run_sgmm.sh
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#!/bin/bash
. ./path.sh
. ./cmd.sh ## You'll want to change cmd.sh to something that will work on your system.
## This relates to the queue.
nJobs=120
nDecodeJobs=40
galeData=GALE
mfccdir=mfcc
if [[ ! -d exp/tri3b_ali ]]; then
echo "exp/tri3b_ali lattices are required for alignmnet"
exit 1
fi
## SGMM (subspace gaussian mixture model), excluding the "speaker-dependent weights"
steps/train_ubm.sh --cmd "$train_cmd" 700 \
data/train data/lang exp/tri3b_ali exp/ubm5a || exit 1;
steps/train_sgmm2.sh --cmd "$train_cmd" 5000 20000 data/train data/lang exp/tri3b_ali \
exp/ubm5a/final.ubm exp/sgmm_5a || exit 1;
utils/mkgraph.sh data/lang_test exp/sgmm_5a exp/sgmm_5a/graph
steps/decode_sgmm2.sh --nj $nDecodeJobs --cmd "$decode_cmd" \
--config conf/decode.config --transform-dir \
exp/tri3b/decode exp/sgmm_5a/graph data/test exp/sgmm_5a/decode
steps/align_sgmm2.sh --nj $nJobs --cmd "$train_cmd" --transform-dir exp/tri3b_ali \
--use-graphs true --use-gselect true data/train data/lang exp/sgmm_5a exp/sgmm_5a_ali || exit 1;
## boosted MMI on SGMM
steps/make_denlats_sgmm2.sh --nj $nJobs --sub-split 30 --beam 9.0 --lattice-beam 6 \
--cmd "$decode_cmd" --transform-dir \
exp/tri3b_ali data/train data/lang exp/sgmm_5a_ali exp/sgmm_5a_denlats || exit 1;
steps/train_mmi_sgmm2.sh --cmd "$train_cmd" --num-iters 8 --transform-dir exp/tri3b_ali --boost 0.1 \
data/train data/lang exp/sgmm_5a exp/sgmm_5a_denlats exp/sgmm_5a_mmi_b0.1
#decode SGMM MMI
utils/mkgraph.sh data/lang_test exp/sgmm_5a_mmi_b0.1 exp/sgmm_5a_mmi_b0.1/graph
steps/decode_sgmm2.sh --nj $nDecodeJobs --cmd "$decode_cmd" \
--config conf/decode.config --transform-dir exp/tri3b/decode \
exp/sgmm_5a_mmi_b0.1/graph data/test exp/sgmm_5a_mmi_b0.1/decode
for n in 1 2 3 4; do
steps/decode_sgmm2_rescore.sh --cmd "$decode_cmd" --iter $n \
--transform-dir exp/tri3b/decode data/lang_test data/test \
exp/sgmm_5a_mmi_b0.1/decode exp/sgmm_5a_mmi_b0.1/decode$n
done
echo SGMM succedded
exit 0