#!/bin/bash
# Copyright 2012  Johns Hopkins University (Author: Daniel Povey)
#                 Korbinian Riedhammer
# Apache 2.0

# Computes training alignments; assumes features are (LDA+MLLT or delta+delta-delta)
# + fMLLR (probably with SAT models).
# It first computes an alignment with the final.alimdl (or the final.mdl if final.alimdl
# is not present), then does 2 iterations of fMLLR estimation.

# If you supply the --use-graphs option, it will use the training
# graphs from the source directory (where the model is).  In this
# case the number of jobs must match the source directory.


# Begin configuration section.  
stage=0
nj=4
cmd=run.pl
use_graphs=false
# Begin configuration.
scale_opts="--transition-scale=1.0 --acoustic-scale=0.1 --self-loop-scale=0.1"
beam=10
retry_beam=40
boost_silence=1.0 # factor by which to boost silence during alignment.
fmllr_update_type=full
# End configuration options.

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: steps/tandem/align_fmllr.sh <data1-dir> <data2-dir> <lang-dir> <src-dir> <align-dir>"
   echo "e.g.:  steps/tandem/align_fmllr.sh {mfcc,bottleneck}/data/train data/lang exp/tri1 exp/tri1_ali"
   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 "  --use-graphs true                                # use graphs in src-dir"
   echo "  --cmd (utils/run.pl|utils/queue.pl <queue opts>) # how to run jobs."
   echo "  --fmllr-update-type (full|diag|offset|none)      # default full."
   exit 1;
fi

data1=$1
data2=$2
lang=$3
srcdir=$4
dir=$5

oov=`cat $lang/oov.int` || exit 1;
silphonelist=`cat $lang/phones/silence.csl` || exit 1;

mkdir -p $dir/log
echo $nj > $dir/num_jobs

sdata1=$data1/split$nj
sdata2=$data2/split$nj
[[ -d $sdata1 && $data1/feats.scp -ot $sdata1 ]] || split_data.sh $data1 $nj || exit 1;
[[ -d $sdata2 && $data2/feats.scp -ot $sdata2 ]] || split_data.sh $data2 $nj || exit 1;

cp $srcdir/{tree,final.mdl} $dir || exit 1;
cp $srcdir/final.occs $dir;

# Set up features.
splice_opts=`cat $srcdir/splice_opts 2>/dev/null` # frame-splicing options.
normft2=`cat $srcdir/normft2 2>/dev/null`

if [ -f $srcdir/final.mat ]; then feat_type=lda; else feat_type=delta; fi

case $feat_type in
  delta) 
  	echo "$0: feature type is $feat_type"
  	;;
  lda) 
  	echo "$0: feature type is $feat_type"
    cp $srcdir/{lda,final}.mat $dir/ || exit 1; 
    ;;
  *) echo "$0: invalid feature type $feat_type" && exit 1;
esac

# set up feature stream 1;  this are usually spectral features, so we will add
# deltas or splice them
feats1="ark,s,cs:apply-cmvn --norm-vars=false --utt2spk=ark:$sdata1/JOB/utt2spk scp:$sdata1/JOB/cmvn.scp scp:$sdata1/JOB/feats.scp ark:- |"

if [ "$feat_type" == "delta" ]; then
  feats1="$feats1 add-deltas ark:- ark:- |"
elif [ "$feat_type" == "lda" ]; then
  feats1="$feats1 splice-feats $splice_opts ark:- ark:- | transform-feats $dir/lda.mat ark:- ark:- |"
fi

# set up feature stream 2;  this are usually bottleneck or posterior features, 
# which may be normalized if desired
feats2="scp:$sdata2/JOB/feats.scp"

if [ "$normft2" == "true" ]; then
  feats2="ark,s,cs:apply-cmvn --norm-vars=false --utt2spk=ark:$sdata2/JOB/utt2spk scp:$sdata2/JOB/cmvn.scp $feats2 ark:- |"
fi

# assemble tandem features
sifeats="ark,s,cs:paste-feats '$feats1' '$feats2' ark:- |"

# add transformation, if applicable
if [ "$feat_type" == "lda" ]; then
  sifeats="$sifeats transform-feats $dir/final.mat ark:- ark:- |"
fi

# splicing/normalization options
cp $srcdir/{splice_opts,normft2,tandem} $dir 2>/dev/null


## Set up model and alignment model.
mdl=$srcdir/final.mdl
if [ -f $srcdir/final.alimdl ]; then
  alimdl=$srcdir/final.alimdl
else
  alimdl=$srcdir/final.mdl
fi
[ ! -f $mdl ] && echo "$0: no such model $mdl" && exit 1;
alimdl_cmd="gmm-boost-silence --boost=$boost_silence `cat $lang/phones/optional_silence.csl` $alimdl - |"
mdl_cmd="gmm-boost-silence --boost=$boost_silence `cat $lang/phones/optional_silence.csl` $mdl - |"


## Work out where we're getting the graphs from.
if $use_graphs; then
  [ "$nj" != "`cat $srcdir/num_jobs`" ] && \
    echo "$0: you specified --use-graphs true, but #jobs mismatch." && exit 1;
  [ ! -f $srcdir/fsts.1.gz ] && echo "No graphs in $srcdir" && exit 1;
  graphdir=$srcdir
else
  graphdir=$dir
  if [ $stage -le 0 ]; then
    echo "$0: compiling training graphs"
    tra="ark:utils/sym2int.pl --map-oov $oov -f 2- $lang/words.txt $sdata1/JOB/text|";   
    $cmd JOB=1:$nj $dir/log/compile_graphs.JOB.log  \
      compile-train-graphs $dir/tree $dir/final.mdl  $lang/L.fst "$tra" \
        "ark:|gzip -c >$dir/fsts.JOB.gz" || exit 1;
  fi
fi


if [ $stage -le 1 ]; then
  echo "$0: aligning data in $data1 ($data2) using $alimdl and speaker-independent features."
  $cmd JOB=1:$nj $dir/log/align_pass1.JOB.log \
    gmm-align-compiled $scale_opts --beam=$beam --retry-beam=$retry_beam "$alimdl_cmd" \
    "ark:gunzip -c $graphdir/fsts.JOB.gz|" "$sifeats" "ark:|gzip -c >$dir/pre_ali.JOB.gz" || exit 1;
fi

if [ $stage -le 2 ]; then
  echo "$0: computing fMLLR transforms"
  if [ "$alimdl" != "$mdl" ]; then
    $cmd JOB=1:$nj $dir/log/fmllr.JOB.log \
      ali-to-post "ark:gunzip -c $dir/pre_ali.JOB.gz|" ark:- \| \
      weight-silence-post 0.0 $silphonelist $alimdl ark:- ark:- \| \
      gmm-post-to-gpost $alimdl "$sifeats" ark:- ark:- \| \
      gmm-est-fmllr-gpost --fmllr-update-type=$fmllr_update_type \
      --spk2utt=ark:$sdata1/JOB/spk2utt $mdl "$sifeats" \
      ark,s,cs:- ark:$dir/trans.JOB || exit 1;
  else
    $cmd JOB=1:$nj $dir/log/fmllr.JOB.log \
      ali-to-post "ark:gunzip -c $dir/pre_ali.JOB.gz|" ark:- \| \
      weight-silence-post 0.0 $silphonelist $alimdl ark:- ark:- \| \
      gmm-est-fmllr --fmllr-update-type=$fmllr_update_type \
      --spk2utt=ark:$sdata1/JOB/spk2utt $mdl "$sifeats" \
      ark,s,cs:- ark:$dir/trans.JOB || exit 1;
  fi
fi

feats="$sifeats transform-feats --utt2spk=ark:$sdata1/JOB/utt2spk ark:$dir/trans.JOB ark:- ark:- |"

if [ $stage -le 3 ]; then
  echo "$0: doing final alignment."
  $cmd JOB=1:$nj $dir/log/align_pass2.JOB.log \
    gmm-align-compiled $scale_opts --beam=$beam --retry-beam=$retry_beam "$mdl_cmd" \
    "ark:gunzip -c $graphdir/fsts.JOB.gz|" "$feats" "ark:|gzip -c >$dir/ali.JOB.gz" || exit 1;
fi

rm $dir/pre_ali.*.gz

echo "$0: done aligning data."

utils/summarize_warnings.pl $dir/log

exit 0;