make_denlats_sgmm2.sh.svn-base
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#!/bin/bash
# Copyright 2012 Johns Hopkins University (Author: Daniel Povey). Apache 2.0.
# 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" ($alidir). 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.
num_threads=1
parallel_opts=
# 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 [ $# != 4 ]; then
echo "Usage: steps/make_denlats_sgmm2.sh [options] <data-dir> <lang-dir> <src-dir|alidir> <exp-dir>"
echo " e.g.: steps/make_denlats_sgmm2.sh 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."
echo " --num-threads <n> # number of threads per decoding job"
echo " --parallel-opts <string> # if >1 thread, add this to 'cmd', e.g. -pe smp 6"
exit 1;
fi
data=$1
lang=$2
alidir=$3 # could also be $srcdir, but only if no vectors supplied.
dir=$4
sdata=$data/split$nj
splice_opts=`cat $alidir/splice_opts 2>/dev/null`
if [ $num_threads -gt 1 ]; then
# the -parallel becomes part of the binary name we decode with.
thread_string="-parallel --num-threads=$num_threads"
fi
mkdir -p $dir/log
[[ -d $sdata && $data/feats.scp -ot $sdata ]] || split_data.sh $data $nj || exit 1;
echo $nj > $dir/num_jobs
oov=`cat $lang/oov.int` || exit 1;
mkdir -p $dir
cp -r $lang $dir/
# Compute grammar FST which corresponds to unigram decoding graph.
new_lang="$dir/"$(basename "$lang")
echo "Making unigram grammar FST in $new_lang"
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 > $new_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 $alidir; the output HCLG.fst goes in $dir/graph.
echo "Compiling decoding graph in $dir/dengraph"
if [ -s $dir/dengraph/HCLG.fst ] && [ $dir/dengraph/HCLG.fst -nt $srcdir/final.mdl ]; then
echo "Graph $dir/dengraph/HCLG.fst already exists: skipping graph creation."
else
utils/mkgraph.sh $new_lang $alidir $dir/dengraph || exit 1;
fi
if [ -f $alidir/final.mat ]; then feat_type=lda; else feat_type=delta; fi
echo "align_si.sh: 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 $alidir/final.mat ark:- ark:- |"
cp $alidir/final.mat $dir
;;
*) echo "Invalid feature type $feat_type" && exit 1;
esac
if [ ! -z "$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 $alidir/final.mat ] && ! cmp $transform_dir/final.mat $alidir/final.mat && \
echo "$0: LDA transforms differ between $alidir 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 $alidir/gselect.1.gz ]; then
gselect_opt="--gselect=ark,s,cs:gunzip -c $alidir/gselect.JOB.gz|"
else
echo "$0: no such file $alidir/gselect.1.gz" && exit 1;
fi
if [ -f $alidir/vecs.1 ]; then
spkvecs_opt="--spk-vecs=ark:$alidir/vecs.JOB --utt2spk=ark:$sdata/JOB/utt2spk"
[ "`cat $alidir/num_jobs`" -ne "$nj" ] \
&& echo "$0: mismatch in number of jobs with $alidir" && exit 1;
else
if [ -f $alidir/final.alimdl ]; then
echo "$0: 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 $parallel_opts JOB=1:$nj $dir/log/decode_den.JOB.log \
sgmm2-latgen-faster$thread_string $spkvecs_opt "$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 $alidir/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 $alidir/final.mdl ]; then
echo "Not processing subset $n as already done (delete $dir/.done.$n if not)";
else
sdata2=$data/split$nj/$n/split$sub_split;
if [ ! -d $sdata2 ] || [ $sdata2 -ot $sdata/$n/feats.scp ]; then
split_data.sh --per-utt $sdata/$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 $parallel_opts JOB=1:$sub_split $dir/log/$n/decode_den.JOB.log \
sgmm2-latgen-faster$thread_string $spkvecs_opt_subset "$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 $alidir/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."