#!/bin/bash # Copyright 2012-2013 Johns Hopkins University (Author: Daniel Povey) # 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. norm_vars=false # 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 [ $# != 4 ]; then echo "usage: steps/align_fmllr.sh " echo "e.g.: steps/align_fmllr.sh data/train data/lang exp/tri1 exp/tri1_ali" echo "main options (for others, see top of script file)" echo " --config # config containing options" echo " --nj # number of parallel jobs" echo " --use-graphs true # use graphs in src-dir" echo " --cmd (utils/run.pl|utils/queue.pl ) # how to run jobs." 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 mkdir -p $dir/log echo $nj > $dir/num_jobs [[ -d $sdata && $data/feats.scp -ot $sdata ]] || split_data.sh $data $nj || exit 1; cp $srcdir/{tree,final.mdl} $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. if [[ ! -f $srcdir/final.mat || ! -f $srcdir/full.mat ]]; then echo "$0: we require final.mat and full.mat in the source directory $srcdir" fi full_lda_mat="get-full-lda-mat --print-args=false $srcdir/final.mat $srcdir/full.mat -|" cp $srcdir/full.mat $srcdir/final.mat $dir splicedfeats="ark,s,cs:apply-cmvn --norm-vars=$norm_vars --utt2spk=ark:$sdata/JOB/utt2spk scp:$sdata/JOB/cmvn.scp scp:$sdata/JOB/feats.scp ark:- | splice-feats $splice_opts ark:- ark:- |" sifeats="$splicedfeats transform-feats $srcdir/final.mat ark:- ark:- |" ## Set up model and alignment model. mdl=$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 $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 [ $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-raw-gpost --spk2utt=ark:$sdata/JOB/spk2utt \ $mdl "$full_lda_mat" "$splicedfeats" ark,s,cs:- ark:$dir/raw_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 $alimdl ark:- ark:- \| \ gmm-est-fmllr-raw --spk2utt=ark:$sdata/JOB/spk2utt $mdl "$full_lda_mat" \ "$splicedfeats" ark,s,cs:- ark:$dir/raw_trans.JOB || exit 1; fi fi 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:- | transform-feats --utt2spk=ark:$sdata/JOB/utt2spk ark:$dir/raw_trans.JOB ark:- ark:- | splice-feats $splice_opts ark:- ark:- | transform-feats $srcdir/final.mat 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;