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-rwxr-xr-xkaldi_io/tools/convert_from_kaldi_pretrain.sh4
1 files changed, 3 insertions, 1 deletions
diff --git a/kaldi_io/tools/convert_from_kaldi_pretrain.sh b/kaldi_io/tools/convert_from_kaldi_pretrain.sh
index 78f532f..81fe840 100755
--- a/kaldi_io/tools/convert_from_kaldi_pretrain.sh
+++ b/kaldi_io/tools/convert_from_kaldi_pretrain.sh
@@ -17,12 +17,13 @@ dir=$6
[[ -z $data_fmllr ]] && data_fmllr=data-fmllr-tri3
[[ -z $alidir ]] && alidir=exp/tri3_ali
-[[ -z $dir ]] && dir=exp/dnn4_nerv_prepare
+[[ -z $dir ]] && dir=exp/dnn4_nerv_dnn
[[ -z $data ]] && data=$data_fmllr/train_tr90
[[ -z $data_cv ]] && data_cv=$data_fmllr/train_cv10
kaldi_to_nerv=$nerv_kaldi/tools/kaldi_to_nerv
mkdir $dir -p
mkdir $dir/log -p
+
###### PREPARE DATASETS ######
cp $data/feats.scp $dir/train_sorted.scp
cp $data_cv/feats.scp $dir/cv.scp
@@ -44,6 +45,7 @@ nnet-initialize --binary=false $nnet_proto $nnet_init
$kaldi_to_nerv $nnet_init $dir/nnet_output.nerv $hid_num
$kaldi_to_nerv <(nnet-copy --binary=false $pretrain_dir/${hid_num}.dbn -) $dir/nnet_init.nerv
$kaldi_to_nerv <(nnet-copy --binary=false $pretrain_dir/final.feature_transform -) $dir/nnet_trans.nerv
+
###### PREPARE FOR DECODING #####
echo "Using PDF targets from dirs '$alidir' '$alidir_cv'"
# training targets in posterior format,