#!/bin/bash
  
  for test in dev93 eval92; do
  
    steps/lmrescore.sh --cmd "$decode_cmd" data/lang_test_bd_tgpr data/lang_test_bd_fg \
      data/test_${test} exp/sgmm5b_mmi_b0.1/decode_bd_tgpr_${test}_it4 exp/sgmm5b_mmi_b0.1/decode_bd_fg_${test}_it4 || exit 1;
  
  
  # Note: for N-best-list generation, choosing the acoustic scale (12) that gave
  # the best WER on this test set.  Ideally we should do this on a dev set.
  
   # This step interpolates a small RNNLM (with weight 0.25) with the 4-gram LM.
    steps/rnnlmrescore.sh \
      --N 100 --cmd "$decode_cmd" --inv-acwt 12 \
      0.25 data/lang_test_bd_fg data/local/rnnlm.h30.voc10k data/test_${test} \
      exp/sgmm5b_mmi_b0.1/decode_bd_fg_${test}_it4 exp/sgmm5b_mmi_b0.1/decode_bd_fg_${test}_it4_rnnlm30_0.25  \
      || exit 1;
  
    steps/rnnlmrescore.sh \
      --N 100 --cmd "$decode_cmd" --inv-acwt 12 \
      0.5 data/lang_test_bd_fg data/local/rnnlm.h100.voc20k data/test_${test} \
      exp/sgmm5b_mmi_b0.1/decode_bd_fg_${test}_it4 exp/sgmm5b_mmi_b0.1/decode_bd_fg_${test}_it4_rnnlm100_0.5 \
      || exit 1;
  
    steps/rnnlmrescore.sh \
      --N 100 --cmd "$decode_cmd" --inv-acwt 12 \
      0.5 data/lang_test_bd_fg data/local/rnnlm.h200.voc30k data/test_${test} \
      exp/sgmm5b_mmi_b0.1/decode_bd_fg_${test}_it4 exp/sgmm5b_mmi_b0.1/decode_bd_fg_${test}_it4_rnnlm200_0.5 \
      || exit 1;
  
    steps/rnnlmrescore.sh \
      --N 100 --cmd "$decode_cmd" --inv-acwt 12 \
      0.5 data/lang_test_bd_fg data/local/rnnlm.h300.voc40k data/test_${test} \
      exp/sgmm5b_mmi_b0.1/decode_bd_fg_${test}_it4 exp/sgmm5b_mmi_b0.1/decode_bd_fg_${test}_it4_rnnlm300_0.5 \
      || exit 1;
  
    steps/rnnlmrescore.sh \
      --N 100 --cmd "$decode_cmd" --inv-acwt 12 \
      0.75 data/lang_test_bd_fg data/local/rnnlm.h300.voc40k data/test_${test} \
      exp/sgmm5b_mmi_b0.1/decode_bd_fg_${test}_it4 exp/sgmm5b_mmi_b0.1/decode_bd_fg_${test}_it4_rnnlm300_0.75 \
      || exit 1;
  done