run_rnnlms_sgmm5b.sh
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#!/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