make_fmllr_feats.sh
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#!/bin/bash
# Copyright 2012 Karel Vesely
# Johns Hopkins University (Author: Daniel Povey),
#
# Apache 2.0.
# This script is for use in neural network training and testing; it dumps
# (LDA+MLLT or splice+delta) + fMLLR features in a similar format to
# conventional raw MFCC features.
# Begin configuration section.
nj=4
cmd=run.pl
transform_dir=
norm_vars=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 [ $# != 5 ]; then
echo "Usage: $0 [options] <tgt-data-dir> <src-data-dir> <gmm-dir> <log-dir> <fea-dir>"
echo "e.g.: $0 data-fmllr/train data/train exp/tri5a exp/make_fmllr_feats/log plp/processed/"
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 " --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; 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 $feat_type in
delta) feats="ark,s,cs:apply-cmvn --norm-vars=$norm_vars --utt2spk=ark:$sdata/JOB/utt2spk scp:$sdata/JOB/cmvn.scp scp:$sdata/JOB/feats.scp ark:- | add-deltas ark:- ark:- |";;
lda) feats="ark,s,cs:apply-cmvn --norm-vars=$norm_vars --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." && exit 1
# [ "`cat $transform_dir/num_jobs`" -ne $nj ] && \
# echo "Mismatch in number of jobs with $transform_dir" && exit 1;
# feats="$feats transform-feats --utt2spk=ark:$sdata/JOB/utt2spk ark:$transform_dir/trans.JOB ark:- ark:- |"
feats="$feats transform-feats --utt2spk=ark:$sdata/JOB/utt2spk \"ark:cat $transform_dir/trans.* |\" ark:- ark:- |"
fi
#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}`
name=`basename $data`
#forward the feats
$cmd JOB=1:$nj $logdir/make_fmllr_feats.JOB.log \
copy-feats "$feats" \
ark,scp:$feadir/feats_fmllr_$name.JOB.ark,$feadir/feats_fmllr_$name.JOB.scp || exit 1;
#merge the feats to single SCP
for n in $(seq 1 $nj); do
cat $feadir/feats_fmllr_$name.$n.scp
done > $data/feats.scp
echo "$0 finished... $srcdata -> $data ($gmmdir)"
exit 0;