make_denlats_sgmm.sh.svn-base
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#!/bin/bash
# Copyright 2012 Johns Hopkins University (Author: Daniel Povey). Apache 2.0.
# Korbinian Riedhammer
# Create denominator lattices for MMI/MPE training, with SGMM models. If the
# features have fMLLR transforms you have to supply the --transform-dir option.
# It gets any speaker vectors from the "alignment dir" ($srcdir). Note: this is
# possibly a slight mismatch because the speaker vectors come from supervised
# adaptation.
# Begin configuration section.
nj=4
cmd=run.pl
sub_split=1
beam=13.0
lattice_beam=7.0
acwt=0.1
max_active=5000
transform_dir=
max_mem=20000000 # This will stop the processes getting too large.
# 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: steps/tandem/make_denlats_sgmm.sh [options] <data1-dir> <data2-dir> <lang-dir> <src-dir|srcdir> <exp-dir>"
echo " e.g.: steps/tandem/make_denlats_sgmm.sh {mfcc,bottleneck}/data/train data/lang exp/sgmm4a_ali exp/sgmm4a_denlats"
echo "Works for (delta|lda) features, and (with --transform-dir option) such features"
echo " plus transforms."
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 " --cmd (utils/run.pl|utils/queue.pl <queue opts>) # how to run jobs."
echo " --sub-split <n-split> # e.g. 40; use this for "
echo " # large databases so your jobs will be smaller and"
echo " # will (individually) finish reasonably soon."
echo " --transform-dir <transform-dir> # directory to find fMLLR transforms."
exit 1;
fi
data1=$1
data2=$2
lang=$3
srcdir=$4 # could also be $srcdir, but only if no vectors supplied.
dir=$5
splice_opts=`cat $srcdir/splice_opts 2>/dev/null`
normft2=`cat $srcdir/normft2 2>/dev/null`
mkdir -p $dir/log
sdata1=$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;
echo $nj > $dir/num_jobs
oov=`cat $lang/oov.int` || exit 1;
mkdir -p $dir
cp -r $lang $dir/
# Compute grammar FST which corresponds to unigram decoding graph.
cat $data/text | utils/sym2int.pl --map-oov $oov -f 2- $lang/words.txt | \
awk '{for(n=2;n<=NF;n++){ printf("%s ", $n); } printf("\n"); }' | \
utils/make_unigram_grammar.pl | fstcompile > $dir/lang/G.fst \
|| exit 1;
# mkgraph.sh expects a whole directory "lang", so put everything in one directory...
# it gets L_disambig.fst and G.fst (among other things) from $dir/lang, and
# final.mdl from $srcdir; the output HCLG.fst goes in $dir/graph.
if [ -s $dir/dengraph/HCLG.fst ]; then
echo "Graph $dir/dengraph/HCLG.fst already exists: skipping graph creation."
else
utils/mkgraph.sh $dir/lang $srcdir $dir/dengraph || exit 1;
fi
# Set up features
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 $feats2 ark:- |"
fi
# assemble tandem features
feats="ark,s,cs:paste-feats '$feats1' '$feats2' ark:- |"
# add transformation, if applicable
if [ "$feat_type" == "lda" ]; then
feats="$feats transform-feats $dir/final.mat ark:- ark:- |"
fi
# splicing/normalization options
cp $srcdir/{splice_opts,normft2,tandem} $dir 2>/dev/null
if [ ! -z "$transform_dir" ]; then # add transforms to features...
echo "$0: 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 "$0: mismatch in number of jobs with $transform_dir" && exit 1;
[ -f $srcdir/final.mat ] && ! cmp $transform_dir/final.mat $srcdir/final.mat && \
echo "$0: LDA transforms differ between $srcdir and $transform_dir"
feats="$feats transform-feats --utt2spk=ark:$sdata/JOB/utt2spk ark:$transform_dir/trans.JOB ark:- ark:- |"
else
echo "Assuming you don't have a SAT system, since no --transform-dir option supplied "
fi
if [ -f $srcdir/gselect.1.gz ]; then
gselect_opt="--gselect=ark:gunzip -c $srcdir/gselect.JOB.gz|"
else
echo "$0: no such file $srcdir/gselect.1.gz" && exit 1;
fi
if [ -f $srcdir/vecs.1 ]; then
spkvecs_opt="--spk-vecs=ark:$srcdir/vecs.JOB --utt2spk=ark:$sdata/JOB/utt2spk"
else
if [ -f $srcdir/final.alimdl ]; then
echo "You seem to have an SGMM system with speaker vectors,"
echo "yet we can't find speaker vectors. Perhaps you supplied"
echo "the model director instead of the alignment directory?"
exit 1;
fi
fi
if [ $sub_split -eq 1 ]; then
$cmd JOB=1:$nj $dir/log/decode_den.JOB.log \
sgmm-latgen-faster $spkvecs_opt "$gselect_opt" --beam=$beam \
--lattice-beam=$lattice_beam --acoustic-scale=$acwt \
--max-mem=$max_mem --max-active=$max_active --word-symbol-table=$lang/words.txt $srcdir/final.mdl \
$dir/dengraph/HCLG.fst "$feats" "ark:|gzip -c >$dir/lat.JOB.gz" || exit 1;
else
for n in `seq $nj`; do
if [ -f $dir/.done.$n ] && [ $dir/.done.$n -nt $srcdir/final.mdl ]; then
echo "Not processing subset $n as already done (delete $dir/.done.$n if not)";
else
ssdata1=$data1/split$nj/$n/split$sub_split;
if [ ! -d $ssdata1 ] || [ $ssdata1 -ot $sdata1/$n/feats.scp ]; then
split_data.sh --per-utt $sdata1/$n $sub_split || exit 1;
fi
ssdata2=$data2/split$nj/$n/split$sub_split;
if [ ! -d $ssdata2 ] || [ $ssdata2 -ot $sdata2/$n/feats.scp ]; then
split_data.sh --per-utt $sdata2/$n $sub_split || exit 1;
fi
mkdir -p $dir/log/$n
mkdir -p $dir/part
feats_subset=`echo $feats | sed "s/trans.JOB/trans.$n/g" | sed s:JOB/:$n/split$sub_split/JOB/:g`
spkvecs_opt_subset=`echo $spkvecs_opt | sed "s/JOB/$n/g"`
gselect_opt_subset=`echo $gselect_opt | sed "s/JOB/$n/g"`
$cmd JOB=1:$sub_split $dir/log/$n/decode_den.JOB.log \
sgmm-latgen-faster $spkvecs_opt_subset "$gselect_opt_subset" \
--beam=$beam --lattice-beam=$lattice_beam \
--acoustic-scale=$acwt --max-mem=$max_mem --max-active=$max_active \
--word-symbol-table=$lang/words.txt $srcdir/final.mdl \
$dir/dengraph/HCLG.fst "$feats_subset" "ark:|gzip -c >$dir/lat.$n.JOB.gz" || exit 1;
echo Merging archives for data subset $n
rm $dir/.error 2>/dev/null;
for k in `seq $sub_split`; do
gunzip -c $dir/lat.$n.$k.gz || touch $dir/.error;
done | gzip -c > $dir/lat.$n.gz || touch $dir/.error;
[ -f $dir/.error ] && echo Merging lattices for subset $n failed && exit 1;
rm $dir/lat.$n.*.gz
touch $dir/.done.$n
fi
done
fi
echo "$0: done generating denominator lattices with SGMMs."