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ontrac-kaldi
egs
wsj
s5
steps
nnet2
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8dcb6dfcb61
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adjust_priors.sh
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align.sh
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check_ivectors_compatible.sh
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convert_lda_to_raw.sh
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convert_nnet1_to_nnet2.sh
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create_appended_model.sh
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decode.sh
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dump_bottleneck_features.sh
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get_egs.sh
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get_egs2.sh
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get_egs_discriminative2.sh
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get_ivector_id.sh
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get_lda.sh
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get_lda_block.sh
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get_num_frames.sh
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get_perturbed_feats.sh
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make_denlats.sh
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make_multisplice_configs.py
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relabel_egs.sh
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relabel_egs2.sh
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remove_egs.sh
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retrain_fast.sh
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retrain_simple2.sh
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retrain_tanh.sh
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train_block.sh
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train_convnet_accel2.sh
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train_discriminative.sh
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train_discriminative2.sh
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train_discriminative_multilang2.sh
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train_more.sh
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train_more2.sh
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train_multilang2.sh
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train_multisplice_accel2.sh
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train_multisplice_ensemble.sh
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train_pnorm.sh
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train_pnorm_accel2.sh
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train_pnorm_bottleneck_fast.sh
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train_pnorm_ensemble.sh
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train_pnorm_fast.sh
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train_pnorm_multisplice.sh
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train_pnorm_multisplice2.sh
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train_pnorm_simple.sh
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train_pnorm_simple2.sh
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train_tanh.sh
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train_tanh_bottleneck.sh
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train_tanh_fast.sh
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update_nnet.sh
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