Kaldi / Kaldi first steps

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LIA_kaldiUtils/score_sclite.sh 4.03 KB
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ec85f8892   bigot benjamin   first commit 
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  #!/bin/bash
  # Copyright Johns Hopkins University (Author: Daniel Povey) 2012.  Apache 2.0.
  
  # begin configuration section.
  cmd=run.pl
  stage=0
  min_lmwt=5
  max_lmwt=20
  reverse=false
  #end configuration section.
  
  [ -f ./path.sh ] && . ./path.sh
  . parse_options.sh || exit 1;
  
  if [ $# -ne 3 ]; then
    echo "Usage: local/score_sclite.sh [--cmd (run.pl|queue.pl...)] <data-dir> <lang-dir|graph-dir> <decode-dir>"
    echo " Options:"
    echo "    --cmd (run.pl|queue.pl...)      # specify how to run the sub-processes."
    echo "    --stage (0|1|2)                 # start scoring script from part-way through."
    echo "    --min_lmwt <int>                # minumum LM-weight for lattice rescoring "
    echo "    --max_lmwt <int>                # maximum LM-weight for lattice rescoring "
    echo "    --reverse (true/false)          # score with time reversed features "
    exit 1;
  fi
  
  data=$1
  lang=$2 # Note: may be graph directory not lang directory, but has the necessary stuff copied.
  dir=$3
  
  model=$dir/../final.mdl # assume model one level up from decoding dir.
  
  hubscr=$KALDI_ROOT/tools/sctk-2.4.0/bin/hubscr.pl 
  [ ! -f $hubscr ] && echo "Cannot find scoring program at $hubscr" && exit 1;
  hubdir=`dirname $hubscr`
  
  for f in $data/stm $data/glm $lang/words.txt $lang/phones/word_boundary.int \
       $model $data/segments $data/reco2file_and_channel $dir/lat.1.gz; do
    [ ! -f $f ] && echo "$0: expecting file $f to exist" && exit 1;
  done
  
  name=`basename $data`; # e.g. eval2000
  
  mkdir -p $dir/scoring/log
  
  if [ $stage -le 0 ]; then
    if $reverse; then
      $cmd LMWT=$min_lmwt:$max_lmwt $dir/scoring/log/get_ctm.LMWT.log \
        mkdir -p $dir/score_LMWT/ '&&' \
        lattice-1best --lm-scale=LMWT "ark:gunzip -c $dir/lat.*.gz|" ark:- \| \
        lattice-reverse ark:- ark:- \| \
        lattice-align-words --reorder=false $lang/phones/word_boundary.int $model ark:- ark:- \| \
        nbest-to-ctm ark:- - \| \
        utils/int2sym.pl -f 5 $lang/words.txt  \| \
        utils/convert_ctm.pl $data/segments $data/reco2file_and_channel \
        '>' $dir/score_LMWT/$name.ctm || exit 1;
    else
      $cmd LMWT=$min_lmwt:$max_lmwt $dir/scoring/log/get_ctm.LMWT.log \
        mkdir -p $dir/score_LMWT/ '&&' \
        lattice-1best --lm-scale=LMWT "ark:gunzip -c $dir/lat.*.gz|" ark:- \| \
        lattice-align-words $lang/phones/word_boundary.int $model ark:- ark:- \| \
        nbest-to-ctm ark:- - \| \
        utils/int2sym.pl -f 5 $lang/words.txt  \| \
        utils/convert_ctm.pl $data/segments $data/reco2file_and_channel \
        '>' $dir/score_LMWT/$name.ctm || exit 1;
    fi
  fi
  
  if [ $stage -le 1 ]; then
  # Remove some stuff we don't want to score, from the ctm.
    for x in $dir/score_*/$name.ctm; do
      cp $x $dir/tmpf;
      cat $dir/tmpf | grep -i -v -E '\[NOISE|LAUGHTER|VOCALIZED-NOISE\]' | \
        grep -i -v -E '<UNK>' > $x;
  #      grep -i -v -E '<UNK>|%HESITATION' > $x;  # hesitation is scored
    done
  fi
  
  # Score the set...
  if [ $stage -le 2 ]; then  
    $cmd LMWT=$min_lmwt:$max_lmwt $dir/scoring/log/score.LMWT.log \
      cp $data/stm $dir/score_LMWT/ '&&' \
      $hubscr -p $hubdir -V -l english -h hub5 -g $data/glm -r $dir/score_LMWT/stm $dir/score_LMWT/${name}.ctm || exit 1;
  fi
  
  # For eval2000 score the subsets
  if [ "$name" == "eval2000" ]; then
    # Score only the, swbd part...
    if [ $stage -le 3 ]; then  
      $cmd LMWT=$min_lmwt:$max_lmwt $dir/scoring/log/score.swbd.LMWT.log \
        grep -v '^en_' $data/stm '>' $dir/score_LMWT/stm.swbd '&&' \
        grep -v '^en_' $dir/score_LMWT/${name}.ctm '>' $dir/score_LMWT/${name}.ctm.swbd '&&' \
        $hubscr -p $hubdir -V -l english -h hub5 -g $data/glm -r $dir/score_LMWT/stm.swbd $dir/score_LMWT/${name}.ctm.swbd || exit 1;
    fi
    # Score only the, callhome part...
    if [ $stage -le 3 ]; then  
      $cmd LMWT=$min_lmwt:$max_lmwt $dir/scoring/log/score.callhm.LMWT.log \
        grep -v '^sw_' $data/stm '>' $dir/score_LMWT/stm.callhm '&&' \
        grep -v '^sw_' $dir/score_LMWT/${name}.ctm '>' $dir/score_LMWT/${name}.ctm.callhm '&&' \
        $hubscr -p $hubdir -V -l english -h hub5 -g $data/glm -r $dir/score_LMWT/stm.callhm $dir/score_LMWT/${name}.ctm.callhm || exit 1;
    fi
  fi
  
  exit 0