Commit cd8307ca authored by Ho Yin Chan's avatar Ho Yin Chan
Browse files

trunk:egs/hkust update on recent DNN experiments and results

git-svn-id: https://svn.code.sf.net/p/kaldi/code/trunk@2977 5e6a8d80-dfce-4ca6-a32a-6e07a63d50c8
parent f45db7b2
### 16k wordlist partial close LM ### 16k wordlist partial close LM
tri1/decode_eval/cer_10:%CER 50.28 [ 3802 / 7562, 1547 ins, 403 del, 1852 sub ] # triphone tri1/decode_eval/cer_10:%CER 50.28 [ 3802 / 7562, 1547 ins, 403 del, 1852 sub ] # triphones
tri2/decode_eval/cer_10:%CER 47.09 [ 3561 / 7562, 1405 ins, 414 del, 1742 sub ] # triphone (better alignment) tri2/decode_eval/cer_10:%CER 47.09 [ 3561 / 7562, 1405 ins, 414 del, 1742 sub ] # triphones (better alignment)
tri3a/decode_eval/cer_10:%CER 44.18 [ 3341 / 7562, 1113 ins, 441 del, 1787 sub ] # LDA+MLLT tri3a/decode_eval/cer_10:%CER 44.18 [ 3341 / 7562, 1113 ins, 441 del, 1787 sub ] # LDA+MLLT
tri4a/decode_eval/cer_10:%CER 30.23 [ 2286 / 7562, 530 ins, 492 del, 1264 sub ] # LDA+MLLT+SAT tri4a/decode_eval/cer_10:%CER 30.23 [ 2286 / 7562, 530 ins, 492 del, 1264 sub ] # LDA+MLLT+SAT
tri4a_20k/decode_eval/cer_10:%CER 32.43 [ 2452 / 7562, 537 ins, 480 del, 1435 sub ] # LDA+MLLF+SAT (small system) tri4a_20k/decode_eval/cer_10:%CER 32.43 [ 2452 / 7562, 537 ins, 480 del, 1435 sub ] # LDA+MLLF+SAT (small system)
...@@ -43,9 +43,10 @@ nnet_8m_6l/decode_eval_iter290/cer_10:%CER 26.37 [ 1994 / 7562, 410 ins, 572 del ...@@ -43,9 +43,10 @@ nnet_8m_6l/decode_eval_iter290/cer_10:%CER 26.37 [ 1994 / 7562, 410 ins, 572 del
nnet_8m_6l/decode_eval/cer_10:%CER 25.55 [ 1932 / 7562, 405 ins, 549 del, 978 sub ] # 6 layers neural network nnet_8m_6l/decode_eval/cer_10:%CER 25.55 [ 1932 / 7562, 405 ins, 549 del, 978 sub ] # 6 layers neural network
tri5a_pretrain-dbn_dnn/decode/cer_10:%CER 20.48 [ 1549 / 7562, 383 ins, 468 del, 698 sub ] # pretrained RBM, cross entropy trained DNN tri5a_pretrain-dbn_dnn/decode/cer_10:%CER 20.48 [ 1549 / 7562, 383 ins, 468 del, 698 sub ] # pretrained RBM, cross entropy trained DNN
tri5a_pretrain-dbn_dnn_smbr/decode_it1/cer_10:%CER 18.73 [ 1416 / 7562, 306 ins, 453 del, 657 sub ] # sMBR trained DNN tri5a_pretrain-dbn_dnn_smbr/decode_it1/cer_10:%CER 18.73 [ 1416 / 7562, 306 ins, 453 del, 657 sub ] # sMBR trained DNN
tri5a_pretrain-dbn_dnn_smbr/decode_it2/cer_10:%CER 18.73 [ 1416 / 7562, 310 ins, 446 del, 660 sub ] tri5a_pretrain-dbn_dnn_smbr/decode_it2/cer_10:%CER 18.73 [ 1416 / 7562, 310 ins, 446 del, 660 sub ]
tri5a_pretrain-dbn_dnn_smbr/decode_it3/cer_10:%CER 18.62 [ 1408 / 7562, 313 ins, 446 del, 649 sub ] tri5a_pretrain-dbn_dnn_smbr/decode_it3/cer_10:%CER 18.62 [ 1408 / 7562, 313 ins, 446 del, 649 sub ]
tri5a_pretrain-dbn_dnn_smbr/decode_it4/cer_10:%CER 18.66 [ 1411 / 7562, 307 ins, 458 del, 646 sub ]
...@@ -96,5 +97,6 @@ tri5a_pretrain-dbn_dnn/decode_closelm/cer_10:%CER 16.54 [ 1251 / 7562, 346 ins, ...@@ -96,5 +97,6 @@ tri5a_pretrain-dbn_dnn/decode_closelm/cer_10:%CER 16.54 [ 1251 / 7562, 346 ins,
tri5a_pretrain-dbn_dnn_smbr/decode_closelm_it1/cer_10:%CER 15.31 [ 1158 / 7562, 280 ins, 410 del, 468 sub ] tri5a_pretrain-dbn_dnn_smbr/decode_closelm_it1/cer_10:%CER 15.31 [ 1158 / 7562, 280 ins, 410 del, 468 sub ]
tri5a_pretrain-dbn_dnn_smbr/decode_closelm_it2/cer_10:%CER 15.30 [ 1157 / 7562, 279 ins, 408 del, 470 sub ] tri5a_pretrain-dbn_dnn_smbr/decode_closelm_it2/cer_10:%CER 15.30 [ 1157 / 7562, 279 ins, 408 del, 470 sub ]
tri5a_pretrain-dbn_dnn_smbr/decode_closelm_it3/cer_10:%CER 15.52 [ 1174 / 7562, 280 ins, 408 del, 486 sub ] tri5a_pretrain-dbn_dnn_smbr/decode_closelm_it3/cer_10:%CER 15.52 [ 1174 / 7562, 280 ins, 408 del, 486 sub ]
tri5a_pretrain-dbn_dnn_smbr/decode_closelm_it4/cer_10:%CER 15.62 [ 1181 / 7562, 278 ins, 412 del, 491 sub ]
...@@ -149,7 +149,7 @@ steps/decode_nnet.sh --nj 2 --cmd "$decode_cmd" --config conf/decode_dnn.config ...@@ -149,7 +149,7 @@ steps/decode_nnet.sh --nj 2 --cmd "$decode_cmd" --config conf/decode_dnn.config
steps/decode_nnet.sh --nj 2 --cmd "$decode_cmd" --config conf/decode_dnn.config --acwt 0.1 exp/tri5a/graph_closelm data-fmllr-tri5a/test $dir/decode_closelm || exit 1; steps/decode_nnet.sh --nj 2 --cmd "$decode_cmd" --config conf/decode_dnn.config --acwt 0.1 exp/tri5a/graph_closelm data-fmllr-tri5a/test $dir/decode_closelm || exit 1;
# decoding using DNN with sequence discriminative training (sMBR criterion) # decoding using DNN with sequence discriminative training (sMBR criterion)
dir=exp/tri5a_pretrain-dbn_dnn_smbr dir=exp/tri5a_pretrain-dbn_dnn_smbr
for ITER in 1 2 3; do for ITER in 1 2 3 4; do
steps/decode_nnet.sh --nj 2 --cmd "$decode_cmd" --config conf/decode_dnn.config --nnet $dir/${ITER}.nnet --acwt 0.1 exp/tri5a/graph data-fmllr-tri5a/test $dir/decode_it${ITER} & steps/decode_nnet.sh --nj 2 --cmd "$decode_cmd" --config conf/decode_dnn.config --nnet $dir/${ITER}.nnet --acwt 0.1 exp/tri5a/graph data-fmllr-tri5a/test $dir/decode_it${ITER} &
steps/decode_nnet.sh --nj 2 --cmd "$decode_cmd" --config conf/decode_dnn.config --nnet $dir/${ITER}.nnet --acwt 0.1 exp/tri5a/graph_closelm data-fmllr-tri5a/test $dir/decode_closelm_it${ITER} & steps/decode_nnet.sh --nj 2 --cmd "$decode_cmd" --config conf/decode_dnn.config --nnet $dir/${ITER}.nnet --acwt 0.1 exp/tri5a/graph_closelm data-fmllr-tri5a/test $dir/decode_closelm_it${ITER} &
done done
...@@ -202,7 +202,7 @@ done ...@@ -202,7 +202,7 @@ done
local/ext/score.sh data/eval exp/tri5a/graph exp/tri5a_pretrain-dbn_dnn/decode local/ext/score.sh data/eval exp/tri5a/graph exp/tri5a_pretrain-dbn_dnn/decode
local/ext/score.sh data/eval exp/tri5a/graph_closelm exp/tri5a_pretrain-dbn_dnn/decode_closelm local/ext/score.sh data/eval exp/tri5a/graph_closelm exp/tri5a_pretrain-dbn_dnn/decode_closelm
for ITER in 1 2 3; do for ITER in 1 2 3 4; do
local/ext/score.sh data/eval exp/tri5a/graph exp/tri5a_pretrain-dbn_dnn_smbr/decode_it${ITER} local/ext/score.sh data/eval exp/tri5a/graph exp/tri5a_pretrain-dbn_dnn_smbr/decode_it${ITER}
local/ext/score.sh data/eval exp/tri5a/graph_closelm exp/tri5a_pretrain-dbn_dnn_smbr/decode_closelm_it${ITER} local/ext/score.sh data/eval exp/tri5a/graph_closelm exp/tri5a_pretrain-dbn_dnn_smbr/decode_closelm_it${ITER}
done done
......
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