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#!/bin/bash
# Copyright 2012-2013 Karel Vesely, Daniel Povey
# Apache 2.0
# Begin configuration section.
nnet= # non-default location of DNN (optional)
feature_transform= # non-default location of feature_transform (optional)
model= # non-default location of transition model (optional)
class_frame_counts= # non-default location of PDF counts (optional)
srcdir= # non-default location of DNN-dir (decouples model dir from decode dir)
stage=0 # stage=1 skips lattice generation
nj=4
cmd=run.pl
acwt=0.10 # note: only really affects pruning (scoring is on lattices).
beam=13.0
lattice_beam=8.0
min_active=200
max_active=7000 # limit of active tokens
max_mem=50000000 # approx. limit to memory consumption during minimization in bytes
nnet_forward_opts="--prior-scale=1.0"
skip_scoring=false
scoring_opts="--min-lmwt 4 --max-lmwt 15"
num_threads=1 # if >1, will use latgen-faster-parallel
parallel_opts= # Ignored now.
use_gpu="no" # yes|no|optionaly
# 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: $0 [options] <graph-dir> <data-dir> <nerv-config> <decode-dir>"
echo "... where <decode-dir> is assumed to be a sub-directory of the directory"
echo " where the DNN and transition model is."
echo "e.g.: $0 exp/dnn1/graph_tgpr data/test config.lua exp/dnn1/decode_tgpr"
echo ""
echo "This script works on plain or modified features (CMN,delta+delta-delta),"
echo "which are then sent through feature-transform. It works out what type"
echo "of features you used from content of srcdir."
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 ""
echo " --srcdir <dir> # non-default dir with DNN/models, can be different"
echo " # from parent dir of <decode-dir>' (opt.)"
echo ""
echo " --acwt <float> # select acoustic scale for decoding"
echo " --scoring-opts <opts> # options forwarded to local/score.sh"
echo " --num-threads <N> # N>1: run multi-threaded decoder"
exit 1;
fi
graphdir=$1
data=$2
config=$3
dir=$4
[ -z $srcdir ] && srcdir=`dirname $dir`; # Default model directory one level up from decoding directory.
sdata=$data/split$nj;
mkdir -p $dir/log
[[ -d $sdata && $data/feats.scp -ot $sdata ]] || split_data.sh $data $nj || exit 1;
echo $nj > $dir/num_jobs
# Select default locations to model files (if not already set externally)
[ -z "$model" ] && model=$srcdir/final.mdl
#
[ -z "$class_frame_counts" -a -f $srcdir/prior_counts ] && class_frame_counts=$srcdir/prior_counts # priority,
[ -z "$class_frame_counts" ] && class_frame_counts=$srcdir/ali_train_pdf.counts
# Check that files exist
for f in $sdata/1/feats.scp $model $class_frame_counts $graphdir/HCLG.fst; do
[ ! -f $f ] && echo "$0: missing file $f" && exit 1;
done
# Possibly use multi-threaded decoder
thread_string=
[ $num_threads -gt 1 ] && thread_string="-parallel --num-threads=$num_threads"
# PREPARE FEATURE EXTRACTION PIPELINE
# import config,
cmvn_opts=
delta_opts=
D=$srcdir
[ -e $D/norm_vars ] && cmvn_opts="--norm-means=true --norm-vars=$(cat $D/norm_vars)" # Bwd-compatibility,
[ -e $D/cmvn_opts ] && cmvn_opts=$(cat $D/cmvn_opts)
[ -e $D/delta_order ] && delta_opts="--delta-order=$(cat $D/delta_order)" # Bwd-compatibility,
[ -e $D/delta_opts ] && delta_opts=$(cat $D/delta_opts)
#
# Create the feature stream,
feats="ark,s,cs:copy-feats scp:$sdata/JOB/feats.scp ark:- |"
# apply-cmvn (optional),
[ ! -z "$cmvn_opts" -a ! -f $sdata/1/cmvn.scp ] && echo "$0: Missing $sdata/1/cmvn.scp" && exit 1
[ ! -z "$cmvn_opts" ] && feats="$feats apply-cmvn $cmvn_opts --utt2spk=ark:$sdata/JOB/utt2spk scp:$sdata/JOB/cmvn.scp ark:- ark:- |"
# add-deltas (optional),
[ ! -z "$delta_opts" ] && feats="$feats add-deltas $delta_opts ark:- ark:- |"
#
# Run the decoding in the queue,
if [ $stage -le 0 ]; then
$cmd --num-threads $((num_threads+1)) JOB=1:$nj $dir/log/decode.JOB.log \
./src/nnet-forward $nnet_forward_opts --class-frame-counts=$class_frame_counts --use-gpu=$use_gpu $config "$feats" ark:- \| \
latgen-faster-mapped$thread_string --min-active=$min_active --max-active=$max_active --max-mem=$max_mem --beam=$beam \
--lattice-beam=$lattice_beam --acoustic-scale=$acwt --allow-partial=true --word-symbol-table=$graphdir/words.txt \
$model $graphdir/HCLG.fst ark:- "ark:|gzip -c > $dir/lat.JOB.gz" || exit 1;
fi
# Run the scoring
if ! $skip_scoring ; then
[ ! -x local/score.sh ] && \
echo "Not scoring because local/score.sh does not exist or not executable." && exit 1;
local/score.sh $scoring_opts --cmd "$cmd" $data $graphdir $dir || exit 1;
fi
exit 0;
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