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egs/wsj/s5/steps/align_lvtln.sh
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#!/bin/bash
# Copyright 2014 Vimal Manohar
# Computes training alignments; assumes features are (LDA+MLLT or delta+delta-delta)
# Will ignore fMLLR.
# Will estimate VTLN warping factors
# as a by product, which can be used to extract VTLN-warped features.
# 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=10.0
retry_beam=40
boost_silence=1.0 # factor by which to boost silence during alignment.
logdet_scale=1.0
cleanup=false
# 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 [ $# != 4 ]; then
echo "Wrong #arguments ($#, expected 4)"
echo "Usage: steps/align_lvtln.sh [options] <data-dir> <lang-dir> <src-dir> <align-dir>"
echo " e.g.: steps/align_lvtln.sh data/train data/lang exp/tri2c exp/tri2c_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 <cmd> # Command to run in parallel with"
exit 1;
fi
data=$1
lang=$2
srcdir=$3
dir=$4
oov=`cat $lang/oov.int` || exit 1;
silphonelist=`cat $lang/phones/silence.csl` || exit 1;
sdata=$data/split$nj
if [ -f $data/spk2warp ]; then
echo "$0: file $data/spk2warp exists. This script expects non-VTLN features"
exit 1;
fi
mkdir -p $dir/log
echo $nj > $dir/num_jobs
[[ -d $sdata && $data/feats.scp -ot $sdata ]] || split_data.sh $data $nj || exit 1;
utils/lang/check_phones_compatible.sh $lang/phones.txt $srcdir/phones.txt || exit 1;
cp $lang/phones.txt $dir || exit 1;
cp $srcdir/{tree,final.mdl,final.lvtln} $dir || exit 1;
cp $srcdir/final.occs $dir;
splice_opts=`cat $srcdir/splice_opts 2>/dev/null` # frame-splicing options.
cp $srcdir/splice_opts $dir 2>/dev/null # frame-splicing options.
cmvn_opts=`cat $srcdir/cmvn_opts 2>/dev/null`
cp $srcdir/cmvn_opts $dir 2>/dev/null # cmn/cmvn option.
## Set up the unadapted features "$sifeats"
if [ -f $srcdir/final.mat ]; then feat_type=lda; else feat_type=delta; fi
echo "$0: feature type is $feat_type";
case $feat_type in
delta) sifeats="ark,s,cs:apply-cmvn $cmvn_opts --utt2spk=ark:$sdata/JOB/utt2spk scp:$sdata/JOB/cmvn.scp scp:$sdata/JOB/feats.scp ark:- | add-deltas ark:- ark:- |";;
lda) sifeats="ark,s,cs:apply-cmvn $cmvn_opts --utt2spk=ark:$sdata/JOB/utt2spk scp:$sdata/JOB/cmvn.scp scp:$sdata/JOB/feats.scp ark:- | splice-feats $splice_opts ark:- ark:- | transform-feats $srcdir/final.mat ark:- ark:- |"
cp $srcdir/final.mat $srcdir/full.mat $dir
;;
*) echo "Invalid feature type $feat_type" && exit 1;
esac
## Set up model and alignment model.
mdl=$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 $sdata/JOB/text|";
$cmd JOB=1:$nj $dir/log/compile_graphs.JOB.log \
compile-train-graphs --read-disambig-syms=$lang/phones/disambig.int $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 $data 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 [ -f $data/segments ]; then
subset_utts="ark:extract-segments scp:$sdata/JOB/wav.scp $sdata/JOB/segments ark:- |"
else
echo "$0 [info]: no segments file exists: using wav.scp directly."
subset_utts="ark:wav-copy scp:$sdata/JOB/wav.scp ark:- |"
fi
## Get the first-pass LVTLN transforms
if [ $stage -le 2 ]; then
echo "$0: computing first-pass LVTLN transforms."
$cmd JOB=1:$nj $dir/log/lvtln_pass1.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-lvtln-trans --verbose=1 --spk2utt=ark:$sdata/JOB/spk2utt --logdet-scale=$logdet_scale \
$mdl $dir/final.lvtln "$sifeats" ark,s,cs:- ark:$dir/trans_pass1.JOB \
ark,t:$dir/warp_pass1.JOB || exit 1;
fi
##
feats1="$sifeats transform-feats --utt2spk=ark:$sdata/JOB/utt2spk ark:$dir/trans_pass1.JOB ark:- ark:- |"
## Do a second pass of estimating the LVTLN transform.
if [ $stage -le 3 ]; then
echo "$0: realigning with transformed features"
$cmd JOB=1:$nj $dir/log/align_pass2.JOB.log \
gmm-align-compiled $scale_opts --beam=$beam --retry-beam=$retry_beam "$mdl_cmd" \
"ark:gunzip -c $graphdir/fsts.JOB.gz|" "$feats1" "ark:|gzip -c >$dir/ali_pass2.JOB.gz" || exit 1;
fi
if [ $stage -le 4 ]; then
echo "$0: re-estimating LVTLN transforms"
$cmd JOB=1:$nj $dir/log/lvtln_pass1.JOB.log \
ali-to-post "ark:gunzip -c $dir/ali_pass2.JOB.gz|" ark:- \| \
weight-silence-post 0.0 $silphonelist $alimdl ark:- ark:- \| \
gmm-post-to-gpost $alimdl "$feats1" ark:- ark:- \| \
gmm-est-lvtln-trans --verbose=1 --spk2utt=ark:$sdata/JOB/spk2utt --logdet-scale=$logdet_scale \
$mdl $dir/final.lvtln "$sifeats" ark,s,cs:- ark:$dir/trans.JOB \
ark,t:$dir/warp.JOB || exit 1;
fi
feats="$sifeats transform-feats --utt2spk=ark:$sdata/JOB/utt2spk ark:$dir/trans.JOB ark:- ark:- |"
if [ $stage -le 5 ]; then
# This second alignment does not affect the transforms.
echo "$0: realigning with the second-pass LVTLN transforms"
$cmd JOB=1:$nj $dir/log/align.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
if [ -f $dir/warp.1 ]; then
for j in $(seq $nj); do cat $dir/warp_pass1.$j; done > $dir/0.warp || exit 1;
for j in $(seq $nj); do cat $dir/warp.$j; done > $dir/final.warp || exit 1;
ns1=$(cat $dir/0.warp | wc -l)
ns2=$(cat $dir/final.warp | wc -l)
! [ "$ns1" == "$ns2" ] && echo "$0: Number of speakers differ pass1 vs pass2, $ns1 != $ns2" && exit 1;
paste $dir/0.warp $dir/final.warp | awk '{x=$2 - $4; if ((x>0?x:-x) > 0.010001) { print $1, $2, $4; }}' > $dir/warp_changed
nc=$(cat $dir/warp_changed | wc -l)
echo "$0: For $nc speakers out of $ns1, warp changed pass1 vs pass2 by >0.01, see $dir/warp_changed for details"
fi
if true; then # Diagnostics
if [ -f $data/spk2gender ]; then
# To make it easier to eyeball the male and female speakers' warps
# separately, separate them out.
for g in m f; do # means: for gender in male female
cat $dir/final.warp | \
utils/filter_scp.pl <(grep -w $g $data/spk2gender | awk '{print $1}') > $dir/final.warp.$g
echo -n "The last few warp factors for gender $g are: "
tail -n 10 $dir/final.warp.$g | awk '{printf("%s ", $2);}';
echo
done
fi
fi
if $cleanup; then
rm $dir/pre_ali.*.gz $dir/ali_pass?.*.gz $dir/trans_pass1.* $dir/warp_pass1.* $dir/warp.*
fi
exit 0;
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