$0: Frame subsampling factor autodetected: $frame_subsampling_factor" fi if [ $stage -le 0 ] ; then if [ ! -f $indices_dir/.done.index ] && ! $skip_indexing ; then [ ! -d $indices_dir ] && mkdir $indices_dir for lmwt in $(seq $min_lmwt $max_lmwt) ; do indices=${indices_dir}_$lmwt mkdir -p $indices acwt=$(perl -e "print 1.0/$lmwt") [ ! -z $silence_word ] && silence_opt="--silence-word $silence_word" steps/make_index.sh $silence_opt --cmd "$cmd" --acwt $acwt $model_flags\ --skip-optimization $skip_optimization --max-states $max_states \ --word-ins-penalty $word_ins_penalty --max-silence-frames $max_silence_frames\ --frame-subsampling-factor ${frame_subsampling_factor} \ $kwsdatadir $langdir $decodedir $indices || exit 1 done touch $indices_dir/.done.index else echo "$0: Assuming indexing has been aready done. If you really need to re-run " echo "$0: the indexing again, delete the file $indices_dir/.done.index" fi fi keywords=$kwsdatadir/keywords.fsts if [ -f $keywords ] ; then echo "$0: Using ${keywords} for search" keywords="ark:$keywords" elif [ -f ${keywords}.gz ] ; then echo "$0: Using ${keywords}.gz for search" keywords="ark:gunzip -c ${keywords}.gz |" else echo "$0: The keyword file ${keywords}[.gz] does not exist" fi if [ $stage -le 1 ]; then for lmwt in $(seq $min_lmwt $max_lmwt) ; do kwsoutput=${kwsoutdir}_$lmwt indices=${indices_dir}_$lmwt nj=$(cat $indices/num_jobs) for f in $indices/index.1.gz ; do [ ! -f $f ] && echo "$0: no such file $f" && exit 1; done mkdir -p $kwsoutput/log $cmd JOB=1:$nj $kwsoutput/log/search.JOB.log \ set -e -o pipefail '&&' \ kws-search --strict=$strict --negative-tolerance=-1 \ --frame-subsampling-factor=${frame_subsampling_factor} \ "ark:gzip -cdf $indices/index.JOB.gz|" "$keywords" \ "ark,t:| sort -u | gzip -c > $kwsoutput/result.JOB.gz" \ "ark,t:| sort -u | gzip -c > $kwsoutput/stats.JOB.gz" || exit 1; done fi if [ $stage -le 2 ]; then for lmwt in $(seq $min_lmwt $max_lmwt) ; do kwsoutput=${kwsoutdir}_$lmwt indices=${indices_dir}_$lmwt nj=$(cat $indices/num_jobs) # This is a memory-efficient way how to do the filtration # we do this in this way because the result.* files can be fairly big # and we do not want to run into troubles with memory files="" for job in $(seq 1 $nj); do if [ -f $kwsoutput/result.${job}.gz ] ; then files="$files <(gunzip -c $kwsoutput/result.${job}.gz)" elif [ -f $kwsoutput/result.${job} ] ; then files="$files $kwsoutput/result.${job}" else echo >&2 "The file $kwsoutput/result.${job}[.gz] does not exist" exit 1 fi done # we have to call it using eval as we need the bash to interpret # the (possible) command substitution in case of gz files # bash -c would probably work as well, but would spawn another # shell instance eval "sort -m -u $files" |\ local/kws/filter_kws_results.pl --likes --nbest $nbest > $kwsoutput/results || exit 1 done fi if [ -z $extraid ] ; then extraid_flags= else extraid_flags=" --extraid ""$extraid"" " fi if [ $stage -le 4 ]; then if $skip_scoring ; then echo "$0: Not scoring, because --skip-scoring true was issued" elif [ ! -x local/kws/score.sh ] ; then echo "$0: Not scoring, because the file local/kws_score.sh is not present" else echo "$0: Scoring KWS results" local/kws/score.sh --cmd "$cmd" \ --min-lmwt $min_lmwt --max-lmwt $max_lmwt $extraid_flags \ $langdir $datadir ${kwsoutdir} || exit 1; fi fi echo "$0: Done" exit 0 |