Blame view
Scripts/steps/make_denlats_sgmm2.sh
7.26 KB
ec85f8892 first commit |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 |
#!/bin/bash # Copyright 2012 Johns Hopkins University (Author: Daniel Povey). Apache 2.0. # Create denominator lattices for MMI/MPE training, with SGMM models. If the # features have fMLLR transforms you have to supply the --transform-dir option. # It gets any speaker vectors from the "alignment dir" ($alidir). Note: this is # possibly a slight mismatch because the speaker vectors come from supervised # adaptation. # Begin configuration section. nj=4 cmd=run.pl sub_split=1 beam=13.0 lattice_beam=7.0 acwt=0.1 max_active=5000 transform_dir= max_mem=20000000 # This will stop the processes getting too large. num_threads=1 parallel_opts= # 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: steps/make_denlats_sgmm2.sh [options] <data-dir> <lang-dir> <src-dir|alidir> <exp-dir>" echo " e.g.: steps/make_denlats_sgmm2.sh data/train data/lang exp/sgmm4a_ali exp/sgmm4a_denlats" echo "Works for (delta|lda) features, and (with --transform-dir option) such features" echo " plus transforms." 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 " --sub-split <n-split> # e.g. 40; use this for " echo " # large databases so your jobs will be smaller and" echo " # will (individually) finish reasonably soon." echo " --transform-dir <transform-dir> # directory to find fMLLR transforms." echo " --num-threads <n> # number of threads per decoding job" echo " --parallel-opts <string> # if >1 thread, add this to 'cmd', e.g. -pe smp 6" exit 1; fi data=$1 lang=$2 alidir=$3 # could also be $srcdir, but only if no vectors supplied. dir=$4 sdata=$data/split$nj splice_opts=`cat $alidir/splice_opts 2>/dev/null` if [ $num_threads -gt 1 ]; then # the -parallel becomes part of the binary name we decode with. thread_string="-parallel --num-threads=$num_threads" fi mkdir -p $dir/log [[ -d $sdata && $data/feats.scp -ot $sdata ]] || split_data.sh $data $nj || exit 1; echo $nj > $dir/num_jobs oov=`cat $lang/oov.int` || exit 1; mkdir -p $dir cp -r $lang $dir/ # Compute grammar FST which corresponds to unigram decoding graph. new_lang="$dir/"$(basename "$lang") echo "Making unigram grammar FST in $new_lang" cat $data/text | utils/sym2int.pl --map-oov $oov -f 2- $lang/words.txt | \ awk '{for(n=2;n<=NF;n++){ printf("%s ", $n); } printf(" "); }' | \ utils/make_unigram_grammar.pl | fstcompile > $new_lang/G.fst \ || exit 1; # mkgraph.sh expects a whole directory "lang", so put everything in one directory... # it gets L_disambig.fst and G.fst (among other things) from $dir/lang, and # final.mdl from $alidir; the output HCLG.fst goes in $dir/graph. echo "Compiling decoding graph in $dir/dengraph" if [ -s $dir/dengraph/HCLG.fst ] && [ $dir/dengraph/HCLG.fst -nt $srcdir/final.mdl ]; then echo "Graph $dir/dengraph/HCLG.fst already exists: skipping graph creation." else utils/mkgraph.sh $new_lang $alidir $dir/dengraph || exit 1; fi if [ -f $alidir/final.mat ]; then feat_type=lda; else feat_type=delta; fi echo "align_si.sh: feature type is $feat_type" case $feat_type in delta) feats="ark,s,cs:apply-cmvn --norm-vars=false --utt2spk=ark:$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=false --utt2spk=ark:$sdata/JOB/utt2spk scp:$sdata/JOB/cmvn.scp scp:$sdata/JOB/feats.scp ark:- | splice-feats $splice_opts ark:- ark:- | transform-feats $alidir/final.mat ark:- ark:- |" cp $alidir/final.mat $dir ;; *) echo "Invalid feature type $feat_type" && exit 1; esac if [ ! -z "$transform_dir" ]; then # add transforms to features... echo "$0: using fMLLR transforms from $transform_dir" [ ! -f $transform_dir/trans.1 ] && echo "Expected $transform_dir/trans.1 to exist." [ "`cat $transform_dir/num_jobs`" -ne "$nj" ] \ && echo "$0: mismatch in number of jobs with $transform_dir" && exit 1; [ -f $alidir/final.mat ] && ! cmp $transform_dir/final.mat $alidir/final.mat && \ echo "$0: LDA transforms differ between $alidir and $transform_dir" feats="$feats transform-feats --utt2spk=ark:$sdata/JOB/utt2spk ark:$transform_dir/trans.JOB ark:- ark:- |" else echo "Assuming you don't have a SAT system, since no --transform-dir option supplied " fi if [ -f $alidir/gselect.1.gz ]; then gselect_opt="--gselect=ark,s,cs:gunzip -c $alidir/gselect.JOB.gz|" else echo "$0: no such file $alidir/gselect.1.gz" && exit 1; fi if [ -f $alidir/vecs.1 ]; then spkvecs_opt="--spk-vecs=ark:$alidir/vecs.JOB --utt2spk=ark:$sdata/JOB/utt2spk" [ "`cat $alidir/num_jobs`" -ne "$nj" ] \ && echo "$0: mismatch in number of jobs with $alidir" && exit 1; else if [ -f $alidir/final.alimdl ]; then echo "$0: You seem to have an SGMM system with speaker vectors," echo "yet we can't find speaker vectors. Perhaps you supplied" echo "the model director instead of the alignment directory?" exit 1; fi fi if [ $sub_split -eq 1 ]; then $cmd $parallel_opts JOB=1:$nj $dir/log/decode_den.JOB.log \ sgmm2-latgen-faster$thread_string $spkvecs_opt "$gselect_opt" --beam=$beam \ --lattice-beam=$lattice_beam --acoustic-scale=$acwt \ --max-mem=$max_mem --max-active=$max_active --word-symbol-table=$lang/words.txt $alidir/final.mdl \ $dir/dengraph/HCLG.fst "$feats" "ark:|gzip -c >$dir/lat.JOB.gz" || exit 1; else for n in `seq $nj`; do if [ -f $dir/.done.$n ] && [ $dir/.done.$n -nt $alidir/final.mdl ]; then echo "Not processing subset $n as already done (delete $dir/.done.$n if not)"; else sdata2=$data/split$nj/$n/split$sub_split; if [ ! -d $sdata2 ] || [ $sdata2 -ot $sdata/$n/feats.scp ]; then split_data.sh --per-utt $sdata/$n $sub_split || exit 1; fi mkdir -p $dir/log/$n mkdir -p $dir/part feats_subset=`echo $feats | sed "s/trans.JOB/trans.$n/g" | sed s:JOB/:$n/split$sub_split/JOB/:g` spkvecs_opt_subset=`echo $spkvecs_opt | sed "s/JOB/$n/g"` gselect_opt_subset=`echo $gselect_opt | sed "s/JOB/$n/g"` $cmd $parallel_opts JOB=1:$sub_split $dir/log/$n/decode_den.JOB.log \ sgmm2-latgen-faster$thread_string $spkvecs_opt_subset "$gselect_opt_subset" \ --beam=$beam --lattice-beam=$lattice_beam \ --acoustic-scale=$acwt --max-mem=$max_mem --max-active=$max_active \ --word-symbol-table=$lang/words.txt $alidir/final.mdl \ $dir/dengraph/HCLG.fst "$feats_subset" "ark:|gzip -c >$dir/lat.$n.JOB.gz" || exit 1; echo Merging archives for data subset $n rm $dir/.error 2>/dev/null; for k in `seq $sub_split`; do gunzip -c $dir/lat.$n.$k.gz || touch $dir/.error; done | gzip -c > $dir/lat.$n.gz || touch $dir/.error; [ -f $dir/.error ] && echo Merging lattices for subset $n failed && exit 1; rm $dir/lat.$n.*.gz touch $dir/.done.$n fi done fi echo "$0: done generating denominator lattices with SGMMs." |