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egs/tedlium/s5_r2/local/nnet3/run_blstm.sh
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stage=0 train_stage=-10 affix=bidirectional common_egs_dir= remove_egs=true train_set=train_cleaned gmm=tri3_cleaned nnet3_affix=_cleaned # BLSTM params cell_dim=1024 rp_dim=128 nrp_dim=128 chunk_left_context=40 chunk_right_context=40 # training options srand=0 num_jobs_initial=3 num_jobs_final=15 samples_per_iter=20000 num_epochs=6 echo "$0 $@" # Print the command line for logging if [ -f path.sh ]; then . ./path.sh; fi . parse_options.sh || exit 1; local/nnet3/run_lstm.sh --affix $affix \ --srand $srand \ --stage $stage \ --train-stage $train_stage \ --train-set $train_set \ --gmm $gmm \ --nnet3-affix $nnet3_affix \ --lstm-delay " [-1,1] [-2,2] [-3,3] " \ --label-delay 0 \ --cell-dim $cell_dim \ --recurrent-projection-dim $rp_dim \ --non-recurrent-projection-dim $nrp_dim \ --common-egs-dir "$common_egs_dir" \ --chunk-left-context $chunk_left_context \ --chunk-right-context $chunk_right_context \ --num-jobs-initial $num_jobs_initial \ --num-jobs-final $num_jobs_final \ --samples-per-iter $samples_per_iter \ --num-epochs $num_epochs \ --remove-egs $remove_egs |