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egs/wsj/s5/steps/cleanup/decode_segmentation.sh
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#!/bin/bash # Copyright 2014 Guoguo Chen, 2015 GoVivace Inc. (Nagendra Goel) # 2017 Vimal Manohar # Apache 2.0 # Some basic error checking, similar to steps/decode.sh is added. set -e set -o pipefail # Begin configuration section. transform_dir= # this option won't normally be used, but it can be used if you # want to supply existing fMLLR transforms when decoding. iter= model= # You can specify the model to use (e.g. if you want to use the .alimdl) stage=0 nj=4 cmd=run.pl max_active=7000 beam=13.0 lattice_beam=6.0 acwt=0.083333 # note: only really affects pruning (scoring is on lattices). num_threads=1 # if >1, will use gmm-latgen-faster-parallel parallel_opts= # ignored now. scoring_opts= allow_partial=true # note: there are no more min-lmwt and max-lmwt options, instead use # e.g. --scoring-opts "--min-lmwt 1 --max-lmwt 20" skip_scoring=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 [ $# != 3 ]; then echo "$0: This is a special decoding script for segmentation where we" echo "use one decoding graph per segment. We assume a file HCLG.fsts.scp exists" echo "which is the scp file of the graphs for each segment." echo "This will normally be obtained by steps/cleanup/make_biased_lm_graphs.sh." echo "This script does not estimate fMLLR transforms; you have to use" echo "the --transform-dir option if you want to use fMLLR." echo "" echo "Usage: $0 [options] <graph-dir> <data-dir> <decode-dir>" echo " e.g.: $0 exp/tri2b/graph_train_si284_split \\" echo " data/train_si284_split exp/tri2b/decode_train_si284_split" echo "" echo "where <decode-dir> is assumed to be a sub-directory of the directory" echo "where the model is." 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 " --iter <iter> # Iteration of model to test." echo " --model <model> # which model to use (e.g. to" echo " # specify the final.alimdl)" echo " --cmd (utils/run.pl|utils/queue.pl <queue opts>) # how to run jobs." echo " --transform-dir <trans-dir> # dir to find fMLLR transforms " echo " --acwt <float> # acoustic scale used for lattice generation " echo " --scoring-opts <string> # options to local/score.sh" echo " --num-threads <n> # number of threads to use, default 1." exit 1; fi graphdir=$1 data=$2 dir=$3 mkdir -p $dir/log if [ -e $dir/final.mdl ]; then srcdir=$dir elif [ -e $dir/../final.mdl ]; then srcdir=$(dirname $dir) else echo "$0: expected either $dir/final.mdl or $dir/../final.mdl to exist" exit 1 fi sdata=$data/split$nj; [[ -d $sdata && $data/feats.scp -ot $sdata ]] || split_data.sh $data $nj || exit 1; echo $nj > $dir/num_jobs if [ -z "$model" ]; then # if --model <mdl> was not specified on the command line... if [ -z $iter ]; then model=$srcdir/final.mdl; else model=$srcdir/$iter.mdl; fi fi if [ $(basename $model) != final.alimdl ] ; then # Do not use the $srcpath -- look at the path where the model is if [ -f $(dirname $model)/final.alimdl ] && [ -z "$transform_dir" ]; then echo -e ' ' echo $0 'WARNING: Running speaker independent system decoding using a SAT model!' echo $0 'WARNING: This is OK if you know what you are doing...' echo -e ' ' fi fi for f in $sdata/1/feats.scp $sdata/1/cmvn.scp $model $graphdir/HCLG.fsts.scp; do [ ! -f $f ] && echo "$0: no such file $f" && exit 1; done utils/lang/check_phones_compatible.sh $graphdir/phones.txt $srcdir/phones.txt # Split HCLG.fsts.scp by input utterance n1=$(cat $graphdir/HCLG.fsts.scp | wc -l) n2=$(cat $data/feats.scp | wc -l) if [ $n1 != $n2 ]; then echo "$0: expected $n2 graphs in $graphdir/HCLG.fsts.scp, got $n1" fi mkdir -p $dir/split_fsts sort -k1,1 $graphdir/HCLG.fsts.scp > $dir/HCLG.fsts.sorted.scp utils/filter_scps.pl --no-warn -f 1 JOB=1:$nj \ $sdata/JOB/feats.scp $dir/HCLG.fsts.sorted.scp $dir/split_fsts/HCLG.fsts.JOB.scp HCLG=scp:$dir/split_fsts/HCLG.fsts.JOB.scp if [ -f $srcdir/final.mat ]; then feat_type=lda; else feat_type=delta; fi echo "$0: feature type is $feat_type"; splice_opts=`cat $srcdir/splice_opts 2>/dev/null` || true # frame-splicing options. cmvn_opts=`cat $srcdir/cmvn_opts 2>/dev/null` || true delta_opts=`cat $srcdir/delta_opts 2>/dev/null` || true thread_string= [ $num_threads -gt 1 ] && thread_string="-parallel --num-threads=$num_threads" case $feat_type in delta) feats="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 $delta_opts ark:- ark:- |";; lda) feats="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:- |";; *) 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 [ ! -s $transform_dir/num_jobs ] && \ echo "$0: expected $transform_dir/num_jobs to contain the number of jobs." && exit 1; nj_orig=$(cat $transform_dir/num_jobs) if [ $nj -ne $nj_orig ]; then # Copy the transforms into an archive with an index. echo "$0: num-jobs for transforms mismatches, so copying them." for n in $(seq $nj_orig); do cat $transform_dir/trans.$n; done | \ copy-feats ark:- ark,scp:$dir/trans.ark,$dir/trans.scp || exit 1; feats="$feats transform-feats --utt2spk=ark:$sdata/JOB/utt2spk scp:$dir/trans.scp ark:- ark:- |" else # number of jobs matches with alignment dir. feats="$feats transform-feats --utt2spk=ark:$sdata/JOB/utt2spk ark:$transform_dir/trans.JOB ark:- ark:- |" fi fi if [ $stage -le 0 ]; then if [ -f "$graphdir/num_pdfs" ]; then [ "`cat $graphdir/num_pdfs`" -eq `am-info --print-args=false $model | grep pdfs | awk '{print $NF}'` ] || \ { echo "Mismatch in number of pdfs with $model"; exit 1; } fi $cmd --num-threads $num_threads JOB=1:$nj $dir/log/decode.JOB.log \ gmm-latgen-faster$thread_string --max-active=$max_active --beam=$beam --lattice-beam=$lattice_beam \ --acoustic-scale=$acwt --allow-partial=$allow_partial --word-symbol-table=$graphdir/words.txt \ $model "$HCLG" "$feats" "ark:|gzip -c > $dir/lat.JOB.gz" || exit 1; fi if ! $skip_scoring ; then [ ! -x local/score.sh ] && \ echo "$0: Not scoring because local/score.sh does not exist or not executable." && exit 1; local/score.sh --cmd "$cmd" $scoring_opts $data $graphdir $dir || { echo "$0: Scoring failed. (ignore by '--skip-scoring true')"; exit 1; } fi exit 0; |