#!/bin/bash
  
  # Copyright 2012  Johns Hopkins University (Author: Daniel Povey)
  # Apache 2.0
  # Decoding of fMMI or fMPE models (feature-space discriminative training).
  # If transform-dir supplied, expects e.g. fMLLR transforms in that dir.
  
  # Begin configuration section.  
  iter=final
  nj=4
  cmd=run.pl
  ngselect=2; # Just use the 2 top Gaussians for fMMI/fMPE.  Should match train.
  transform_dir=
  # End configuration section.
  
  echo "$0 $@"  # Print the command line for logging
  
  [ -f ./path.sh ] && . ./path.sh; # source the path.
  . parse_options.sh || exit 1;
  
  if [ $# != 5 ]; then
     echo "Usage: $0 [options] <tgt-data-dir> <src-data-dir> <gmm-dir> <log-dir> <fea-dir>"
     echo "e.g.: $0 data-fmmi/train data/train exp/tri5a_fmmi_b0.1 data-fmmi/train/_log data-fmmi/train/_data "
     echo ""
     echo "This script works on CMN + (delta+delta-delta | LDA+MLLT) features; it works out"
     echo "what type of features you used (assuming it's one of these two)"
     echo "You can also use fMLLR features-- you have to supply --transform-dir option."
     echo ""
     echo "main options (for others, see top of script file)"
     echo "  --config <config-file>                           # config containing options"
     echo "  --nj <nj>                                        # number of parallel jobs"
     echo "  --iter <iter>                                    # Iteration of model to test."
     echo "  --cmd (utils/run.pl|utils/queue.pl <queue opts>) # how to run jobs."
     echo "  --transform-dir <transform-dir>                  # where to find fMLLR transforms."
     exit 1;
  fi
  
  
  data=$1
  srcdata=$2
  gmmdir=$3
  logdir=$4
  feadir=$5
  
  
  
  #srcdir=$1 -> gmmdir
  #data=$2 -> srcdata
  #dir=$3 -> ruzne
  #tgtdata=$4 -> feadir
  
  sdata=$srcdata/split$nj;
  splice_opts=`cat $gmmdir/splice_opts 2>/dev/null`
  
  mkdir -p $data $logdir $feadir
  [[ -d $sdata && $srcdata/feats.scp -ot $sdata ]] || split_data.sh $srcdata $nj || exit 1;
  
  for f in $sdata/1/feats.scp $sdata/1/cmvn.scp $gmmdir/$iter.fmpe; do
    [ ! -f $f ] && echo "$0: no such file $f" && exit 1;
  done
  
  if [ -f $gmmdir/final.mat ]; then feat_type=lda; else feat_type=delta; fi
  echo "$0: feature type is $feat_type";
  
  case $feat_type in
    delta) feats="ark,s,cs:apply-cmvn --norm-vars=false --utt2spk=ark:$sdata/JOB/utt2spk scp:$sdata/JOB/cmvn.scp scp:$sdata/JOB/feats.scp ark:- | add-deltas ark:- ark:- |";;
    lda) feats="ark,s,cs:apply-cmvn --norm-vars=false --utt2spk=ark:$sdata/JOB/utt2spk scp:$sdata/JOB/cmvn.scp scp:$sdata/JOB/feats.scp ark:- | splice-feats $splice_opts ark:- ark:- | transform-feats $gmmdir/final.mat ark:- ark:- |";;
    *) echo "Invalid feature type $feat_type" && exit 1;
  esac
  
  if [ ! -z "$transform_dir" ]; then # add transforms to features...
    echo "Using fMLLR transforms from $transform_dir"
    [ ! -f $transform_dir/trans.1 ] && echo "Expected $transform_dir/trans.1 to exist."
    [ "`cat $transform_dir/num_jobs`" -ne $nj ] && \
       echo "Mismatch in number of jobs with $transform_dir";
    feats="$feats transform-feats --utt2spk=ark:$sdata/JOB/utt2spk ark:$transform_dir/trans.JOB ark:- ark:- |"
  fi
  
  # Get Gaussian selection info.
  $cmd JOB=1:$nj $logdir/gselect.JOB.log \
    gmm-gselect --n=$ngselect $gmmdir/$iter.fmpe "$feats" \
    "ark:|gzip -c >$feadir/gselect.JOB.gz" || exit 1;
  
  #prepare the dir
  cp $srcdata/* $data; rm $data/{feats.scp,cmvn.scp};
  
  # make $bnfeadir an absolute pathname.
  feadir=`perl -e '($dir,$pwd)= @ARGV; if($dir!~m:^/:) { $dir = "$pwd/$dir"; } print $dir; ' $feadir ${PWD}`
  
  #forward the feats
  $cmd JOB=1:$nj $logdir/make_fmmi_feats.JOB.log \
    fmpe-apply-transform $gmmdir/$iter.fmpe "$feats" "ark,s,cs:gunzip -c $feadir/gselect.JOB.gz|"  \
    ark,scp:$feadir/feats_fmmi.JOB.ark,$feadir/feats_fmmi.JOB.scp || exit 1;
     
  #merge the feats to single SCP
  for n in $(seq 1 $nj); do
    cat $feadir/feats_fmmi.$n.scp 
  done > $data/feats.scp
  
  echo "$0 finished... $srcdata -> $data ($gmmdir)"
  
  exit 0;