#!/bin/bash
  set -e
  
  # Copyright 2009-2012  Microsoft Corporation  Johns Hopkins University (Author: Daniel Povey)
  # Apache 2.0.
  
  # This is modified from the script in standard Kaldi recipe to account
  # for the way the WSJ data is structured on the Edinburgh systems.
  # - Arnab Ghoshal, 29/05/12
  
  # Modified from the script for CHiME2 baseline
  # Shinji Watanabe 02/13/2015
  
  # Config:
  eval_flag=true # make it true when the evaluation data are released
  
  . utils/parse_options.sh || exit 1;
  
  if [ $# -ne 2 ]; then
    printf "
  USAGE: %s <enhancement-name> <enhanced-speech-directory>
  
  " `basename $0`
    echo "The argument should be a the directory that only contains enhanced speech data."
    exit 1;
  fi
  
  echo "$0 $@"  # Print the command line for logging
  
  enhan=$1
  audio_dir=$2
  
  dir=`pwd`/data/local/data
  mkdir -p $dir
  local=`pwd`/local
  utils=`pwd`/utils
  odir=`pwd`/data
  
  . ./path.sh # Needed for KALDI_ROOT
  export PATH=$PATH:$KALDI_ROOT/tools/irstlm/bin
  sph2pipe=$KALDI_ROOT/tools/sph2pipe_v2.5/sph2pipe
  if [ ! -x $sph2pipe ]; then
    echo "Could not find (or execute) the sph2pipe program at $sph2pipe";
    exit 1;
  fi
  
  if $eval_flag; then
  list_set="tr05_real_$enhan dt05_real_$enhan et05_real_$enhan"
  else
  list_set="tr05_real_$enhan dt05_real_$enhan"
  fi
  
  cd $dir
  
  find $audio_dir/ -name '*.wav' | grep 'tr05_bus_real\|tr05_caf_real\|tr05_ped_real\|tr05_str_real' | sort -u > tr05_real_$enhan.flist
  find $audio_dir/ -name '*.wav' | grep 'dt05_bus_real\|dt05_caf_real\|dt05_ped_real\|dt05_str_real' | sort -u > dt05_real_$enhan.flist
  if $eval_flag; then
  find $audio_dir/ -name '*.wav' | grep 'et05_bus_real\|et05_caf_real\|et05_ped_real\|et05_str_real' | sort -u > et05_real_$enhan.flist
  fi
  
  # make a scp file from file list
  for x in $list_set; do
      cat $x.flist | awk -F'[/]' '{print $NF}'| sed -e 's/\.wav/_REAL/' > ${x}_wav.ids
      paste -d" " ${x}_wav.ids $x.flist | sort -k 1 > ${x}_wav.scp
  done
  
  #make a transcription from dot
  cat tr05_real.dot | sed -e 's/(\(.*\))/\1/' | awk '{print $NF "_REAL"}'> tr05_real_$enhan.ids
  cat tr05_real.dot | sed -e 's/(.*)//' > tr05_real_$enhan.txt
  paste -d" " tr05_real_$enhan.ids tr05_real_$enhan.txt | sort -k 1 > tr05_real_$enhan.trans1
  cat dt05_real.dot | sed -e 's/(\(.*\))/\1/' | awk '{print $NF "_REAL"}'> dt05_real_$enhan.ids
  cat dt05_real.dot | sed -e 's/(.*)//' > dt05_real_$enhan.txt
  paste -d" " dt05_real_$enhan.ids dt05_real_$enhan.txt | sort -k 1 > dt05_real_$enhan.trans1
  if $eval_flag; then
  cat et05_real.dot | sed -e 's/(\(.*\))/\1/' | awk '{print $NF "_REAL"}'> et05_real_$enhan.ids
  cat et05_real.dot | sed -e 's/(.*)//' > et05_real_$enhan.txt
  paste -d" " et05_real_$enhan.ids et05_real_$enhan.txt | sort -k 1 > et05_real_$enhan.trans1
  fi
  
  # Do some basic normalization steps.  At this point we don't remove OOVs--
  # that will be done inside the training scripts, as we'd like to make the
  # data-preparation stage independent of the specific lexicon used.
  noiseword="<NOISE>";
  for x in $list_set;do
    cat $x.trans1 | $local/normalize_transcript.pl $noiseword \
      | sort > $x.txt || exit 1;
  done
  
  # Make the utt2spk and spk2utt files.
  for x in $list_set; do
    cat ${x}_wav.scp | awk -F'_' '{print $1}' > $x.spk
    cat ${x}_wav.scp | awk '{print $1}' > $x.utt
    paste -d" " $x.utt $x.spk > $x.utt2spk
    cat $x.utt2spk | $utils/utt2spk_to_spk2utt.pl > $x.spk2utt || exit 1;
  done
  
  # copying data to data/...
  for x in $list_set; do
    mkdir -p $odir/$x
    cp ${x}_wav.scp $odir/$x/wav.scp || exit 1;
    cp ${x}.txt     $odir/$x/text    || exit 1;
    cp ${x}.spk2utt $odir/$x/spk2utt || exit 1;
    cp ${x}.utt2spk $odir/$x/utt2spk || exit 1;
  done
  
  echo "Data preparation succeeded"