#!/bin/bash
  # Copyright Johns Hopkins University (Author: Daniel Povey) 2012.  Apache 2.0.
  
  # This script produces CTM files from a decoding directory that has lattices
  # present.
  
  
  # begin configuration section.
  cmd=run.pl
  stage=0
  use_segments=true # if we have a segments file, use it to convert
                    # the segments to be relative to the original files.
  #end configuration section.
  
  [ -f ./path.sh ] && . ./path.sh
  . parse_options.sh || exit 1;
  
  if [ $# -ne 3 ]; then
    echo "Usage: local/get_ctm.sh [options] <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 "    --use-segments (true|false)     # use segments and reco2file_and_channel files "
    echo "                                    # to produce a ctm relative to the original audio"
    echo "                                    # files, with channel information (typically needed"
    echo "                                    # for NIST scoring)."
    echo "e.g.:"
    echo "local/get_ctm.sh data/train data/lang exp/tri4a/decode/"
    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.
  
  
  for f in $lang/words.txt $lang/phones/word_boundary.int \
       $model $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 [ -f $data/segments ]; then
      f=$data/reco2file_and_channel
      [ ! -f $f ] && echo "$0: expecting file $f to exist" && exit 1;
      filter_cmd="utils/convert_ctm.pl $data/segments $data/reco2file_and_channel"
    else
      filter_cmd=cat    
    fi
  
    $cmd LMWT=5:20 $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 \| \
      $filter_cmd '>' $dir/score_LMWT/$name.ctm || exit 1;
  fi