Yannick Estève / ONTRAC-Kaldi

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egs/aurora4/s5/local/run_sgmm2.sh 7.12 KB
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8dcb6dfcb   Yannick Estève   first commit 
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  #!/bin/bash
  
  # This script is invoked from ../run.sh
  # It contains some SGMM-related scripts that I am breaking out of the main run.sh for clarity.
  
  . ./cmd.sh
  
  # Note: you might want to try to give the option --spk-dep-weights=false to train_sgmm2.sh;
  # this takes out the "symmetric SGMM" part which is not always helpful.
  
  # SGMM system on si84 data [sgmm5a].  Note: the system we aligned from used the si284 data for
  # training, but this shouldn't have much effect.
  
  (
    steps/align_fmllr.sh --nj 30 --cmd "$train_cmd" \
      data/train_si84 data/lang exp/tri4b exp/tri4b_ali_si84 || exit 1;
  
    steps/train_ubm.sh --cmd "$train_cmd" \
      400 data/train_si84 data/lang exp/tri4b_ali_si84 exp/ubm5a || exit 1;
  
    steps/train_sgmm2.sh --cmd "$train_cmd" \
      7000 9000 data/train_si84 data/lang exp/tri4b_ali_si84 \
      exp/ubm5a/final.ubm exp/sgmm2_5a || exit 1;
  
    (
      utils/mkgraph.sh data/lang_test_tgpr exp/sgmm2_5a exp/sgmm2_5a/graph_tgpr
      steps/decode_sgmm2.sh --nj 10 --cmd "$decode_cmd" --transform-dir exp/tri4b/decode_tgpr_dev93 \
        exp/sgmm2_5a/graph_tgpr data/test_dev93 exp/sgmm2_5a/decode_tgpr_dev93
    ) &
  
    steps/align_sgmm2.sh --nj 30 --cmd "$train_cmd" --transform-dir exp/tri4b_ali_si84 \
      --use-graphs true --use-gselect true data/train_si84 data/lang exp/sgmm2_5a exp/sgmm2_5a_ali_si84 || exit 1;
    steps/make_denlats_sgmm2.sh --nj 30 --sub-split 30 --cmd "$decode_cmd" --transform-dir exp/tri4b_ali_si84 \
      data/train_si84 data/lang exp/sgmm2_5a_ali_si84 exp/sgmm2_5a_denlats_si84
  
    steps/train_mmi_sgmm2.sh --cmd "$decode_cmd" --transform-dir exp/tri4b_ali_si84 --boost 0.1 \
      data/train_si84 data/lang exp/sgmm2_5a_ali_si84 exp/sgmm2_5a_denlats_si84 exp/sgmm2_5a_mmi_b0.1
  
    for iter in 1 2 3 4; do
      steps/decode_sgmm2_rescore.sh --cmd "$decode_cmd" --iter $iter \
        --transform-dir exp/tri4b/decode_tgpr_dev93 data/lang_test_tgpr data/test_dev93 exp/sgmm2_5a/decode_tgpr_dev93 \
        exp/sgmm2_5a_mmi_b0.1/decode_tgpr_dev93_it$iter &
    done
  
    steps/train_mmi_sgmm2.sh --cmd "$decode_cmd" --transform-dir exp/tri4b_ali_si84 --boost 0.1 \
     --update-opts "--cov-min-value=0.9" data/train_si84 data/lang exp/sgmm2_5a_ali_si84 exp/sgmm2_5a_denlats_si84 exp/sgmm2_5a_mmi_b0.1_m0.9
  
    for iter in 1 2 3 4; do
      steps/decode_sgmm2_rescore.sh --cmd "$decode_cmd" --iter $iter \
        --transform-dir exp/tri4b/decode_tgpr_dev93 data/lang_test_tgpr data/test_dev93 exp/sgmm2_5a/decode_tgpr_dev93 \
        exp/sgmm2_5a_mmi_b0.1_m0.9/decode_tgpr_dev93_it$iter &
    done
  
  ) &
  
  
  (
  # The next commands are the same thing on all the si284 data.
  
  # SGMM system on the si284 data [sgmm5b]
    steps/train_ubm.sh --cmd "$train_cmd" \
      600 data/train_si284 data/lang exp/tri4b_ali_si284 exp/ubm5b || exit 1;
  
    steps/train_sgmm2.sh --cmd "$train_cmd" \
     11000 25000 data/train_si284 data/lang exp/tri4b_ali_si284 \
      exp/ubm5b/final.ubm exp/sgmm2_5b || exit 1;
  
    (
      utils/mkgraph.sh data/lang_test_tgpr exp/sgmm2_5b exp/sgmm2_5b/graph_tgpr
      steps/decode_sgmm2.sh --nj 10 --cmd "$decode_cmd" --transform-dir exp/tri4b/decode_tgpr_dev93 \
        exp/sgmm2_5b/graph_tgpr data/test_dev93 exp/sgmm2_5b/decode_tgpr_dev93
      steps/decode_sgmm2.sh --nj 8 --cmd "$decode_cmd" --transform-dir exp/tri4b/decode_tgpr_eval92 \
        exp/sgmm2_5b/graph_tgpr data/test_eval92 exp/sgmm2_5b/decode_tgpr_eval92
  
      utils/mkgraph.sh data/lang_test_bd_tgpr exp/sgmm2_5b exp/sgmm2_5b/graph_bd_tgpr || exit 1;
      steps/decode_sgmm2.sh --nj 10 --cmd "$decode_cmd" --transform-dir exp/tri4b/decode_bd_tgpr_dev93 \
        exp/sgmm2_5b/graph_bd_tgpr data/test_dev93 exp/sgmm2_5b/decode_bd_tgpr_dev93
      steps/decode_sgmm2.sh --nj 8 --cmd "$decode_cmd" --transform-dir exp/tri4b/decode_bd_tgpr_eval92 \
        exp/sgmm2_5b/graph_bd_tgpr data/test_eval92 exp/sgmm2_5b/decode_bd_tgpr_eval92
    ) &
  
  
   # This shows how you would build and test a quinphone SGMM2 system, but
    (
     steps/train_sgmm2.sh --cmd "$train_cmd" \
        --context-opts "--context-width=5 --central-position=2" \
      11000 25000 data/train_si284 data/lang exp/tri4b_ali_si284 \
       exp/ubm5b/final.ubm exp/sgmm2_5c || exit 1;
     # Decode from lattices in exp/sgmm2_5b
      steps/decode_sgmm2_fromlats.sh --cmd "$decode_cmd"  --transform-dir exp/tri4b/decode_tgpr_dev93 \
         data/test_dev93 data/lang_test_tgpr exp/sgmm2_5b/decode_tgpr_dev93 exp/sgmm2_5c/decode_tgpr_dev93
      steps/decode_sgmm2_fromlats.sh --cmd "$decode_cmd"  --transform-dir exp/tri4b/decode_tgpr_eval92 \
         data/test_eval92 data/lang_test_tgpr exp/sgmm2_5b/decode_tgpr_eval92 exp/sgmm2_5c/decode_tgpr_eval92
    ) &
  
  
    steps/align_sgmm2.sh --nj 30 --cmd "$train_cmd" --transform-dir exp/tri4b_ali_si284 \
      --use-graphs true --use-gselect true data/train_si284 data/lang exp/sgmm2_5b exp/sgmm2_5b_ali_si284
  
    steps/make_denlats_sgmm2.sh --nj 30 --sub-split 30 --cmd "$decode_cmd" --transform-dir exp/tri4b_ali_si284 \
      data/train_si284 data/lang exp/sgmm2_5b_ali_si284 exp/sgmm2_5b_denlats_si284
  
    steps/train_mmi_sgmm2.sh --cmd "$decode_cmd" --transform-dir exp/tri4b_ali_si284 --boost 0.1 \
      data/train_si284 data/lang exp/sgmm2_5b_ali_si284 exp/sgmm2_5b_denlats_si284 exp/sgmm2_5b_mmi_b0.1
  
    for iter in 1 2 3 4; do
      for test in eval92; do # dev93
        steps/decode_sgmm2_rescore.sh --cmd "$decode_cmd" --iter $iter \
          --transform-dir exp/tri4b/decode_bd_tgpr_${test} data/lang_test_bd_fg data/test_${test} exp/sgmm2_5b/decode_bd_tgpr_${test} \
          exp/sgmm2_5b_mmi_b0.1/decode_bd_tgpr_${test}_it$iter &
       done
    done
  
    steps/train_mmi_sgmm2.sh --cmd "$decode_cmd" --transform-dir exp/tri4b_ali_si284 --boost 0.1 \
      --drop-frames true data/train_si284 data/lang exp/sgmm2_5b_ali_si284 exp/sgmm2_5b_denlats_si284 exp/sgmm2_5b_mmi_b0.1_z
  
    for iter in 1 2 3 4; do
      for test in eval92 dev93; do
        steps/decode_sgmm2_rescore.sh --cmd "$decode_cmd" --iter $iter \
          --transform-dir exp/tri4b/decode_bd_tgpr_${test} data/lang_test_bd_fg data/test_${test} exp/sgmm2_5b/decode_bd_tgpr_${test} \
          exp/sgmm2_5b_mmi_b0.1_z/decode_bd_tgpr_${test}_it$iter &
       done
    done
  
  ) &
  
  wait
  
  # Examples of combining some of the best decodings: SGMM+MMI with
  # MMI+fMMI on a conventional system.
  
  local/score_combine.sh data/test_eval92 \
     data/lang_test_bd_tgpr \
     exp/tri4b_fmmi_a/decode_tgpr_eval92_it8 \
     exp/sgmm2_5b_mmi_b0.1/decode_bd_tgpr_eval92_it3 \
     exp/combine_tri4b_fmmi_a_sgmm2_5b_mmi_b0.1/decode_bd_tgpr_eval92_it8_3
  
  
  # %WER 4.43 [ 250 / 5643, 41 ins, 12 del, 197 sub ] exp/tri4b_fmmi_a/decode_tgpr_eval92_it8/wer_11
  # %WER 3.85 [ 217 / 5643, 35 ins, 11 del, 171 sub ] exp/sgmm2_5b_mmi_b0.1/decode_bd_tgpr_eval92_it3/wer_10
  # combined to:
  # %WER 3.76 [ 212 / 5643, 32 ins, 12 del, 168 sub ] exp/combine_tri4b_fmmi_a_sgmm2_5b_mmi_b0.1/decode_bd_tgpr_eval92_it8_3/wer_12
  
  # Checking MBR decode of baseline:
  rm -r exp/sgmm2_5b_mmi_b0.1/decode_bd_tgpr_eval92_it3.mbr 2>/dev/null
  cp -r exp/sgmm2_5b_mmi_b0.1/decode_bd_tgpr_eval92_it3{,.mbr}
  local/score_mbr.sh data/test_eval92 data/lang_test_bd_tgpr exp/sgmm2_5b_mmi_b0.1/decode_bd_tgpr_eval92_it3.mbr
  # MBR decoding did not seem to help (baseline was 3.85).  I think this is normal at such low WERs.
  %WER 3.86 [ 218 / 5643, 35 ins, 11 del, 172 sub ] exp/sgmm2_5b_mmi_b0.1/decode_bd_tgpr_eval92_it3.mbr/wer_10