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Diffstat (limited to 'kaldi_decode/decode_with_nerv.sh')
| -rwxr-xr-x | kaldi_decode/decode_with_nerv.sh | 134 |
1 files changed, 134 insertions, 0 deletions
diff --git a/kaldi_decode/decode_with_nerv.sh b/kaldi_decode/decode_with_nerv.sh new file mode 100755 index 0000000..5554b2e --- /dev/null +++ b/kaldi_decode/decode_with_nerv.sh @@ -0,0 +1,134 @@ +#!/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="--apply-log=true" # IMPORTANT, to apply log before to substract log-prior, and to know the modified 'nnet-forward' removed '--no-softmax' option + +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 + +cmvn_opts= +splice_opts= +delta_opts= + +asr_propagator= +nnet_forward= +# 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-model-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 +model_conf=$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, +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 $D/splice_opts ] && splice_opts=$(cat $D/splice_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:$sdata/JOB/cmvn.scp ark:- ark:- |" +# splice-opts (optional), +[ ! -z "$splice_opts" ] && feats="$feats splice-feats $splice_opts ark:- ark:- |" +# add-deltas (optional), +[ ! -z "$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 \ +# remove multi-threads to avoid smp requirement + $cmd --num-threads $((num_threads)) JOB=1:$nj $dir/log/decode.JOB.log \ + $nnet_forward $nnet_forward_opts --class-frame-counts=$class_frame_counts --use-gpu=$use_gpu $model_conf "$feats" ark:- $asr_propagator \| \ + latgen-faster-mapped$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; |