├── .DS_Store ├── .gitattributes ├── .gitignore ├── .travis.yml ├── README.md ├── egs └── sre │ ├── s5 │ ├── cmd.sh │ ├── cmudict │ │ ├── .svn │ │ │ ├── entries │ │ │ ├── format │ │ │ ├── pristine │ │ │ │ ├── 18 │ │ │ │ │ └── 18714f4e3fedc18860a5284a4ef16281c3ecda39.svn-base │ │ │ │ ├── 44 │ │ │ │ │ └── 44e5c5bdc8f87bc40846e56b6fa7aa5978437023.svn-base │ │ │ │ ├── 58 │ │ │ │ │ └── 58e9f9ac955930e141fba759aad0823d66d5943a.svn-base │ │ │ │ ├── 80 │ │ │ │ │ └── 80539b75a807d4b042e63def6507fef30ba99af2.svn-base │ │ │ │ ├── 90 │ │ │ │ │ └── 90bfc5b1fd4b83d8e9a95f77346a33fb2a1ecbb9.svn-base │ │ │ │ ├── 06 │ │ │ │ │ └── 06afd16b18b4ab9c95718b21d2410429b503dd7d.svn-base │ │ │ │ ├── 0b │ │ │ │ │ └── 0bacd23521d5b60038070eca3bc2de17bee139ea.svn-base │ │ │ │ ├── 3d │ │ │ │ │ └── 3d0cec4c5ab07f5ffc93f19059f0cf26f86d26b3.svn-base │ │ │ │ ├── 8c │ │ │ │ │ ├── 8c14a82515b5a0b4d377a2ebab56a0650a55083f.svn-base │ │ │ │ │ └── 8c9a45f65d408161c4f995d5dd64ea8db7fe059c.svn-base │ │ │ │ ├── 9f │ │ │ │ │ └── 9fb31d540aec8716d8682a672f7471120ad33748.svn-base │ │ │ │ ├── a4 │ │ │ │ │ └── a41160d340d24a69a6eca554804ab23631449168.svn-base │ │ │ │ ├── ba │ │ │ │ │ ├── ba599cf2c9a7389cf358aca3380d1275d46d89e6.svn-base │ │ │ │ │ └── baa8c34c3d16423d84a9323d4546e191ad94dc83.svn-base │ │ │ │ ├── dc │ │ │ │ │ └── dc0c0dc133f829ddfed05374474c0093e72a9ac2.svn-base │ │ │ │ ├── e5 │ │ │ │ │ └── e533665d59c8d24e6fb44c6005216f8cf0b74408.svn-base │ │ │ │ ├── e6 │ │ │ │ │ └── e6c0d7611ca644b46c7ae85ba6b9676af4c90a8e.svn-base │ │ │ │ ├── e7 │ │ │ │ │ └── e7fcbd6d7a8abe698536a3500354d1c9dfe908f9.svn-base │ │ │ │ ├── ed │ │ │ │ │ └── ed7ccf72b4da7ee1f1db5f898131d9ada520aa60.svn-base │ │ │ │ └── ee │ │ │ │ │ └── eee89f70061c963742f009aab6a75fac8ef46eaa.svn-base │ │ │ ├── wc.db │ │ │ └── wc.db-journal │ │ ├── 00README_FIRST.txt │ │ ├── README.developer │ │ ├── README.old │ │ ├── README.weide │ │ ├── cmudict-0.7b │ │ ├── cmudict-0.7b.phones │ │ ├── cmudict-0.7b.symbols │ │ ├── cmudict.0.6d │ │ ├── cmudict.0.7a │ │ ├── cmudict.0.7a.phones │ │ ├── cmudict.0.7a.symbols │ │ ├── scripts │ │ │ ├── CompileDictionary.sh │ │ │ ├── README.txt │ │ │ ├── make_baseform.pl │ │ │ ├── sort_cmudict.pl │ │ │ ├── test_cmudict.pl │ │ │ └── test_dict.pl │ │ └── sphinxdict │ │ │ ├── README.txt │ │ │ ├── SphinxPhones_40 │ │ │ ├── cmudict.0.7a_SPHINX_40 │ │ │ └── cmudict_SPHINX_40 │ ├── conf │ │ ├── MSU_single_letter.txt │ │ ├── decode.config │ │ ├── mfcc.conf │ │ ├── mfcc_hires.conf │ │ └── online_cmvn.conf │ ├── local │ │ ├── dict.patch │ │ ├── dnn │ │ │ ├── README │ │ │ ├── fisher_create_test_lang.sh │ │ │ ├── fisher_data_prep.sh │ │ │ ├── fisher_fix_speakerid.pl │ │ │ ├── fisher_prepare_dict.sh │ │ │ ├── fisher_train_lms.sh │ │ │ ├── remove_dup_utts.sh │ │ │ ├── run_nnet2_common.sh │ │ │ ├── run_nnet2_multisplice.sh │ │ │ └── train_dnn.sh │ │ ├── fisher_create_test_lang.sh │ │ ├── fisher_data_prep.sh │ │ ├── fisher_fix_speakerid.pl │ │ ├── fisher_prepare_dict.sh │ │ ├── fisher_swbd_prepare_dict.sh │ │ ├── fisher_train_lms.sh │ │ ├── format_acronyms_dict.py │ │ ├── make_musan.py │ │ ├── make_musan.sh │ │ ├── make_mx6.sh │ │ ├── make_mx6_calls.pl │ │ ├── make_mx6_mic.pl │ │ ├── make_sre.pl │ │ ├── make_sre.sh │ │ ├── make_sre08.pl │ │ ├── make_sre10.pl │ │ ├── make_sre10_10sec.py │ │ ├── make_sre10_coreext_c5.py │ │ ├── make_sre16_eval.pl │ │ ├── make_sre16_unlabeled.pl │ │ ├── make_swbd2_phase1.pl │ │ ├── make_swbd2_phase2.pl │ │ ├── make_swbd2_phase3.pl │ │ ├── make_swbd_cellular1.pl │ │ ├── make_swbd_cellular2.pl │ │ ├── map_acronyms_transcripts.py │ │ ├── nnet3 │ │ │ └── xvector │ │ │ │ ├── prepare_feats_for_egs.sh │ │ │ │ ├── prepare_feats_for_egs_new.sh │ │ │ │ ├── run_xvector.sh │ │ │ │ ├── run_xvector_new.sh │ │ │ │ ├── run_xvector_pa_wo_pretrain.sh │ │ │ │ └── tuning │ │ │ │ └── run_xvector_1a.sh │ │ ├── nnet3_cvector │ │ │ ├── cvector │ │ │ │ ├── prepare_nnet3_xconfig.sh │ │ │ │ ├── prepare_nnet3_xconfig_2share.sh │ │ │ │ ├── prepare_nnet3_xconfig_3share.sh │ │ │ │ ├── prepare_nnet3_xconfig_4share.sh │ │ │ │ ├── train_am.sh │ │ │ │ ├── train_cvector.sh │ │ │ │ ├── train_cvector_with_am.sh │ │ │ │ ├── train_cvector_with_am_2share.sh │ │ │ │ ├── train_cvector_with_am_3share.sh │ │ │ │ └── train_xvector_with_am.sh │ │ │ └── xvector │ │ │ │ ├── prepare_feats_for_egs.sh │ │ │ │ ├── prepare_feats_for_egs_new.sh │ │ │ │ ├── run_dvector.sh │ │ │ │ ├── run_xvector.sh │ │ │ │ ├── run_xvector_new.sh │ │ │ │ └── tuning │ │ │ │ └── run_xvector_1a.sh │ │ ├── swbd1_data_download.sh │ │ ├── swbd1_data_prep.sh │ │ └── swbd1_map_words.pl │ ├── path.sh │ ├── run.sh │ ├── sid │ │ ├── compute_vad_decision.sh │ │ ├── compute_vad_decision_gmm.sh │ │ ├── extract_ivectors.sh │ │ ├── extract_ivectors_dnn.sh │ │ ├── extract_ivectors_nnet3.sh │ │ ├── extract_ivectors_nnet3.sh.bak │ │ ├── extract_post_nnet3.sh │ │ ├── gender_id.sh │ │ ├── init_full_ubm_from_dnn.sh │ │ ├── init_full_ubm_from_nnet3.sh │ │ ├── music_id.sh │ │ ├── nnet2 │ │ │ ├── get_egs2.sh │ │ │ ├── get_lda.sh │ │ │ └── train_multisplice_accel2.sh │ │ ├── nnet3 │ │ │ └── xvector │ │ │ │ ├── allocate_egs.py │ │ │ │ ├── allocate_egs_dvector.py │ │ │ │ ├── allocate_egs_new.py │ │ │ │ ├── extract_output_new.sh │ │ │ │ ├── extract_xvectors.sh │ │ │ │ ├── extract_xvectors_new.sh │ │ │ │ ├── get_egs.sh │ │ │ │ ├── get_egs_dvector.sh │ │ │ │ ├── get_egs_framebyframe.sh │ │ │ │ ├── get_egs_new.sh │ │ │ │ ├── tf_extract_activations_for_analysis.sh │ │ │ │ ├── tf_extract_weights.sh │ │ │ │ ├── tf_extract_xvectors_new.sh │ │ │ │ └── tf_extract_xvectors_with_text.sh │ │ ├── nnet3_cvector │ │ │ ├── am │ │ │ │ └── extract_bn.sh │ │ │ ├── cvector │ │ │ │ ├── allocate_egs_new.py │ │ │ │ ├── extract_am_embedding.sh │ │ │ │ ├── extract_cvectors_with_am.sh │ │ │ │ ├── extract_cvectors_with_embedding.sh │ │ │ │ ├── extract_log_post.sh │ │ │ │ ├── extract_output_with_am.sh │ │ │ │ ├── extract_xvectors_new.sh │ │ │ │ ├── get_egs_am.sh │ │ │ │ ├── get_egs_cvector.sh │ │ │ │ ├── get_egs_with_ali_from_xvec_egs.sh │ │ │ │ ├── get_egs_xvec.sh │ │ │ │ ├── get_egs_xvec_with_embedding.sh │ │ │ │ ├── get_egs_xvec_with_feat.sh │ │ │ │ ├── prepare_ali_and_phones.sh │ │ │ │ ├── prepare_embedding.sh │ │ │ │ ├── prepare_feats.sh │ │ │ │ ├── prepare_feats_from_nosil.sh │ │ │ │ └── train_cvector_with_am_expand.sh │ │ │ └── xvector │ │ │ │ ├── allocate_egs.py │ │ │ │ ├── allocate_egs_dvector.py │ │ │ │ ├── allocate_egs_new.py │ │ │ │ ├── extract_xvectors.sh │ │ │ │ ├── extract_xvectors_new.sh │ │ │ │ ├── get_egs.sh │ │ │ │ ├── get_egs_dvector.sh │ │ │ │ ├── get_egs_framebyframe.sh │ │ │ │ └── get_egs_new.sh │ │ ├── train_diag_ubm.sh │ │ ├── train_full_ubm.sh │ │ ├── train_ivector_extractor.sh │ │ ├── train_ivector_extractor_dnn.sh │ │ └── train_ivector_extractor_nnet3.sh │ ├── steps │ │ ├── align_basis_fmllr.sh │ │ ├── align_fmllr.sh │ │ ├── align_fmllr_lats.sh │ │ ├── align_fmllr_new.sh │ │ ├── align_lvtln.sh │ │ ├── align_raw_fmllr.sh │ │ ├── align_sgmm2.sh │ │ ├── align_si.sh │ │ ├── append_feats.sh │ │ ├── cleanup │ │ │ ├── clean_and_segment_data.sh │ │ │ ├── combine_short_segments.py │ │ │ ├── create_segments_from_ctm.pl │ │ │ ├── debug_lexicon.sh │ │ │ ├── decode_fmllr_segmentation.sh │ │ │ ├── decode_segmentation.sh │ │ │ ├── find_bad_utts.sh │ │ │ ├── find_bad_utts_nnet.sh │ │ │ ├── internal │ │ │ │ ├── align_ctm_ref.py │ │ │ │ ├── compute_tf_idf.py │ │ │ │ ├── ctm_to_text.pl │ │ │ │ ├── get_ctm.sh │ │ │ │ ├── get_ctm_edits.py │ │ │ │ ├── get_non_scored_words.py │ │ │ │ ├── get_pron_stats.py │ │ │ │ ├── make_one_biased_lm.py │ │ │ │ ├── modify_ctm_edits.py │ │ │ │ ├── resolve_ctm_edits_overlaps.py │ │ │ │ ├── retrieve_similar_docs.py │ │ │ │ ├── segment_ctm_edits.py │ │ │ │ ├── segment_ctm_edits_mild.py │ │ │ │ ├── split_text_into_docs.pl │ │ │ │ ├── stitch_documents.py │ │ │ │ ├── taint_ctm_edits.py │ │ │ │ └── tf_idf.py │ │ │ ├── lattice_oracle_align.sh │ │ │ ├── make_biased_lm_graphs.sh │ │ │ ├── make_biased_lms.py │ │ │ ├── make_segmentation_data_dir.sh │ │ │ ├── make_segmentation_graph.sh │ │ │ ├── make_utterance_fsts.pl │ │ │ ├── make_utterance_graph.sh │ │ │ ├── segment_long_utterances.sh │ │ │ └── split_long_utterance.sh │ │ ├── combine_ali_dirs.sh │ │ ├── compute_cmvn_stats.sh │ │ ├── conf │ │ │ ├── append_eval_to_ctm.py │ │ │ ├── append_prf_to_ctm.py │ │ │ ├── apply_calibration.sh │ │ │ ├── convert_ctm_to_tra.py │ │ │ ├── lattice_depth_per_frame.sh │ │ │ ├── parse_arpa_unigrams.py │ │ │ ├── prepare_calibration_data.py │ │ │ ├── prepare_word_categories.py │ │ │ └── train_calibration.sh │ │ ├── data │ │ │ ├── augment_data_dir.py │ │ │ ├── augment_data_dir_new.py │ │ │ ├── data_dir_manipulation_lib.py │ │ │ └── reverberate_data_dir.py │ │ ├── decode.sh │ │ ├── decode_basis_fmllr.sh │ │ ├── decode_biglm.sh │ │ ├── decode_combine.sh │ │ ├── decode_fmllr.sh │ │ ├── decode_fmllr_extra.sh │ │ ├── decode_fmmi.sh │ │ ├── decode_fromlats.sh │ │ ├── decode_lvtln.sh │ │ ├── decode_nnet.sh │ │ ├── decode_nolats.sh │ │ ├── decode_raw_fmllr.sh │ │ ├── decode_sgmm2.sh │ │ ├── decode_sgmm2_fromlats.sh │ │ ├── decode_sgmm2_rescore.sh │ │ ├── decode_sgmm2_rescore_project.sh │ │ ├── decode_si.sh │ │ ├── decode_with_map.sh │ │ ├── diagnostic │ │ │ ├── analyze_alignments.sh │ │ │ ├── analyze_lats.sh │ │ │ ├── analyze_lattice_depth_stats.py │ │ │ └── analyze_phone_length_stats.py │ │ ├── dict │ │ │ ├── apply_g2p.sh │ │ │ ├── apply_lexicon_edits.py │ │ │ ├── get_pron_stats.py │ │ │ ├── internal │ │ │ │ └── prune_pron_candidates.py │ │ │ ├── learn_lexicon.sh │ │ │ ├── prons_to_lexicon.py │ │ │ ├── prune_pron_candidates.py │ │ │ ├── select_prons_bayesian.py │ │ │ └── train_g2p.sh │ │ ├── generate_spk_ali.py │ │ ├── get_ctm.sh │ │ ├── get_fmllr_basis.sh │ │ ├── get_lexicon_probs.sh │ │ ├── get_num_targets.py │ │ ├── get_prons.sh │ │ ├── get_train_ctm.sh │ │ ├── info │ │ │ ├── chain_dir_info.pl │ │ │ ├── gmm_dir_info.pl │ │ │ ├── nnet2_dir_info.pl │ │ │ ├── nnet3_dir_info.pl │ │ │ └── nnet3_disc_dir_info.pl │ │ ├── kl_hmm │ │ │ ├── build_tree.sh │ │ │ ├── decode_kl_hmm.sh │ │ │ └── train_kl_hmm.sh │ │ ├── libs │ │ │ ├── __init__.py │ │ │ ├── common.py │ │ │ └── nnet3 │ │ │ │ ├── __init__.py │ │ │ │ ├── report │ │ │ │ ├── __init__.py │ │ │ │ └── log_parse.py │ │ │ │ ├── train │ │ │ │ ├── __init__.py │ │ │ │ ├── chain_objf │ │ │ │ │ ├── __init__.py │ │ │ │ │ └── acoustic_model.py │ │ │ │ ├── common.py │ │ │ │ ├── dropout_schedule.py │ │ │ │ ├── frame_level_objf │ │ │ │ │ ├── __init__.py │ │ │ │ │ ├── acoustic_model.py │ │ │ │ │ ├── common.py │ │ │ │ │ └── raw_model.py │ │ │ │ └── frame_level_objf_20180105 │ │ │ │ │ ├── __init__.py │ │ │ │ │ ├── acoustic_model.py │ │ │ │ │ ├── common.py │ │ │ │ │ └── raw_model.py │ │ │ │ └── xconfig │ │ │ │ ├── __init__.py │ │ │ │ ├── attention.py │ │ │ │ ├── basic_layers.py │ │ │ │ ├── convolution.py │ │ │ │ ├── gru.py │ │ │ │ ├── layers.py │ │ │ │ ├── lstm.py │ │ │ │ ├── parser.py │ │ │ │ ├── stats_layer.py │ │ │ │ ├── trivial_layers.py │ │ │ │ └── utils.py │ │ ├── lmrescore.sh │ │ ├── lmrescore_const_arpa.sh │ │ ├── lmrescore_rnnlm_lat.sh │ │ ├── make_denlats.sh │ │ ├── make_denlats_sgmm2.sh │ │ ├── make_fbank.sh │ │ ├── make_fbank_pitch.sh │ │ ├── make_index.sh │ │ ├── make_mfcc.sh │ │ ├── make_mfcc_pitch.sh │ │ ├── make_mfcc_pitch_online.sh │ │ ├── make_phone_graph.sh │ │ ├── make_plp.sh │ │ ├── make_plp_pitch.sh │ │ ├── nnet │ │ │ ├── align.sh │ │ │ ├── decode.sh │ │ │ ├── ivector │ │ │ │ ├── extract_ivectors.sh │ │ │ │ ├── train_diag_ubm.sh │ │ │ │ └── train_ivector_extractor.sh │ │ │ ├── make_bn_feats.sh │ │ │ ├── make_denlats.sh │ │ │ ├── make_fmllr_feats.sh │ │ │ ├── make_fmmi_feats.sh │ │ │ ├── make_priors.sh │ │ │ ├── pretrain_dbn.sh │ │ │ ├── train.sh │ │ │ ├── train_mmi.sh │ │ │ ├── train_mpe.sh │ │ │ └── train_scheduler.sh │ │ ├── nnet2 │ │ │ ├── adjust_priors.sh │ │ │ ├── align.sh │ │ │ ├── check_ivectors_compatible.sh │ │ │ ├── convert_lda_to_raw.sh │ │ │ ├── convert_nnet1_to_nnet2.sh │ │ │ ├── create_appended_model.sh │ │ │ ├── decode.sh │ │ │ ├── dump_bottleneck_features.sh │ │ │ ├── get_egs.sh │ │ │ ├── get_egs2.sh │ │ │ ├── get_egs_discriminative2.sh │ │ │ ├── get_ivector_id.sh │ │ │ ├── get_lda.sh │ │ │ ├── get_lda_block.sh │ │ │ ├── get_num_frames.sh │ │ │ ├── get_perturbed_feats.sh │ │ │ ├── make_denlats.sh │ │ │ ├── make_multisplice_configs.py │ │ │ ├── relabel_egs.sh │ │ │ ├── relabel_egs2.sh │ │ │ ├── remove_egs.sh │ │ │ ├── retrain_fast.sh │ │ │ ├── retrain_simple2.sh │ │ │ ├── retrain_tanh.sh │ │ │ ├── train_block.sh │ │ │ ├── train_convnet_accel2.sh │ │ │ ├── train_discriminative.sh │ │ │ ├── train_discriminative2.sh │ │ │ ├── train_discriminative_multilang2.sh │ │ │ ├── train_more.sh │ │ │ ├── train_more2.sh │ │ │ ├── train_multilang2.sh │ │ │ ├── train_multisplice_accel2.sh │ │ │ ├── train_multisplice_ensemble.sh │ │ │ ├── train_pnorm.sh │ │ │ ├── train_pnorm_accel2.sh │ │ │ ├── train_pnorm_bottleneck_fast.sh │ │ │ ├── train_pnorm_ensemble.sh │ │ │ ├── train_pnorm_fast.sh │ │ │ ├── train_pnorm_multisplice.sh │ │ │ ├── train_pnorm_multisplice2.sh │ │ │ ├── train_pnorm_simple.sh │ │ │ ├── train_pnorm_simple2.sh │ │ │ ├── train_tanh.sh │ │ │ ├── train_tanh_bottleneck.sh │ │ │ ├── train_tanh_fast.sh │ │ │ └── update_nnet.sh │ │ ├── nnet3 │ │ │ ├── adjust_priors.sh │ │ │ ├── align.sh │ │ │ ├── align_cvector.sh │ │ │ ├── align_lats.sh │ │ │ ├── chain │ │ │ │ ├── build_tree.sh │ │ │ │ ├── gen_topo.pl │ │ │ │ ├── gen_topo.py │ │ │ │ ├── gen_topo2.py │ │ │ │ ├── gen_topo3.py │ │ │ │ ├── gen_topo4.py │ │ │ │ ├── gen_topo5.py │ │ │ │ ├── gen_topo_orig.py │ │ │ │ ├── get_egs.sh │ │ │ │ ├── make_weighted_den_fst.sh │ │ │ │ ├── train.py │ │ │ │ └── train_tdnn.sh │ │ │ ├── combined_vector │ │ │ │ └── train_combined_dnn.py │ │ │ ├── components.py │ │ │ ├── compute_output.sh │ │ │ ├── convert_nnet2_to_nnet3.py │ │ │ ├── cvector │ │ │ │ └── get_model_from_raw.sh │ │ │ ├── decode.sh │ │ │ ├── decode_cvector.sh │ │ │ ├── decode_looped.sh │ │ │ ├── decode_wcmvn.sh │ │ │ ├── dot │ │ │ │ ├── descriptor_parser.py │ │ │ │ └── nnet3_to_dot.py │ │ │ ├── get_degs.sh │ │ │ ├── get_egs.sh │ │ │ ├── get_egs_discriminative.sh │ │ │ ├── get_egs_raw_train_valid.sh │ │ │ ├── get_egs_targets.sh │ │ │ ├── get_egs_train_valid.sh │ │ │ ├── get_saturation.pl │ │ │ ├── get_successful_models.py │ │ │ ├── lstm │ │ │ │ ├── make_configs.py │ │ │ │ └── train.sh │ │ │ ├── make_bottleneck_features.sh │ │ │ ├── make_bottleneck_features_new.sh │ │ │ ├── make_denlats.sh │ │ │ ├── make_tdnn_configs.py │ │ │ ├── multilingual │ │ │ │ ├── allocate_multilingual_examples.py │ │ │ │ └── combine_egs.sh │ │ │ ├── nnet3_make_bottleneck.sh │ │ │ ├── nnet3_make_bottleneck_dvector.sh │ │ │ ├── nnet3_to_dot.sh │ │ │ ├── report │ │ │ │ ├── generate_plots.py │ │ │ │ └── summarize_compute_debug_timing.py │ │ │ ├── tdnn │ │ │ │ ├── make_configs.py │ │ │ │ ├── train.sh │ │ │ │ └── train_raw_nnet.sh │ │ │ ├── train_cvector_dnn.py │ │ │ ├── train_discriminative.sh │ │ │ ├── train_dnn.py │ │ │ ├── train_dnn_new.py │ │ │ ├── train_raw_dnn.py │ │ │ ├── train_raw_dnn_new.py │ │ │ ├── train_raw_rnn.py │ │ │ ├── train_rnn.py │ │ │ ├── train_tdnn.sh │ │ │ ├── xconfig_to_configs.py │ │ │ ├── xconfig_to_configs_multiple_input.py │ │ │ └── xconfig_to_configs_new.py │ │ ├── online │ │ │ ├── decode.sh │ │ │ ├── nnet2 │ │ │ │ ├── align.sh │ │ │ │ ├── copy_data_dir.sh │ │ │ │ ├── copy_ivector_dir.sh │ │ │ │ ├── decode.sh │ │ │ │ ├── dump_nnet_activations.sh │ │ │ │ ├── extract_ivectors.sh │ │ │ │ ├── extract_ivectors_online.sh │ │ │ │ ├── get_egs.sh │ │ │ │ ├── get_egs2.sh │ │ │ │ ├── get_egs_discriminative2.sh │ │ │ │ ├── get_pca_transform.sh │ │ │ │ ├── make_denlats.sh │ │ │ │ ├── prepare_online_decoding.sh │ │ │ │ ├── prepare_online_decoding_retrain.sh │ │ │ │ ├── prepare_online_decoding_transfer.sh │ │ │ │ ├── train_diag_ubm.sh │ │ │ │ └── train_ivector_extractor.sh │ │ │ ├── nnet3 │ │ │ │ ├── decode.sh │ │ │ │ └── prepare_online_decoding.sh │ │ │ └── prepare_online_decoding.sh │ │ ├── oracle_wer.sh │ │ ├── paste_feats.sh │ │ ├── resegment_data.sh │ │ ├── resegment_text.sh │ │ ├── rnnlmrescore.sh │ │ ├── score_kaldi.sh │ │ ├── score_kaldi_compare.sh │ │ ├── scoring │ │ │ ├── score_kaldi_cer.sh │ │ │ ├── score_kaldi_compare.sh │ │ │ └── score_kaldi_wer.sh │ │ ├── search_index.sh │ │ ├── select_feats.sh │ │ ├── shift_feats.sh │ │ ├── tandem │ │ │ ├── align_fmllr.sh │ │ │ ├── align_sgmm2.sh │ │ │ ├── align_si.sh │ │ │ ├── decode.sh │ │ │ ├── decode_fmllr.sh │ │ │ ├── decode_sgmm2.sh │ │ │ ├── decode_si.sh │ │ │ ├── make_denlats.sh │ │ │ ├── make_denlats_sgmm2.sh │ │ │ ├── mk_aslf_lda_mllt.sh │ │ │ ├── mk_aslf_sgmm2.sh │ │ │ ├── train_deltas.sh │ │ │ ├── train_lda_mllt.sh │ │ │ ├── train_mllt.sh │ │ │ ├── train_mmi.sh │ │ │ ├── train_mmi_sgmm2.sh │ │ │ ├── train_mono.sh │ │ │ ├── train_sat.sh │ │ │ ├── train_sgmm2.sh │ │ │ └── train_ubm.sh │ │ ├── train_deltas.sh │ │ ├── train_diag_ubm.sh │ │ ├── train_lda_mllt.sh │ │ ├── train_lvtln.sh │ │ ├── train_map.sh │ │ ├── train_mmi.sh │ │ ├── train_mmi_fmmi.sh │ │ ├── train_mmi_fmmi_indirect.sh │ │ ├── train_mmi_sgmm2.sh │ │ ├── train_mono.sh │ │ ├── train_mono_further.sh │ │ ├── train_mpe.sh │ │ ├── train_nnet.sh │ │ ├── train_quick.sh │ │ ├── train_raw_sat.sh │ │ ├── train_sat.sh │ │ ├── train_sat_basis.sh │ │ ├── train_segmenter.sh │ │ ├── train_sgmm2.sh │ │ ├── train_sgmm2_group.sh │ │ ├── train_smbr.sh │ │ ├── train_ubm.sh │ │ └── word_align_lattices.sh │ └── utils │ │ ├── add_disambig.pl │ │ ├── add_lex_disambig.pl │ │ ├── analyze_segments.pl │ │ ├── apply_map.pl │ │ ├── best_wer.sh │ │ ├── build_const_arpa_lm.sh │ │ ├── combine_data.sh │ │ ├── combine_vad_phone_align.py │ │ ├── combine_vad_phone_align_aux.py │ │ ├── convert_ctm.pl │ │ ├── convert_data_segment_to_utt.sh │ │ ├── convert_phone_set.py │ │ ├── convert_slf.pl │ │ ├── convert_slf_parallel.sh │ │ ├── convert_to_lab.sh │ │ ├── copy_data_dir.sh │ │ ├── copy_data_dir_new.sh │ │ ├── create_data_link.pl │ │ ├── create_split_dir.pl │ │ ├── data │ │ ├── combine_data.sh │ │ ├── combine_short_segments.sh │ │ ├── convert_data_dir_to_whole.sh │ │ ├── copy_data_dir.sh │ │ ├── extend_segment_times.py │ │ ├── find_dup_utts.sh │ │ ├── fix_data_dir.sh │ │ ├── fix_subsegment_feats.pl │ │ ├── get_frame_shift.sh │ │ ├── get_num_frames.sh │ │ ├── get_segments_for_data.sh │ │ ├── get_uniform_subsegments.py │ │ ├── get_utt2dur.sh │ │ ├── get_utt2num_frames.sh │ │ ├── internal │ │ │ ├── choose_utts_to_combine.py │ │ │ └── modify_speaker_info.py │ │ ├── limit_feature_dim.sh │ │ ├── modify_speaker_info.sh │ │ ├── normalize_data_range.pl │ │ ├── perturb_data_dir_speed.sh │ │ ├── perturb_data_dir_speed_3way.sh │ │ ├── perturb_data_dir_volume.sh │ │ ├── remove_dup_utts.sh │ │ ├── remove_noise_utts.sh │ │ ├── remove_oov_utts.sh │ │ ├── remove_short_utts.sh │ │ ├── shift_and_combine_feats.sh │ │ ├── shift_feats.sh │ │ ├── sort_by_freq.py │ │ ├── split_data.sh │ │ ├── subsegment_data_dir.sh │ │ ├── subset_data_dir.sh │ │ └── validate_data_dir.sh │ │ ├── dict_dir_add_pronprobs.sh │ │ ├── eps2disambig.pl │ │ ├── filt.py │ │ ├── filter_scp.pl │ │ ├── filter_scps.pl │ │ ├── find_arpa_oovs.pl │ │ ├── fix_ctm.sh │ │ ├── fix_data_dir.sh │ │ ├── fix_segment_spk2gender.py │ │ ├── fix_sre04.py │ │ ├── fix_sre05.py │ │ ├── fix_sre06.py │ │ ├── fix_sre08.py │ │ ├── fix_sre10.py │ │ ├── fix_swbd.py │ │ ├── fix_swbd_cell.py │ │ ├── format_lm.sh │ │ ├── format_lm_sri.sh │ │ ├── gen_topo.pl │ │ ├── int2sym.pl │ │ ├── kwslist_post_process.pl │ │ ├── lang │ │ ├── add_lex_disambig.pl │ │ ├── check_g_properties.pl │ │ ├── check_phones_compatible.sh │ │ ├── internal │ │ │ ├── apply_unk_lm.sh │ │ │ ├── arpa2fst_constrained.py │ │ │ └── modify_unk_pron.py │ │ ├── make_phone_bigram_lang.sh │ │ ├── make_phone_lm.py │ │ ├── make_unk_lm.sh │ │ ├── prepare_lang.sh │ │ ├── validate_disambig_sym_file.pl │ │ └── validate_lang.pl │ │ ├── ln.pl │ │ ├── make_absolute.sh │ │ ├── make_lexicon_fst.pl │ │ ├── make_lexicon_fst_silprob.pl │ │ ├── make_unigram_grammar.pl │ │ ├── map_arpa_lm.pl │ │ ├── max_index.py │ │ ├── mkgraph.sh │ │ ├── nnet-cpu │ │ ├── make_nnet_config.pl │ │ ├── make_nnet_config_block.pl │ │ ├── make_nnet_config_preconditioned.pl │ │ └── update_learning_rates.pl │ │ ├── nnet │ │ ├── gen_dct_mat.py │ │ ├── gen_hamm_mat.py │ │ ├── gen_splice.py │ │ ├── make_blstm_proto.py │ │ ├── make_cnn2d_proto.py │ │ ├── make_cnn_proto.py │ │ ├── make_lstm_proto.py │ │ └── make_nnet_proto.py │ │ ├── parallel │ │ └── limit_num_gpus.sh │ │ ├── parse_options.sh │ │ ├── pbs.pl │ │ ├── perturb_data_dir_speed.sh │ │ ├── pinyin_map.pl │ │ ├── prepare_lang.sh │ │ ├── prepare_online_nnet_dist_build.sh │ │ ├── queue.pl │ │ ├── recover_scores.py │ │ ├── remove_data_links.sh │ │ ├── remove_oovs.pl │ │ ├── reverse_arpa.py │ │ ├── rnnlm_compute_scores.sh │ │ ├── run.pl │ │ ├── s2eps.pl │ │ ├── sample_validset_spk2utt.py │ │ ├── scoring │ │ ├── wer_ops_details.pl │ │ ├── wer_per_spk_details.pl │ │ ├── wer_per_utt_details.pl │ │ └── wer_report.pl │ │ ├── segmentation.pl │ │ ├── show_lattice.sh │ │ ├── show_max_len_per_spk.py │ │ ├── shuffle_list.pl │ │ ├── slurm.pl │ │ ├── sort_data_dir_by_len.py │ │ ├── spk2utt_to_utt2spk.pl │ │ ├── split_data.sh │ │ ├── split_scp.pl │ │ ├── ssh.pl │ │ ├── subset_data_dir.sh │ │ ├── subset_data_dir_per_gender.sh │ │ ├── subset_data_dir_per_spk_len.sh │ │ ├── subset_data_dir_tr_cv.sh │ │ ├── subset_scp.pl │ │ ├── summarize_logs.pl │ │ ├── summarize_warnings.pl │ │ ├── sym2int.pl │ │ ├── utt2spk_to_spk2utt.pl │ │ ├── validate_data_dir.sh │ │ ├── validate_dict_dir.pl │ │ ├── validate_lang.pl │ │ └── write_kwslist.pl │ ├── v1 │ ├── README.txt │ ├── cmd.sh │ ├── conf │ │ ├── mfcc.conf │ │ ├── mfcc_asr.conf │ │ ├── mfcc_hires.conf │ │ └── vad.conf │ ├── local │ │ ├── dict.patch │ │ ├── dnn │ │ │ ├── README │ │ │ ├── fisher_create_test_lang.sh │ │ │ ├── fisher_data_prep.sh │ │ │ ├── fisher_fix_speakerid.pl │ │ │ ├── fisher_prepare_dict.sh │ │ │ ├── fisher_train_lms.sh │ │ │ ├── remove_dup_utts.sh │ │ │ ├── run_nnet2_common.sh │ │ │ ├── run_nnet2_multisplice.sh │ │ │ └── train_dnn.sh │ │ ├── fisher_create_test_lang.sh │ │ ├── fisher_data_prep.sh │ │ ├── fisher_fix_speakerid.pl │ │ ├── fisher_prepare_dict.sh │ │ ├── fisher_swbd_prepare_dict.sh │ │ ├── fisher_train_lms.sh │ │ ├── format_acronyms_dict.py │ │ ├── make_musan.py │ │ ├── make_musan.sh │ │ ├── make_mx6.sh │ │ ├── make_mx6_calls.pl │ │ ├── make_mx6_mic.pl │ │ ├── make_sre.pl │ │ ├── make_sre.sh │ │ ├── make_sre08.pl │ │ ├── make_sre10.pl │ │ ├── make_sre10_10sec.py │ │ ├── make_sre10_coreext_c5.py │ │ ├── make_sre16_eval.pl │ │ ├── make_sre16_unlabeled.pl │ │ ├── make_swbd2_phase1.pl │ │ ├── make_swbd2_phase2.pl │ │ ├── make_swbd2_phase3.pl │ │ ├── make_swbd_cellular1.pl │ │ ├── make_swbd_cellular2.pl │ │ ├── map_acronyms_transcripts.py │ │ ├── nnet3 │ │ │ └── xvector │ │ │ │ ├── prepare_feats_for_egs.sh │ │ │ │ ├── prepare_feats_for_egs_new.sh │ │ │ │ ├── run_xvector.sh │ │ │ │ ├── run_xvector_new.sh │ │ │ │ ├── run_xvector_pa_wo_pretrain.sh │ │ │ │ └── tuning │ │ │ │ └── run_xvector_1a.sh │ │ ├── nnet3_cvector │ │ │ ├── cvector │ │ │ │ ├── prepare_nnet3_xconfig.sh │ │ │ │ ├── prepare_nnet3_xconfig_2share.sh │ │ │ │ ├── prepare_nnet3_xconfig_3share.sh │ │ │ │ ├── prepare_nnet3_xconfig_4share.sh │ │ │ │ ├── train_am.sh │ │ │ │ ├── train_cvector.sh │ │ │ │ ├── train_cvector_with_am.sh │ │ │ │ ├── train_cvector_with_am_2share.sh │ │ │ │ ├── train_cvector_with_am_3share.sh │ │ │ │ └── train_xvector_with_am.sh │ │ │ └── xvector │ │ │ │ ├── prepare_feats_for_egs.sh │ │ │ │ ├── prepare_feats_for_egs_new.sh │ │ │ │ ├── run_dvector.sh │ │ │ │ ├── run_xvector.sh │ │ │ │ ├── run_xvector_new.sh │ │ │ │ └── tuning │ │ │ │ └── run_xvector_1a.sh │ │ ├── swbd1_data_download.sh │ │ ├── swbd1_data_prep.sh │ │ └── swbd1_map_words.pl │ ├── path.sh │ ├── run_sre10.sh │ ├── run_sre10_nnet2.sh │ ├── run_sre16.sh │ ├── run_sre16_nnet2.sh │ ├── sid │ │ ├── compute_vad_decision.sh │ │ ├── compute_vad_decision_gmm.sh │ │ ├── extract_ivectors.sh │ │ ├── extract_ivectors_dnn.sh │ │ ├── extract_ivectors_nnet3.sh │ │ ├── extract_ivectors_nnet3.sh.bak │ │ ├── extract_post_nnet3.sh │ │ ├── gender_id.sh │ │ ├── init_full_ubm_from_dnn.sh │ │ ├── init_full_ubm_from_nnet3.sh │ │ ├── music_id.sh │ │ ├── nnet2 │ │ │ ├── get_egs2.sh │ │ │ ├── get_lda.sh │ │ │ └── train_multisplice_accel2.sh │ │ ├── nnet3 │ │ │ └── xvector │ │ │ │ ├── allocate_egs.py │ │ │ │ ├── allocate_egs_dvector.py │ │ │ │ ├── allocate_egs_new.py │ │ │ │ ├── extract_output_new.sh │ │ │ │ ├── extract_xvectors.sh │ │ │ │ ├── extract_xvectors_new.sh │ │ │ │ ├── get_egs.sh │ │ │ │ ├── get_egs_dvector.sh │ │ │ │ ├── get_egs_framebyframe.sh │ │ │ │ ├── get_egs_new.sh │ │ │ │ ├── tf_extract_activations_for_analysis.sh │ │ │ │ ├── tf_extract_weights.sh │ │ │ │ ├── tf_extract_xvectors_new.sh │ │ │ │ └── tf_extract_xvectors_with_text.sh │ │ ├── nnet3_cvector │ │ │ ├── am │ │ │ │ └── extract_bn.sh │ │ │ ├── cvector │ │ │ │ ├── allocate_egs_new.py │ │ │ │ ├── extract_am_embedding.sh │ │ │ │ ├── extract_cvectors_with_am.sh │ │ │ │ ├── extract_cvectors_with_embedding.sh │ │ │ │ ├── extract_log_post.sh │ │ │ │ ├── extract_output_with_am.sh │ │ │ │ ├── extract_xvectors_new.sh │ │ │ │ ├── get_egs_am.sh │ │ │ │ ├── get_egs_cvector.sh │ │ │ │ ├── get_egs_with_ali_from_xvec_egs.sh │ │ │ │ ├── get_egs_xvec.sh │ │ │ │ ├── get_egs_xvec_with_embedding.sh │ │ │ │ ├── get_egs_xvec_with_feat.sh │ │ │ │ ├── prepare_ali_and_phones.sh │ │ │ │ ├── prepare_embedding.sh │ │ │ │ ├── prepare_feats.sh │ │ │ │ ├── prepare_feats_from_nosil.sh │ │ │ │ └── train_cvector_with_am_expand.sh │ │ │ └── xvector │ │ │ │ ├── allocate_egs.py │ │ │ │ ├── allocate_egs_dvector.py │ │ │ │ ├── allocate_egs_new.py │ │ │ │ ├── extract_xvectors.sh │ │ │ │ ├── extract_xvectors_new.sh │ │ │ │ ├── get_egs.sh │ │ │ │ ├── get_egs_dvector.sh │ │ │ │ ├── get_egs_framebyframe.sh │ │ │ │ └── get_egs_new.sh │ │ ├── train_diag_ubm.sh │ │ ├── train_full_ubm.sh │ │ ├── train_ivector_extractor.sh │ │ ├── train_ivector_extractor_dnn.sh │ │ └── train_ivector_extractor_nnet3.sh │ ├── steps │ │ ├── align_basis_fmllr.sh │ │ ├── align_fmllr.sh │ │ ├── align_fmllr_lats.sh │ │ ├── align_fmllr_new.sh │ │ ├── align_lvtln.sh │ │ ├── align_raw_fmllr.sh │ │ ├── align_sgmm2.sh │ │ ├── align_si.sh │ │ ├── append_feats.sh │ │ ├── cleanup │ │ │ ├── clean_and_segment_data.sh │ │ │ ├── combine_short_segments.py │ │ │ ├── create_segments_from_ctm.pl │ │ │ ├── debug_lexicon.sh │ │ │ ├── decode_fmllr_segmentation.sh │ │ │ ├── decode_segmentation.sh │ │ │ ├── find_bad_utts.sh │ │ │ ├── find_bad_utts_nnet.sh │ │ │ ├── internal │ │ │ │ ├── align_ctm_ref.py │ │ │ │ ├── compute_tf_idf.py │ │ │ │ ├── ctm_to_text.pl │ │ │ │ ├── get_ctm.sh │ │ │ │ ├── get_ctm_edits.py │ │ │ │ ├── get_non_scored_words.py │ │ │ │ ├── get_pron_stats.py │ │ │ │ ├── make_one_biased_lm.py │ │ │ │ ├── modify_ctm_edits.py │ │ │ │ ├── resolve_ctm_edits_overlaps.py │ │ │ │ ├── retrieve_similar_docs.py │ │ │ │ ├── segment_ctm_edits.py │ │ │ │ ├── segment_ctm_edits_mild.py │ │ │ │ ├── split_text_into_docs.pl │ │ │ │ ├── stitch_documents.py │ │ │ │ ├── taint_ctm_edits.py │ │ │ │ └── tf_idf.py │ │ │ ├── lattice_oracle_align.sh │ │ │ ├── make_biased_lm_graphs.sh │ │ │ ├── make_biased_lms.py │ │ │ ├── make_segmentation_data_dir.sh │ │ │ ├── make_segmentation_graph.sh │ │ │ ├── make_utterance_fsts.pl │ │ │ ├── make_utterance_graph.sh │ │ │ ├── segment_long_utterances.sh │ │ │ └── split_long_utterance.sh │ │ ├── combine_ali_dirs.sh │ │ ├── compute_cmvn_stats.sh │ │ ├── conf │ │ │ ├── append_eval_to_ctm.py │ │ │ ├── append_prf_to_ctm.py │ │ │ ├── apply_calibration.sh │ │ │ ├── convert_ctm_to_tra.py │ │ │ ├── lattice_depth_per_frame.sh │ │ │ ├── parse_arpa_unigrams.py │ │ │ ├── prepare_calibration_data.py │ │ │ ├── prepare_word_categories.py │ │ │ └── train_calibration.sh │ │ ├── data │ │ │ ├── augment_data_dir.py │ │ │ ├── augment_data_dir_new.py │ │ │ ├── data_dir_manipulation_lib.py │ │ │ └── reverberate_data_dir.py │ │ ├── decode.sh │ │ ├── decode_basis_fmllr.sh │ │ ├── decode_biglm.sh │ │ ├── decode_combine.sh │ │ ├── decode_fmllr.sh │ │ ├── decode_fmllr_extra.sh │ │ ├── decode_fmmi.sh │ │ ├── decode_fromlats.sh │ │ ├── decode_lvtln.sh │ │ ├── decode_nnet.sh │ │ ├── decode_nolats.sh │ │ ├── decode_raw_fmllr.sh │ │ ├── decode_sgmm2.sh │ │ ├── decode_sgmm2_fromlats.sh │ │ ├── decode_sgmm2_rescore.sh │ │ ├── decode_sgmm2_rescore_project.sh │ │ ├── decode_si.sh │ │ ├── decode_with_map.sh │ │ ├── diagnostic │ │ │ ├── analyze_alignments.sh │ │ │ ├── analyze_lats.sh │ │ │ ├── analyze_lattice_depth_stats.py │ │ │ └── analyze_phone_length_stats.py │ │ ├── dict │ │ │ ├── apply_g2p.sh │ │ │ ├── apply_lexicon_edits.py │ │ │ ├── get_pron_stats.py │ │ │ ├── internal │ │ │ │ └── prune_pron_candidates.py │ │ │ ├── learn_lexicon.sh │ │ │ ├── prons_to_lexicon.py │ │ │ ├── prune_pron_candidates.py │ │ │ ├── select_prons_bayesian.py │ │ │ └── train_g2p.sh │ │ ├── generate_spk_ali.py │ │ ├── get_ctm.sh │ │ ├── get_fmllr_basis.sh │ │ ├── get_lexicon_probs.sh │ │ ├── get_num_targets.py │ │ ├── get_prons.sh │ │ ├── get_train_ctm.sh │ │ ├── info │ │ │ ├── chain_dir_info.pl │ │ │ ├── gmm_dir_info.pl │ │ │ ├── nnet2_dir_info.pl │ │ │ ├── nnet3_dir_info.pl │ │ │ └── nnet3_disc_dir_info.pl │ │ ├── kl_hmm │ │ │ ├── build_tree.sh │ │ │ ├── decode_kl_hmm.sh │ │ │ └── train_kl_hmm.sh │ │ ├── libs │ │ │ ├── __init__.py │ │ │ ├── common.py │ │ │ └── nnet3 │ │ │ │ ├── __init__.py │ │ │ │ ├── report │ │ │ │ ├── __init__.py │ │ │ │ └── log_parse.py │ │ │ │ ├── train │ │ │ │ ├── __init__.py │ │ │ │ ├── chain_objf │ │ │ │ │ ├── __init__.py │ │ │ │ │ └── acoustic_model.py │ │ │ │ ├── common.py │ │ │ │ ├── dropout_schedule.py │ │ │ │ ├── frame_level_objf │ │ │ │ │ ├── __init__.py │ │ │ │ │ ├── acoustic_model.py │ │ │ │ │ ├── common.py │ │ │ │ │ └── raw_model.py │ │ │ │ └── frame_level_objf_20180105 │ │ │ │ │ ├── __init__.py │ │ │ │ │ ├── acoustic_model.py │ │ │ │ │ ├── common.py │ │ │ │ │ └── raw_model.py │ │ │ │ └── xconfig │ │ │ │ ├── __init__.py │ │ │ │ ├── attention.py │ │ │ │ ├── basic_layers.py │ │ │ │ ├── convolution.py │ │ │ │ ├── gru.py │ │ │ │ ├── layers.py │ │ │ │ ├── lstm.py │ │ │ │ ├── parser.py │ │ │ │ ├── stats_layer.py │ │ │ │ ├── trivial_layers.py │ │ │ │ └── utils.py │ │ ├── lmrescore.sh │ │ ├── lmrescore_const_arpa.sh │ │ ├── lmrescore_rnnlm_lat.sh │ │ ├── make_denlats.sh │ │ ├── make_denlats_sgmm2.sh │ │ ├── make_fbank.sh │ │ ├── make_fbank_pitch.sh │ │ ├── make_index.sh │ │ ├── make_mfcc.sh │ │ ├── make_mfcc_pitch.sh │ │ ├── make_mfcc_pitch_online.sh │ │ ├── make_phone_graph.sh │ │ ├── make_plp.sh │ │ ├── make_plp_pitch.sh │ │ ├── nnet │ │ │ ├── align.sh │ │ │ ├── decode.sh │ │ │ ├── ivector │ │ │ │ ├── extract_ivectors.sh │ │ │ │ ├── train_diag_ubm.sh │ │ │ │ └── train_ivector_extractor.sh │ │ │ ├── make_bn_feats.sh │ │ │ ├── make_denlats.sh │ │ │ ├── make_fmllr_feats.sh │ │ │ ├── make_fmmi_feats.sh │ │ │ ├── make_priors.sh │ │ │ ├── pretrain_dbn.sh │ │ │ ├── train.sh │ │ │ ├── train_mmi.sh │ │ │ ├── train_mpe.sh │ │ │ └── train_scheduler.sh │ │ ├── nnet2 │ │ │ ├── adjust_priors.sh │ │ │ ├── align.sh │ │ │ ├── check_ivectors_compatible.sh │ │ │ ├── convert_lda_to_raw.sh │ │ │ ├── convert_nnet1_to_nnet2.sh │ │ │ ├── create_appended_model.sh │ │ │ ├── decode.sh │ │ │ ├── dump_bottleneck_features.sh │ │ │ ├── get_egs.sh │ │ │ ├── get_egs2.sh │ │ │ ├── get_egs_discriminative2.sh │ │ │ ├── get_ivector_id.sh │ │ │ ├── get_lda.sh │ │ │ ├── get_lda_block.sh │ │ │ ├── get_num_frames.sh │ │ │ ├── get_perturbed_feats.sh │ │ │ ├── make_denlats.sh │ │ │ ├── make_multisplice_configs.py │ │ │ ├── relabel_egs.sh │ │ │ ├── relabel_egs2.sh │ │ │ ├── remove_egs.sh │ │ │ ├── retrain_fast.sh │ │ │ ├── retrain_simple2.sh │ │ │ ├── retrain_tanh.sh │ │ │ ├── train_block.sh │ │ │ ├── train_convnet_accel2.sh │ │ │ ├── train_discriminative.sh │ │ │ ├── train_discriminative2.sh │ │ │ ├── train_discriminative_multilang2.sh │ │ │ ├── train_more.sh │ │ │ ├── train_more2.sh │ │ │ ├── train_multilang2.sh │ │ │ ├── train_multisplice_accel2.sh │ │ │ ├── train_multisplice_ensemble.sh │ │ │ ├── train_pnorm.sh │ │ │ ├── train_pnorm_accel2.sh │ │ │ ├── train_pnorm_bottleneck_fast.sh │ │ │ ├── train_pnorm_ensemble.sh │ │ │ ├── train_pnorm_fast.sh │ │ │ ├── train_pnorm_multisplice.sh │ │ │ ├── train_pnorm_multisplice2.sh │ │ │ ├── train_pnorm_simple.sh │ │ │ ├── train_pnorm_simple2.sh │ │ │ ├── train_tanh.sh │ │ │ ├── train_tanh_bottleneck.sh │ │ │ ├── train_tanh_fast.sh │ │ │ └── update_nnet.sh │ │ ├── nnet3 │ │ │ ├── adjust_priors.sh │ │ │ ├── align.sh │ │ │ ├── align_cvector.sh │ │ │ ├── align_lats.sh │ │ │ ├── chain │ │ │ │ ├── build_tree.sh │ │ │ │ ├── gen_topo.pl │ │ │ │ ├── gen_topo.py │ │ │ │ ├── gen_topo2.py │ │ │ │ ├── gen_topo3.py │ │ │ │ ├── gen_topo4.py │ │ │ │ ├── gen_topo5.py │ │ │ │ ├── gen_topo_orig.py │ │ │ │ ├── get_egs.sh │ │ │ │ ├── make_weighted_den_fst.sh │ │ │ │ ├── train.py │ │ │ │ └── train_tdnn.sh │ │ │ ├── combined_vector │ │ │ │ └── train_combined_dnn.py │ │ │ ├── components.py │ │ │ ├── compute_output.sh │ │ │ ├── convert_nnet2_to_nnet3.py │ │ │ ├── cvector │ │ │ │ └── get_model_from_raw.sh │ │ │ ├── decode.sh │ │ │ ├── decode_cvector.sh │ │ │ ├── decode_looped.sh │ │ │ ├── decode_wcmvn.sh │ │ │ ├── dot │ │ │ │ ├── descriptor_parser.py │ │ │ │ └── nnet3_to_dot.py │ │ │ ├── get_degs.sh │ │ │ ├── get_egs.sh │ │ │ ├── get_egs_discriminative.sh │ │ │ ├── get_egs_raw_train_valid.sh │ │ │ ├── get_egs_targets.sh │ │ │ ├── get_egs_train_valid.sh │ │ │ ├── get_saturation.pl │ │ │ ├── get_successful_models.py │ │ │ ├── lstm │ │ │ │ ├── make_configs.py │ │ │ │ └── train.sh │ │ │ ├── make_bottleneck_features.sh │ │ │ ├── make_bottleneck_features_new.sh │ │ │ ├── make_denlats.sh │ │ │ ├── make_tdnn_configs.py │ │ │ ├── multilingual │ │ │ │ ├── allocate_multilingual_examples.py │ │ │ │ └── combine_egs.sh │ │ │ ├── nnet3_make_bottleneck.sh │ │ │ ├── nnet3_make_bottleneck_dvector.sh │ │ │ ├── nnet3_to_dot.sh │ │ │ ├── report │ │ │ │ ├── generate_plots.py │ │ │ │ └── summarize_compute_debug_timing.py │ │ │ ├── tdnn │ │ │ │ ├── make_configs.py │ │ │ │ ├── train.sh │ │ │ │ └── train_raw_nnet.sh │ │ │ ├── train_cvector_dnn.py │ │ │ ├── train_discriminative.sh │ │ │ ├── train_dnn.py │ │ │ ├── train_dnn_new.py │ │ │ ├── train_raw_dnn.py │ │ │ ├── train_raw_dnn_new.py │ │ │ ├── train_raw_rnn.py │ │ │ ├── train_rnn.py │ │ │ ├── train_tdnn.sh │ │ │ ├── xconfig_to_configs.py │ │ │ ├── xconfig_to_configs_multiple_input.py │ │ │ └── xconfig_to_configs_new.py │ │ ├── online │ │ │ ├── decode.sh │ │ │ ├── nnet2 │ │ │ │ ├── align.sh │ │ │ │ ├── copy_data_dir.sh │ │ │ │ ├── copy_ivector_dir.sh │ │ │ │ ├── decode.sh │ │ │ │ ├── dump_nnet_activations.sh │ │ │ │ ├── extract_ivectors.sh │ │ │ │ ├── extract_ivectors_online.sh │ │ │ │ ├── get_egs.sh │ │ │ │ ├── get_egs2.sh │ │ │ │ ├── get_egs_discriminative2.sh │ │ │ │ ├── get_pca_transform.sh │ │ │ │ ├── make_denlats.sh │ │ │ │ ├── prepare_online_decoding.sh │ │ │ │ ├── prepare_online_decoding_retrain.sh │ │ │ │ ├── prepare_online_decoding_transfer.sh │ │ │ │ ├── train_diag_ubm.sh │ │ │ │ └── train_ivector_extractor.sh │ │ │ ├── nnet3 │ │ │ │ ├── decode.sh │ │ │ │ └── prepare_online_decoding.sh │ │ │ └── prepare_online_decoding.sh │ │ ├── oracle_wer.sh │ │ ├── paste_feats.sh │ │ ├── resegment_data.sh │ │ ├── resegment_text.sh │ │ ├── rnnlmrescore.sh │ │ ├── score_kaldi.sh │ │ ├── score_kaldi_compare.sh │ │ ├── scoring │ │ │ ├── score_kaldi_cer.sh │ │ │ ├── score_kaldi_compare.sh │ │ │ └── score_kaldi_wer.sh │ │ ├── search_index.sh │ │ ├── select_feats.sh │ │ ├── shift_feats.sh │ │ ├── tandem │ │ │ ├── align_fmllr.sh │ │ │ ├── align_sgmm2.sh │ │ │ ├── align_si.sh │ │ │ ├── decode.sh │ │ │ ├── decode_fmllr.sh │ │ │ ├── decode_sgmm2.sh │ │ │ ├── decode_si.sh │ │ │ ├── make_denlats.sh │ │ │ ├── make_denlats_sgmm2.sh │ │ │ ├── mk_aslf_lda_mllt.sh │ │ │ ├── mk_aslf_sgmm2.sh │ │ │ ├── train_deltas.sh │ │ │ ├── train_lda_mllt.sh │ │ │ ├── train_mllt.sh │ │ │ ├── train_mmi.sh │ │ │ ├── train_mmi_sgmm2.sh │ │ │ ├── train_mono.sh │ │ │ ├── train_sat.sh │ │ │ ├── train_sgmm2.sh │ │ │ └── train_ubm.sh │ │ ├── train_deltas.sh │ │ ├── train_diag_ubm.sh │ │ ├── train_lda_mllt.sh │ │ ├── train_lvtln.sh │ │ ├── train_map.sh │ │ ├── train_mmi.sh │ │ ├── train_mmi_fmmi.sh │ │ ├── train_mmi_fmmi_indirect.sh │ │ ├── train_mmi_sgmm2.sh │ │ ├── train_mono.sh │ │ ├── train_mono_further.sh │ │ ├── train_mpe.sh │ │ ├── train_nnet.sh │ │ ├── train_quick.sh │ │ ├── train_raw_sat.sh │ │ ├── train_sat.sh │ │ ├── train_sat_basis.sh │ │ ├── train_segmenter.sh │ │ ├── train_sgmm2.sh │ │ ├── train_sgmm2_group.sh │ │ ├── train_smbr.sh │ │ ├── train_ubm.sh │ │ └── word_align_lattices.sh │ └── utils │ │ ├── add_disambig.pl │ │ ├── add_lex_disambig.pl │ │ ├── analyze_segments.pl │ │ ├── apply_map.pl │ │ ├── best_wer.sh │ │ ├── build_const_arpa_lm.sh │ │ ├── combine_data.sh │ │ ├── combine_vad_phone_align.py │ │ ├── combine_vad_phone_align_aux.py │ │ ├── convert_ctm.pl │ │ ├── convert_data_segment_to_utt.sh │ │ ├── convert_phone_set.py │ │ ├── convert_slf.pl │ │ ├── convert_slf_parallel.sh │ │ ├── convert_to_lab.sh │ │ ├── copy_data_dir.sh │ │ ├── copy_data_dir_new.sh │ │ ├── create_data_link.pl │ │ ├── create_split_dir.pl │ │ ├── data │ │ ├── combine_data.sh │ │ ├── combine_short_segments.sh │ │ ├── convert_data_dir_to_whole.sh │ │ ├── copy_data_dir.sh │ │ ├── extend_segment_times.py │ │ ├── find_dup_utts.sh │ │ ├── fix_data_dir.sh │ │ ├── fix_subsegment_feats.pl │ │ ├── get_frame_shift.sh │ │ ├── get_num_frames.sh │ │ ├── get_segments_for_data.sh │ │ ├── get_uniform_subsegments.py │ │ ├── get_utt2dur.sh │ │ ├── get_utt2num_frames.sh │ │ ├── internal │ │ │ ├── choose_utts_to_combine.py │ │ │ └── modify_speaker_info.py │ │ ├── limit_feature_dim.sh │ │ ├── modify_speaker_info.sh │ │ ├── normalize_data_range.pl │ │ ├── perturb_data_dir_speed.sh │ │ ├── perturb_data_dir_speed_3way.sh │ │ ├── perturb_data_dir_volume.sh │ │ ├── remove_dup_utts.sh │ │ ├── remove_noise_utts.sh │ │ ├── remove_oov_utts.sh │ │ ├── remove_short_utts.sh │ │ ├── shift_and_combine_feats.sh │ │ ├── shift_feats.sh │ │ ├── sort_by_freq.py │ │ ├── split_data.sh │ │ ├── subsegment_data_dir.sh │ │ ├── subset_data_dir.sh │ │ └── validate_data_dir.sh │ │ ├── dict_dir_add_pronprobs.sh │ │ ├── eps2disambig.pl │ │ ├── filt.py │ │ ├── filter_scp.pl │ │ ├── filter_scps.pl │ │ ├── find_arpa_oovs.pl │ │ ├── fix_ctm.sh │ │ ├── fix_data_dir.sh │ │ ├── fix_segment_spk2gender.py │ │ ├── fix_sre04.py │ │ ├── fix_sre05.py │ │ ├── fix_sre06.py │ │ ├── fix_sre08.py │ │ ├── fix_sre10.py │ │ ├── fix_swbd.py │ │ ├── fix_swbd_cell.py │ │ ├── format_lm.sh │ │ ├── format_lm_sri.sh │ │ ├── gen_topo.pl │ │ ├── int2sym.pl │ │ ├── kwslist_post_process.pl │ │ ├── lang │ │ ├── add_lex_disambig.pl │ │ ├── check_g_properties.pl │ │ ├── check_phones_compatible.sh │ │ ├── internal │ │ │ ├── apply_unk_lm.sh │ │ │ ├── arpa2fst_constrained.py │ │ │ └── modify_unk_pron.py │ │ ├── make_phone_bigram_lang.sh │ │ ├── make_phone_lm.py │ │ ├── make_unk_lm.sh │ │ ├── prepare_lang.sh │ │ ├── validate_disambig_sym_file.pl │ │ └── validate_lang.pl │ │ ├── ln.pl │ │ ├── make_absolute.sh │ │ ├── make_lexicon_fst.pl │ │ ├── make_lexicon_fst_silprob.pl │ │ ├── make_unigram_grammar.pl │ │ ├── map_arpa_lm.pl │ │ ├── max_index.py │ │ ├── mkgraph.sh │ │ ├── nnet-cpu │ │ ├── make_nnet_config.pl │ │ ├── make_nnet_config_block.pl │ │ ├── make_nnet_config_preconditioned.pl │ │ └── update_learning_rates.pl │ │ ├── nnet │ │ ├── gen_dct_mat.py │ │ ├── gen_hamm_mat.py │ │ ├── gen_splice.py │ │ ├── make_blstm_proto.py │ │ ├── make_cnn2d_proto.py │ │ ├── make_cnn_proto.py │ │ ├── make_lstm_proto.py │ │ └── make_nnet_proto.py │ │ ├── parallel │ │ └── limit_num_gpus.sh │ │ ├── parse_options.sh │ │ ├── pbs.pl │ │ ├── perturb_data_dir_speed.sh │ │ ├── pinyin_map.pl │ │ ├── prepare_lang.sh │ │ ├── prepare_online_nnet_dist_build.sh │ │ ├── queue.pl │ │ ├── recover_scores.py │ │ ├── remove_data_links.sh │ │ ├── remove_oovs.pl │ │ ├── reverse_arpa.py │ │ ├── rnnlm_compute_scores.sh │ │ ├── run.pl │ │ ├── s2eps.pl │ │ ├── sample_validset_spk2utt.py │ │ ├── scoring │ │ ├── wer_ops_details.pl │ │ ├── wer_per_spk_details.pl │ │ ├── wer_per_utt_details.pl │ │ └── wer_report.pl │ │ ├── segmentation.pl │ │ ├── show_lattice.sh │ │ ├── show_max_len_per_spk.py │ │ ├── shuffle_list.pl │ │ ├── slurm.pl │ │ ├── sort_data_dir_by_len.py │ │ ├── spk2utt_to_utt2spk.pl │ │ ├── split_data.sh │ │ ├── split_scp.pl │ │ ├── ssh.pl │ │ ├── subset_data_dir.sh │ │ ├── subset_data_dir_per_gender.sh │ │ ├── subset_data_dir_per_spk_len.sh │ │ ├── subset_data_dir_tr_cv.sh │ │ ├── subset_scp.pl │ │ ├── summarize_logs.pl │ │ ├── summarize_warnings.pl │ │ ├── sym2int.pl │ │ ├── utt2spk_to_spk2utt.pl │ │ ├── validate_data_dir.sh │ │ ├── validate_dict_dir.pl │ │ ├── validate_lang.pl │ │ └── write_kwslist.pl │ ├── v2 │ ├── cmd.sh │ ├── conf │ │ ├── mfcc.conf │ │ └── vad.conf │ ├── local │ │ ├── dict.patch │ │ ├── dnn │ │ │ ├── README │ │ │ ├── fisher_create_test_lang.sh │ │ │ ├── fisher_data_prep.sh │ │ │ ├── fisher_fix_speakerid.pl │ │ │ ├── fisher_prepare_dict.sh │ │ │ ├── fisher_train_lms.sh │ │ │ ├── remove_dup_utts.sh │ │ │ ├── run_nnet2_common.sh │ │ │ ├── run_nnet2_multisplice.sh │ │ │ └── train_dnn.sh │ │ ├── fisher_create_test_lang.sh │ │ ├── fisher_data_prep.sh │ │ ├── fisher_fix_speakerid.pl │ │ ├── fisher_prepare_dict.sh │ │ ├── fisher_swbd_prepare_dict.sh │ │ ├── fisher_train_lms.sh │ │ ├── format_acronyms_dict.py │ │ ├── make_musan.py │ │ ├── make_musan.sh │ │ ├── make_mx6.sh │ │ ├── make_mx6_calls.pl │ │ ├── make_mx6_mic.pl │ │ ├── make_sre.pl │ │ ├── make_sre.sh │ │ ├── make_sre08.pl │ │ ├── make_sre10.pl │ │ ├── make_sre10_10sec.py │ │ ├── make_sre10_coreext_c5.py │ │ ├── make_sre16_eval.pl │ │ ├── make_sre16_unlabeled.pl │ │ ├── make_swbd2_phase1.pl │ │ ├── make_swbd2_phase2.pl │ │ ├── make_swbd2_phase3.pl │ │ ├── make_swbd_cellular1.pl │ │ ├── make_swbd_cellular2.pl │ │ ├── map_acronyms_transcripts.py │ │ ├── nnet3 │ │ │ └── xvector │ │ │ │ ├── prepare_feats_for_egs.sh │ │ │ │ ├── prepare_feats_for_egs_new.sh │ │ │ │ ├── run_xvector.sh │ │ │ │ ├── run_xvector_new.sh │ │ │ │ ├── run_xvector_pa_wo_pretrain.sh │ │ │ │ └── tuning │ │ │ │ └── run_xvector_1a.sh │ │ ├── nnet3_cvector │ │ │ ├── cvector │ │ │ │ ├── prepare_nnet3_xconfig.sh │ │ │ │ ├── prepare_nnet3_xconfig_2share.sh │ │ │ │ ├── prepare_nnet3_xconfig_3share.sh │ │ │ │ ├── prepare_nnet3_xconfig_4share.sh │ │ │ │ ├── train_am.sh │ │ │ │ ├── train_cvector.sh │ │ │ │ ├── train_cvector_with_am.sh │ │ │ │ ├── train_cvector_with_am_2share.sh │ │ │ │ ├── train_cvector_with_am_3share.sh │ │ │ │ └── train_xvector_with_am.sh │ │ │ └── xvector │ │ │ │ ├── prepare_feats_for_egs.sh │ │ │ │ ├── prepare_feats_for_egs_new.sh │ │ │ │ ├── run_dvector.sh │ │ │ │ ├── run_xvector.sh │ │ │ │ ├── run_xvector_new.sh │ │ │ │ └── tuning │ │ │ │ └── run_xvector_1a.sh │ │ ├── swbd1_data_download.sh │ │ ├── swbd1_data_prep.sh │ │ └── swbd1_map_words.pl │ ├── path.sh │ ├── run_sre10.sh │ ├── run_sre16.sh │ ├── sid │ │ ├── compute_vad_decision.sh │ │ ├── compute_vad_decision_gmm.sh │ │ ├── extract_ivectors.sh │ │ ├── extract_ivectors_dnn.sh │ │ ├── extract_ivectors_nnet3.sh │ │ ├── extract_ivectors_nnet3.sh.bak │ │ ├── extract_post_nnet3.sh │ │ ├── gender_id.sh │ │ ├── init_full_ubm_from_dnn.sh │ │ ├── init_full_ubm_from_nnet3.sh │ │ ├── music_id.sh │ │ ├── nnet2 │ │ │ ├── get_egs2.sh │ │ │ ├── get_lda.sh │ │ │ └── train_multisplice_accel2.sh │ │ ├── nnet3 │ │ │ └── xvector │ │ │ │ ├── allocate_egs.py │ │ │ │ ├── allocate_egs_dvector.py │ │ │ │ ├── allocate_egs_new.py │ │ │ │ ├── extract_output_new.sh │ │ │ │ ├── extract_xvectors.sh │ │ │ │ ├── extract_xvectors_new.sh │ │ │ │ ├── get_egs.sh │ │ │ │ ├── get_egs_dvector.sh │ │ │ │ ├── get_egs_framebyframe.sh │ │ │ │ ├── get_egs_new.sh │ │ │ │ ├── tf_extract_activations_for_analysis.sh │ │ │ │ ├── tf_extract_weights.sh │ │ │ │ ├── tf_extract_xvectors_new.sh │ │ │ │ └── tf_extract_xvectors_with_text.sh │ │ ├── nnet3_cvector │ │ │ ├── am │ │ │ │ └── extract_bn.sh │ │ │ ├── cvector │ │ │ │ ├── allocate_egs_new.py │ │ │ │ ├── extract_am_embedding.sh │ │ │ │ ├── extract_cvectors_with_am.sh │ │ │ │ ├── extract_cvectors_with_embedding.sh │ │ │ │ ├── extract_log_post.sh │ │ │ │ ├── extract_output_with_am.sh │ │ │ │ ├── extract_xvectors_new.sh │ │ │ │ ├── get_egs_am.sh │ │ │ │ ├── get_egs_cvector.sh │ │ │ │ ├── get_egs_with_ali_from_xvec_egs.sh │ │ │ │ ├── get_egs_xvec.sh │ │ │ │ ├── get_egs_xvec_with_embedding.sh │ │ │ │ ├── get_egs_xvec_with_feat.sh │ │ │ │ ├── prepare_ali_and_phones.sh │ │ │ │ ├── prepare_embedding.sh │ │ │ │ ├── prepare_feats.sh │ │ │ │ ├── prepare_feats_from_nosil.sh │ │ │ │ └── train_cvector_with_am_expand.sh │ │ │ └── xvector │ │ │ │ ├── allocate_egs.py │ │ │ │ ├── allocate_egs_dvector.py │ │ │ │ ├── allocate_egs_new.py │ │ │ │ ├── extract_xvectors.sh │ │ │ │ ├── extract_xvectors_new.sh │ │ │ │ ├── get_egs.sh │ │ │ │ ├── get_egs_dvector.sh │ │ │ │ ├── get_egs_framebyframe.sh │ │ │ │ └── get_egs_new.sh │ │ ├── train_diag_ubm.sh │ │ ├── train_full_ubm.sh │ │ ├── train_ivector_extractor.sh │ │ ├── train_ivector_extractor_dnn.sh │ │ └── train_ivector_extractor_nnet3.sh │ ├── steps │ │ ├── align_basis_fmllr.sh │ │ ├── align_fmllr.sh │ │ ├── align_fmllr_lats.sh │ │ ├── align_fmllr_new.sh │ │ ├── align_lvtln.sh │ │ ├── align_raw_fmllr.sh │ │ ├── align_sgmm2.sh │ │ ├── align_si.sh │ │ ├── append_feats.sh │ │ ├── cleanup │ │ │ ├── clean_and_segment_data.sh │ │ │ ├── combine_short_segments.py │ │ │ ├── create_segments_from_ctm.pl │ │ │ ├── debug_lexicon.sh │ │ │ ├── decode_fmllr_segmentation.sh │ │ │ ├── decode_segmentation.sh │ │ │ ├── find_bad_utts.sh │ │ │ ├── find_bad_utts_nnet.sh │ │ │ ├── internal │ │ │ │ ├── align_ctm_ref.py │ │ │ │ ├── compute_tf_idf.py │ │ │ │ ├── ctm_to_text.pl │ │ │ │ ├── get_ctm.sh │ │ │ │ ├── get_ctm_edits.py │ │ │ │ ├── get_non_scored_words.py │ │ │ │ ├── get_pron_stats.py │ │ │ │ ├── make_one_biased_lm.py │ │ │ │ ├── modify_ctm_edits.py │ │ │ │ ├── resolve_ctm_edits_overlaps.py │ │ │ │ ├── retrieve_similar_docs.py │ │ │ │ ├── segment_ctm_edits.py │ │ │ │ ├── segment_ctm_edits_mild.py │ │ │ │ ├── split_text_into_docs.pl │ │ │ │ ├── stitch_documents.py │ │ │ │ ├── taint_ctm_edits.py │ │ │ │ └── tf_idf.py │ │ │ ├── lattice_oracle_align.sh │ │ │ ├── make_biased_lm_graphs.sh │ │ │ ├── make_biased_lms.py │ │ │ ├── make_segmentation_data_dir.sh │ │ │ ├── make_segmentation_graph.sh │ │ │ ├── make_utterance_fsts.pl │ │ │ ├── make_utterance_graph.sh │ │ │ ├── segment_long_utterances.sh │ │ │ └── split_long_utterance.sh │ │ ├── combine_ali_dirs.sh │ │ ├── compute_cmvn_stats.sh │ │ ├── conf │ │ │ ├── append_eval_to_ctm.py │ │ │ ├── append_prf_to_ctm.py │ │ │ ├── apply_calibration.sh │ │ │ ├── convert_ctm_to_tra.py │ │ │ ├── lattice_depth_per_frame.sh │ │ │ ├── parse_arpa_unigrams.py │ │ │ ├── prepare_calibration_data.py │ │ │ ├── prepare_word_categories.py │ │ │ └── train_calibration.sh │ │ ├── data │ │ │ ├── augment_data_dir.py │ │ │ ├── augment_data_dir_new.py │ │ │ ├── data_dir_manipulation_lib.py │ │ │ └── reverberate_data_dir.py │ │ ├── decode.sh │ │ ├── decode_basis_fmllr.sh │ │ ├── decode_biglm.sh │ │ ├── decode_combine.sh │ │ ├── decode_fmllr.sh │ │ ├── decode_fmllr_extra.sh │ │ ├── decode_fmmi.sh │ │ ├── decode_fromlats.sh │ │ ├── decode_lvtln.sh │ │ ├── decode_nnet.sh │ │ ├── decode_nolats.sh │ │ ├── decode_raw_fmllr.sh │ │ ├── decode_sgmm2.sh │ │ ├── decode_sgmm2_fromlats.sh │ │ ├── decode_sgmm2_rescore.sh │ │ ├── decode_sgmm2_rescore_project.sh │ │ ├── decode_si.sh │ │ ├── decode_with_map.sh │ │ ├── diagnostic │ │ │ ├── analyze_alignments.sh │ │ │ ├── analyze_lats.sh │ │ │ ├── analyze_lattice_depth_stats.py │ │ │ └── analyze_phone_length_stats.py │ │ ├── dict │ │ │ ├── apply_g2p.sh │ │ │ ├── apply_lexicon_edits.py │ │ │ ├── get_pron_stats.py │ │ │ ├── internal │ │ │ │ └── prune_pron_candidates.py │ │ │ ├── learn_lexicon.sh │ │ │ ├── prons_to_lexicon.py │ │ │ ├── prune_pron_candidates.py │ │ │ ├── select_prons_bayesian.py │ │ │ └── train_g2p.sh │ │ ├── generate_spk_ali.py │ │ ├── get_ctm.sh │ │ ├── get_fmllr_basis.sh │ │ ├── get_lexicon_probs.sh │ │ ├── get_num_targets.py │ │ ├── get_prons.sh │ │ ├── get_train_ctm.sh │ │ ├── info │ │ │ ├── chain_dir_info.pl │ │ │ ├── gmm_dir_info.pl │ │ │ ├── nnet2_dir_info.pl │ │ │ ├── nnet3_dir_info.pl │ │ │ └── nnet3_disc_dir_info.pl │ │ ├── kl_hmm │ │ │ ├── build_tree.sh │ │ │ ├── decode_kl_hmm.sh │ │ │ └── train_kl_hmm.sh │ │ ├── libs │ │ │ ├── __init__.py │ │ │ ├── common.py │ │ │ └── nnet3 │ │ │ │ ├── __init__.py │ │ │ │ ├── report │ │ │ │ ├── __init__.py │ │ │ │ └── log_parse.py │ │ │ │ ├── train │ │ │ │ ├── __init__.py │ │ │ │ ├── chain_objf │ │ │ │ │ ├── __init__.py │ │ │ │ │ └── acoustic_model.py │ │ │ │ ├── common.py │ │ │ │ ├── dropout_schedule.py │ │ │ │ ├── frame_level_objf │ │ │ │ │ ├── __init__.py │ │ │ │ │ ├── acoustic_model.py │ │ │ │ │ ├── common.py │ │ │ │ │ └── raw_model.py │ │ │ │ └── frame_level_objf_20180105 │ │ │ │ │ ├── __init__.py │ │ │ │ │ ├── acoustic_model.py │ │ │ │ │ ├── common.py │ │ │ │ │ └── raw_model.py │ │ │ │ └── xconfig │ │ │ │ ├── __init__.py │ │ │ │ ├── attention.py │ │ │ │ ├── basic_layers.py │ │ │ │ ├── convolution.py │ │ │ │ ├── gru.py │ │ │ │ ├── layers.py │ │ │ │ ├── lstm.py │ │ │ │ ├── parser.py │ │ │ │ ├── stats_layer.py │ │ │ │ ├── trivial_layers.py │ │ │ │ └── utils.py │ │ ├── lmrescore.sh │ │ ├── lmrescore_const_arpa.sh │ │ ├── lmrescore_rnnlm_lat.sh │ │ ├── make_denlats.sh │ │ ├── make_denlats_sgmm2.sh │ │ ├── make_fbank.sh │ │ ├── make_fbank_pitch.sh │ │ ├── make_index.sh │ │ ├── make_mfcc.sh │ │ ├── make_mfcc_pitch.sh │ │ ├── make_mfcc_pitch_online.sh │ │ ├── make_phone_graph.sh │ │ ├── make_plp.sh │ │ ├── make_plp_pitch.sh │ │ ├── nnet │ │ │ ├── align.sh │ │ │ ├── decode.sh │ │ │ ├── ivector │ │ │ │ ├── extract_ivectors.sh │ │ │ │ ├── train_diag_ubm.sh │ │ │ │ └── train_ivector_extractor.sh │ │ │ ├── make_bn_feats.sh │ │ │ ├── make_denlats.sh │ │ │ ├── make_fmllr_feats.sh │ │ │ ├── make_fmmi_feats.sh │ │ │ ├── make_priors.sh │ │ │ ├── pretrain_dbn.sh │ │ │ ├── train.sh │ │ │ ├── train_mmi.sh │ │ │ ├── train_mpe.sh │ │ │ └── train_scheduler.sh │ │ ├── nnet2 │ │ │ ├── adjust_priors.sh │ │ │ ├── align.sh │ │ │ ├── check_ivectors_compatible.sh │ │ │ ├── convert_lda_to_raw.sh │ │ │ ├── convert_nnet1_to_nnet2.sh │ │ │ ├── create_appended_model.sh │ │ │ ├── decode.sh │ │ │ ├── dump_bottleneck_features.sh │ │ │ ├── get_egs.sh │ │ │ ├── get_egs2.sh │ │ │ ├── get_egs_discriminative2.sh │ │ │ ├── get_ivector_id.sh │ │ │ ├── get_lda.sh │ │ │ ├── get_lda_block.sh │ │ │ ├── get_num_frames.sh │ │ │ ├── get_perturbed_feats.sh │ │ │ ├── make_denlats.sh │ │ │ ├── make_multisplice_configs.py │ │ │ ├── relabel_egs.sh │ │ │ ├── relabel_egs2.sh │ │ │ ├── remove_egs.sh │ │ │ ├── retrain_fast.sh │ │ │ ├── retrain_simple2.sh │ │ │ ├── retrain_tanh.sh │ │ │ ├── train_block.sh │ │ │ ├── train_convnet_accel2.sh │ │ │ ├── train_discriminative.sh │ │ │ ├── train_discriminative2.sh │ │ │ ├── train_discriminative_multilang2.sh │ │ │ ├── train_more.sh │ │ │ ├── train_more2.sh │ │ │ ├── train_multilang2.sh │ │ │ ├── train_multisplice_accel2.sh │ │ │ ├── train_multisplice_ensemble.sh │ │ │ ├── train_pnorm.sh │ │ │ ├── train_pnorm_accel2.sh │ │ │ ├── train_pnorm_bottleneck_fast.sh │ │ │ ├── train_pnorm_ensemble.sh │ │ │ ├── train_pnorm_fast.sh │ │ │ ├── train_pnorm_multisplice.sh │ │ │ ├── train_pnorm_multisplice2.sh │ │ │ ├── train_pnorm_simple.sh │ │ │ ├── train_pnorm_simple2.sh │ │ │ ├── train_tanh.sh │ │ │ ├── train_tanh_bottleneck.sh │ │ │ ├── train_tanh_fast.sh │ │ │ └── update_nnet.sh │ │ ├── nnet3 │ │ │ ├── adjust_priors.sh │ │ │ ├── align.sh │ │ │ ├── align_cvector.sh │ │ │ ├── align_lats.sh │ │ │ ├── chain │ │ │ │ ├── build_tree.sh │ │ │ │ ├── gen_topo.pl │ │ │ │ ├── gen_topo.py │ │ │ │ ├── gen_topo2.py │ │ │ │ ├── gen_topo3.py │ │ │ │ ├── gen_topo4.py │ │ │ │ ├── gen_topo5.py │ │ │ │ ├── gen_topo_orig.py │ │ │ │ ├── get_egs.sh │ │ │ │ ├── make_weighted_den_fst.sh │ │ │ │ ├── train.py │ │ │ │ └── train_tdnn.sh │ │ │ ├── combined_vector │ │ │ │ └── train_combined_dnn.py │ │ │ ├── components.py │ │ │ ├── compute_output.sh │ │ │ ├── convert_nnet2_to_nnet3.py │ │ │ ├── cvector │ │ │ │ └── get_model_from_raw.sh │ │ │ ├── decode.sh │ │ │ ├── decode_cvector.sh │ │ │ ├── decode_looped.sh │ │ │ ├── decode_wcmvn.sh │ │ │ ├── dot │ │ │ │ ├── descriptor_parser.py │ │ │ │ └── nnet3_to_dot.py │ │ │ ├── get_degs.sh │ │ │ ├── get_egs.sh │ │ │ ├── get_egs_discriminative.sh │ │ │ ├── get_egs_raw_train_valid.sh │ │ │ ├── get_egs_targets.sh │ │ │ ├── get_egs_train_valid.sh │ │ │ ├── get_saturation.pl │ │ │ ├── get_successful_models.py │ │ │ ├── lstm │ │ │ │ ├── make_configs.py │ │ │ │ └── train.sh │ │ │ ├── make_bottleneck_features.sh │ │ │ ├── make_bottleneck_features_new.sh │ │ │ ├── make_denlats.sh │ │ │ ├── make_tdnn_configs.py │ │ │ ├── multilingual │ │ │ │ ├── allocate_multilingual_examples.py │ │ │ │ └── combine_egs.sh │ │ │ ├── nnet3_make_bottleneck.sh │ │ │ ├── nnet3_make_bottleneck_dvector.sh │ │ │ ├── nnet3_to_dot.sh │ │ │ ├── report │ │ │ │ ├── generate_plots.py │ │ │ │ └── summarize_compute_debug_timing.py │ │ │ ├── tdnn │ │ │ │ ├── make_configs.py │ │ │ │ ├── train.sh │ │ │ │ └── train_raw_nnet.sh │ │ │ ├── train_cvector_dnn.py │ │ │ ├── train_discriminative.sh │ │ │ ├── train_dnn.py │ │ │ ├── train_dnn_new.py │ │ │ ├── train_raw_dnn.py │ │ │ ├── train_raw_dnn_new.py │ │ │ ├── train_raw_rnn.py │ │ │ ├── train_rnn.py │ │ │ ├── train_tdnn.sh │ │ │ ├── xconfig_to_configs.py │ │ │ ├── xconfig_to_configs_multiple_input.py │ │ │ └── xconfig_to_configs_new.py │ │ ├── online │ │ │ ├── decode.sh │ │ │ ├── nnet2 │ │ │ │ ├── align.sh │ │ │ │ ├── copy_data_dir.sh │ │ │ │ ├── copy_ivector_dir.sh │ │ │ │ ├── decode.sh │ │ │ │ ├── dump_nnet_activations.sh │ │ │ │ ├── extract_ivectors.sh │ │ │ │ ├── extract_ivectors_online.sh │ │ │ │ ├── get_egs.sh │ │ │ │ ├── get_egs2.sh │ │ │ │ ├── get_egs_discriminative2.sh │ │ │ │ ├── get_pca_transform.sh │ │ │ │ ├── make_denlats.sh │ │ │ │ ├── prepare_online_decoding.sh │ │ │ │ ├── prepare_online_decoding_retrain.sh │ │ │ │ ├── prepare_online_decoding_transfer.sh │ │ │ │ ├── train_diag_ubm.sh │ │ │ │ └── train_ivector_extractor.sh │ │ │ ├── nnet3 │ │ │ │ ├── decode.sh │ │ │ │ └── prepare_online_decoding.sh │ │ │ └── prepare_online_decoding.sh │ │ ├── oracle_wer.sh │ │ ├── paste_feats.sh │ │ ├── resegment_data.sh │ │ ├── resegment_text.sh │ │ ├── rnnlmrescore.sh │ │ ├── score_kaldi.sh │ │ ├── score_kaldi_compare.sh │ │ ├── scoring │ │ │ ├── score_kaldi_cer.sh │ │ │ ├── score_kaldi_compare.sh │ │ │ └── score_kaldi_wer.sh │ │ ├── search_index.sh │ │ ├── select_feats.sh │ │ ├── shift_feats.sh │ │ ├── tandem │ │ │ ├── align_fmllr.sh │ │ │ ├── align_sgmm2.sh │ │ │ ├── align_si.sh │ │ │ ├── decode.sh │ │ │ ├── decode_fmllr.sh │ │ │ ├── decode_sgmm2.sh │ │ │ ├── decode_si.sh │ │ │ ├── make_denlats.sh │ │ │ ├── make_denlats_sgmm2.sh │ │ │ ├── mk_aslf_lda_mllt.sh │ │ │ ├── mk_aslf_sgmm2.sh │ │ │ ├── train_deltas.sh │ │ │ ├── train_lda_mllt.sh │ │ │ ├── train_mllt.sh │ │ │ ├── train_mmi.sh │ │ │ ├── train_mmi_sgmm2.sh │ │ │ ├── train_mono.sh │ │ │ ├── train_sat.sh │ │ │ ├── train_sgmm2.sh │ │ │ └── train_ubm.sh │ │ ├── train_deltas.sh │ │ ├── train_diag_ubm.sh │ │ ├── train_lda_mllt.sh │ │ ├── train_lvtln.sh │ │ ├── train_map.sh │ │ ├── train_mmi.sh │ │ ├── train_mmi_fmmi.sh │ │ ├── train_mmi_fmmi_indirect.sh │ │ ├── train_mmi_sgmm2.sh │ │ ├── train_mono.sh │ │ ├── train_mono_further.sh │ │ ├── train_mpe.sh │ │ ├── train_nnet.sh │ │ ├── train_quick.sh │ │ ├── train_raw_sat.sh │ │ ├── train_sat.sh │ │ ├── train_sat_basis.sh │ │ ├── train_segmenter.sh │ │ ├── train_sgmm2.sh │ │ ├── train_sgmm2_group.sh │ │ ├── train_smbr.sh │ │ ├── train_ubm.sh │ │ └── word_align_lattices.sh │ └── utils │ │ ├── add_disambig.pl │ │ ├── add_lex_disambig.pl │ │ ├── analyze_segments.pl │ │ ├── apply_map.pl │ │ ├── best_wer.sh │ │ ├── build_const_arpa_lm.sh │ │ ├── combine_data.sh │ │ ├── combine_vad_phone_align.py │ │ ├── combine_vad_phone_align_aux.py │ │ ├── convert_ctm.pl │ │ ├── convert_data_segment_to_utt.sh │ │ ├── convert_phone_set.py │ │ ├── convert_slf.pl │ │ ├── convert_slf_parallel.sh │ │ ├── convert_to_lab.sh │ │ ├── copy_data_dir.sh │ │ ├── copy_data_dir_new.sh │ │ ├── create_data_link.pl │ │ ├── create_split_dir.pl │ │ ├── data │ │ ├── combine_data.sh │ │ ├── combine_short_segments.sh │ │ ├── convert_data_dir_to_whole.sh │ │ ├── copy_data_dir.sh │ │ ├── extend_segment_times.py │ │ ├── find_dup_utts.sh │ │ ├── fix_data_dir.sh │ │ ├── fix_subsegment_feats.pl │ │ ├── get_frame_shift.sh │ │ ├── get_num_frames.sh │ │ ├── get_segments_for_data.sh │ │ ├── get_uniform_subsegments.py │ │ ├── get_utt2dur.sh │ │ ├── get_utt2num_frames.sh │ │ ├── internal │ │ │ ├── choose_utts_to_combine.py │ │ │ └── modify_speaker_info.py │ │ ├── limit_feature_dim.sh │ │ ├── modify_speaker_info.sh │ │ ├── normalize_data_range.pl │ │ ├── perturb_data_dir_speed.sh │ │ ├── perturb_data_dir_speed_3way.sh │ │ ├── perturb_data_dir_volume.sh │ │ ├── remove_dup_utts.sh │ │ ├── remove_noise_utts.sh │ │ ├── remove_oov_utts.sh │ │ ├── remove_short_utts.sh │ │ ├── shift_and_combine_feats.sh │ │ ├── shift_feats.sh │ │ ├── sort_by_freq.py │ │ ├── split_data.sh │ │ ├── subsegment_data_dir.sh │ │ ├── subset_data_dir.sh │ │ └── validate_data_dir.sh │ │ ├── dict_dir_add_pronprobs.sh │ │ ├── eps2disambig.pl │ │ ├── filt.py │ │ ├── filter_scp.pl │ │ ├── filter_scps.pl │ │ ├── find_arpa_oovs.pl │ │ ├── fix_ctm.sh │ │ ├── fix_data_dir.sh │ │ ├── fix_segment_spk2gender.py │ │ ├── fix_sre04.py │ │ ├── fix_sre05.py │ │ ├── fix_sre06.py │ │ ├── fix_sre08.py │ │ ├── fix_sre10.py │ │ ├── fix_swbd.py │ │ ├── fix_swbd_cell.py │ │ ├── format_lm.sh │ │ ├── format_lm_sri.sh │ │ ├── gen_topo.pl │ │ ├── int2sym.pl │ │ ├── kwslist_post_process.pl │ │ ├── lang │ │ ├── add_lex_disambig.pl │ │ ├── check_g_properties.pl │ │ ├── check_phones_compatible.sh │ │ ├── internal │ │ │ ├── apply_unk_lm.sh │ │ │ ├── arpa2fst_constrained.py │ │ │ └── modify_unk_pron.py │ │ ├── make_phone_bigram_lang.sh │ │ ├── make_phone_lm.py │ │ ├── make_unk_lm.sh │ │ ├── prepare_lang.sh │ │ ├── validate_disambig_sym_file.pl │ │ └── validate_lang.pl │ │ ├── ln.pl │ │ ├── make_absolute.sh │ │ ├── make_lexicon_fst.pl │ │ ├── make_lexicon_fst_silprob.pl │ │ ├── make_unigram_grammar.pl │ │ ├── map_arpa_lm.pl │ │ ├── max_index.py │ │ ├── mkgraph.sh │ │ ├── nnet-cpu │ │ ├── make_nnet_config.pl │ │ ├── make_nnet_config_block.pl │ │ ├── make_nnet_config_preconditioned.pl │ │ └── update_learning_rates.pl │ │ ├── nnet │ │ ├── gen_dct_mat.py │ │ ├── gen_hamm_mat.py │ │ ├── gen_splice.py │ │ ├── make_blstm_proto.py │ │ ├── make_cnn2d_proto.py │ │ ├── make_cnn_proto.py │ │ ├── make_lstm_proto.py │ │ └── make_nnet_proto.py │ │ ├── parallel │ │ └── limit_num_gpus.sh │ │ ├── parse_options.sh │ │ ├── pbs.pl │ │ ├── perturb_data_dir_speed.sh │ │ ├── pinyin_map.pl │ │ ├── prepare_lang.sh │ │ ├── prepare_online_nnet_dist_build.sh │ │ ├── queue.pl │ │ ├── recover_scores.py │ │ ├── remove_data_links.sh │ │ ├── remove_oovs.pl │ │ ├── reverse_arpa.py │ │ ├── rnnlm_compute_scores.sh │ │ ├── run.pl │ │ ├── s2eps.pl │ │ ├── sample_validset_spk2utt.py │ │ ├── scoring │ │ ├── wer_ops_details.pl │ │ ├── wer_per_spk_details.pl │ │ ├── wer_per_utt_details.pl │ │ └── wer_report.pl │ │ ├── segmentation.pl │ │ ├── show_lattice.sh │ │ ├── show_max_len_per_spk.py │ │ ├── shuffle_list.pl │ │ ├── slurm.pl │ │ ├── sort_data_dir_by_len.py │ │ ├── spk2utt_to_utt2spk.pl │ │ ├── split_data.sh │ │ ├── split_scp.pl │ │ ├── ssh.pl │ │ ├── subset_data_dir.sh │ │ ├── subset_data_dir_per_gender.sh │ │ ├── subset_data_dir_per_spk_len.sh │ │ ├── subset_data_dir_tr_cv.sh │ │ ├── subset_scp.pl │ │ ├── summarize_logs.pl │ │ ├── summarize_warnings.pl │ │ ├── sym2int.pl │ │ ├── utt2spk_to_spk2utt.pl │ │ ├── validate_data_dir.sh │ │ ├── validate_dict_dir.pl │ │ ├── validate_lang.pl │ │ └── write_kwslist.pl │ ├── v3 │ ├── cmd.sh │ ├── conf │ │ ├── mfcc.conf │ │ ├── mfcc_snip_edge.conf │ │ └── vad.conf │ ├── local │ │ ├── dict.patch │ │ ├── dnn │ │ │ ├── README │ │ │ ├── fisher_create_test_lang.sh │ │ │ ├── fisher_data_prep.sh │ │ │ ├── fisher_fix_speakerid.pl │ │ │ ├── fisher_prepare_dict.sh │ │ │ ├── fisher_train_lms.sh │ │ │ ├── remove_dup_utts.sh │ │ │ ├── run_nnet2_common.sh │ │ │ ├── run_nnet2_multisplice.sh │ │ │ └── train_dnn.sh │ │ ├── fisher_create_test_lang.sh │ │ ├── fisher_data_prep.sh │ │ ├── fisher_fix_speakerid.pl │ │ ├── fisher_prepare_dict.sh │ │ ├── fisher_swbd_prepare_dict.sh │ │ ├── fisher_train_lms.sh │ │ ├── format_acronyms_dict.py │ │ ├── make_musan.py │ │ ├── make_musan.sh │ │ ├── make_mx6.sh │ │ ├── make_mx6_calls.pl │ │ ├── make_mx6_mic.pl │ │ ├── make_sre.pl │ │ ├── make_sre.sh │ │ ├── make_sre08.pl │ │ ├── make_sre10.pl │ │ ├── make_sre10_10sec.py │ │ ├── make_sre10_coreext_c5.py │ │ ├── make_sre16_eval.pl │ │ ├── make_sre16_unlabeled.pl │ │ ├── make_swbd2_phase1.pl │ │ ├── make_swbd2_phase2.pl │ │ ├── make_swbd2_phase3.pl │ │ ├── make_swbd_cellular1.pl │ │ ├── make_swbd_cellular2.pl │ │ ├── map_acronyms_transcripts.py │ │ ├── nnet3 │ │ │ └── xvector │ │ │ │ ├── prepare_feats_for_egs.sh │ │ │ │ ├── prepare_feats_for_egs_new.sh │ │ │ │ ├── run_xvector.sh │ │ │ │ ├── run_xvector_new.sh │ │ │ │ ├── run_xvector_pa_wo_pretrain.sh │ │ │ │ └── tuning │ │ │ │ └── run_xvector_1a.sh │ │ ├── nnet3_cvector │ │ │ ├── cvector │ │ │ │ ├── prepare_nnet3_xconfig.sh │ │ │ │ ├── prepare_nnet3_xconfig_2share.sh │ │ │ │ ├── prepare_nnet3_xconfig_3share.sh │ │ │ │ ├── prepare_nnet3_xconfig_4share.sh │ │ │ │ ├── train_am.sh │ │ │ │ ├── train_cvector.sh │ │ │ │ ├── train_cvector_with_am.sh │ │ │ │ ├── train_cvector_with_am_2share.sh │ │ │ │ ├── train_cvector_with_am_3share.sh │ │ │ │ └── train_xvector_with_am.sh │ │ │ └── xvector │ │ │ │ ├── prepare_feats_for_egs.sh │ │ │ │ ├── prepare_feats_for_egs_new.sh │ │ │ │ ├── run_dvector.sh │ │ │ │ ├── run_xvector.sh │ │ │ │ ├── run_xvector_new.sh │ │ │ │ └── tuning │ │ │ │ └── run_xvector_1a.sh │ │ ├── swbd1_data_download.sh │ │ ├── swbd1_data_prep.sh │ │ └── swbd1_map_words.pl │ ├── path.sh │ ├── run_sre10.sh │ ├── run_sre16.sh │ ├── sid │ │ ├── compute_vad_decision.sh │ │ ├── compute_vad_decision_gmm.sh │ │ ├── extract_ivectors.sh │ │ ├── extract_ivectors_dnn.sh │ │ ├── extract_ivectors_nnet3.sh │ │ ├── extract_ivectors_nnet3.sh.bak │ │ ├── extract_post_nnet3.sh │ │ ├── gender_id.sh │ │ ├── init_full_ubm_from_dnn.sh │ │ ├── init_full_ubm_from_nnet3.sh │ │ ├── music_id.sh │ │ ├── nnet2 │ │ │ ├── get_egs2.sh │ │ │ ├── get_lda.sh │ │ │ └── train_multisplice_accel2.sh │ │ ├── nnet3 │ │ │ └── xvector │ │ │ │ ├── allocate_egs.py │ │ │ │ ├── allocate_egs_dvector.py │ │ │ │ ├── allocate_egs_new.py │ │ │ │ ├── extract_output_new.sh │ │ │ │ ├── extract_xvectors.sh │ │ │ │ ├── extract_xvectors_new.sh │ │ │ │ ├── get_egs.sh │ │ │ │ ├── get_egs_dvector.sh │ │ │ │ ├── get_egs_framebyframe.sh │ │ │ │ ├── get_egs_new.sh │ │ │ │ ├── tf_extract_activations_for_analysis.sh │ │ │ │ ├── tf_extract_weights.sh │ │ │ │ ├── tf_extract_xvectors_new.sh │ │ │ │ └── tf_extract_xvectors_with_text.sh │ │ ├── nnet3_cvector │ │ │ ├── am │ │ │ │ └── extract_bn.sh │ │ │ ├── cvector │ │ │ │ ├── allocate_egs_new.py │ │ │ │ ├── extract_am_embedding.sh │ │ │ │ ├── extract_cvectors_with_am.sh │ │ │ │ ├── extract_cvectors_with_embedding.sh │ │ │ │ ├── extract_log_post.sh │ │ │ │ ├── extract_output_with_am.sh │ │ │ │ ├── extract_xvectors_new.sh │ │ │ │ ├── get_egs_am.sh │ │ │ │ ├── get_egs_cvector.sh │ │ │ │ ├── get_egs_with_ali_from_xvec_egs.sh │ │ │ │ ├── get_egs_xvec.sh │ │ │ │ ├── get_egs_xvec_with_embedding.sh │ │ │ │ ├── get_egs_xvec_with_feat.sh │ │ │ │ ├── prepare_ali_and_phones.sh │ │ │ │ ├── prepare_embedding.sh │ │ │ │ ├── prepare_feats.sh │ │ │ │ ├── prepare_feats_from_nosil.sh │ │ │ │ └── train_cvector_with_am_expand.sh │ │ │ └── xvector │ │ │ │ ├── allocate_egs.py │ │ │ │ ├── allocate_egs_dvector.py │ │ │ │ ├── allocate_egs_new.py │ │ │ │ ├── extract_xvectors.sh │ │ │ │ ├── extract_xvectors_new.sh │ │ │ │ ├── get_egs.sh │ │ │ │ ├── get_egs_dvector.sh │ │ │ │ ├── get_egs_framebyframe.sh │ │ │ │ └── get_egs_new.sh │ │ ├── train_diag_ubm.sh │ │ ├── train_full_ubm.sh │ │ ├── train_ivector_extractor.sh │ │ ├── train_ivector_extractor_dnn.sh │ │ └── train_ivector_extractor_nnet3.sh │ ├── steps │ │ ├── align_basis_fmllr.sh │ │ ├── align_fmllr.sh │ │ ├── align_fmllr_lats.sh │ │ ├── align_fmllr_new.sh │ │ ├── align_lvtln.sh │ │ ├── align_raw_fmllr.sh │ │ ├── align_sgmm2.sh │ │ ├── align_si.sh │ │ ├── append_feats.sh │ │ ├── cleanup │ │ │ ├── clean_and_segment_data.sh │ │ │ ├── combine_short_segments.py │ │ │ ├── create_segments_from_ctm.pl │ │ │ ├── debug_lexicon.sh │ │ │ ├── decode_fmllr_segmentation.sh │ │ │ ├── decode_segmentation.sh │ │ │ ├── find_bad_utts.sh │ │ │ ├── find_bad_utts_nnet.sh │ │ │ ├── internal │ │ │ │ ├── align_ctm_ref.py │ │ │ │ ├── compute_tf_idf.py │ │ │ │ ├── ctm_to_text.pl │ │ │ │ ├── get_ctm.sh │ │ │ │ ├── get_ctm_edits.py │ │ │ │ ├── get_non_scored_words.py │ │ │ │ ├── get_pron_stats.py │ │ │ │ ├── make_one_biased_lm.py │ │ │ │ ├── modify_ctm_edits.py │ │ │ │ ├── resolve_ctm_edits_overlaps.py │ │ │ │ ├── retrieve_similar_docs.py │ │ │ │ ├── segment_ctm_edits.py │ │ │ │ ├── segment_ctm_edits_mild.py │ │ │ │ ├── split_text_into_docs.pl │ │ │ │ ├── stitch_documents.py │ │ │ │ ├── taint_ctm_edits.py │ │ │ │ └── tf_idf.py │ │ │ ├── lattice_oracle_align.sh │ │ │ ├── make_biased_lm_graphs.sh │ │ │ ├── make_biased_lms.py │ │ │ ├── make_segmentation_data_dir.sh │ │ │ ├── make_segmentation_graph.sh │ │ │ ├── make_utterance_fsts.pl │ │ │ ├── make_utterance_graph.sh │ │ │ ├── segment_long_utterances.sh │ │ │ └── split_long_utterance.sh │ │ ├── combine_ali_dirs.sh │ │ ├── compute_cmvn_stats.sh │ │ ├── conf │ │ │ ├── append_eval_to_ctm.py │ │ │ ├── append_prf_to_ctm.py │ │ │ ├── apply_calibration.sh │ │ │ ├── convert_ctm_to_tra.py │ │ │ ├── lattice_depth_per_frame.sh │ │ │ ├── parse_arpa_unigrams.py │ │ │ ├── prepare_calibration_data.py │ │ │ ├── prepare_word_categories.py │ │ │ └── train_calibration.sh │ │ ├── data │ │ │ ├── augment_data_dir.py │ │ │ ├── augment_data_dir_new.py │ │ │ ├── data_dir_manipulation_lib.py │ │ │ └── reverberate_data_dir.py │ │ ├── decode.sh │ │ ├── decode_basis_fmllr.sh │ │ ├── decode_biglm.sh │ │ ├── decode_combine.sh │ │ ├── decode_fmllr.sh │ │ ├── decode_fmllr_extra.sh │ │ ├── decode_fmmi.sh │ │ ├── decode_fromlats.sh │ │ ├── decode_lvtln.sh │ │ ├── decode_nnet.sh │ │ ├── decode_nolats.sh │ │ ├── decode_raw_fmllr.sh │ │ ├── decode_sgmm2.sh │ │ ├── decode_sgmm2_fromlats.sh │ │ ├── decode_sgmm2_rescore.sh │ │ ├── decode_sgmm2_rescore_project.sh │ │ ├── decode_si.sh │ │ ├── decode_with_map.sh │ │ ├── diagnostic │ │ │ ├── analyze_alignments.sh │ │ │ ├── analyze_lats.sh │ │ │ ├── analyze_lattice_depth_stats.py │ │ │ └── analyze_phone_length_stats.py │ │ ├── dict │ │ │ ├── apply_g2p.sh │ │ │ ├── apply_lexicon_edits.py │ │ │ ├── get_pron_stats.py │ │ │ ├── internal │ │ │ │ └── prune_pron_candidates.py │ │ │ ├── learn_lexicon.sh │ │ │ ├── prons_to_lexicon.py │ │ │ ├── prune_pron_candidates.py │ │ │ ├── select_prons_bayesian.py │ │ │ └── train_g2p.sh │ │ ├── generate_spk_ali.py │ │ ├── get_ctm.sh │ │ ├── get_fmllr_basis.sh │ │ ├── get_lexicon_probs.sh │ │ ├── get_num_targets.py │ │ ├── get_prons.sh │ │ ├── get_train_ctm.sh │ │ ├── info │ │ │ ├── chain_dir_info.pl │ │ │ ├── gmm_dir_info.pl │ │ │ ├── nnet2_dir_info.pl │ │ │ ├── nnet3_dir_info.pl │ │ │ └── nnet3_disc_dir_info.pl │ │ ├── kl_hmm │ │ │ ├── build_tree.sh │ │ │ ├── decode_kl_hmm.sh │ │ │ └── train_kl_hmm.sh │ │ ├── libs │ │ │ ├── __init__.py │ │ │ ├── common.py │ │ │ └── nnet3 │ │ │ │ ├── __init__.py │ │ │ │ ├── report │ │ │ │ ├── __init__.py │ │ │ │ └── log_parse.py │ │ │ │ ├── train │ │ │ │ ├── __init__.py │ │ │ │ ├── chain_objf │ │ │ │ │ ├── __init__.py │ │ │ │ │ └── acoustic_model.py │ │ │ │ ├── common.py │ │ │ │ ├── dropout_schedule.py │ │ │ │ ├── frame_level_objf │ │ │ │ │ ├── __init__.py │ │ │ │ │ ├── acoustic_model.py │ │ │ │ │ ├── common.py │ │ │ │ │ └── raw_model.py │ │ │ │ └── frame_level_objf_20180105 │ │ │ │ │ ├── __init__.py │ │ │ │ │ ├── acoustic_model.py │ │ │ │ │ ├── common.py │ │ │ │ │ └── raw_model.py │ │ │ │ └── xconfig │ │ │ │ ├── __init__.py │ │ │ │ ├── attention.py │ │ │ │ ├── basic_layers.py │ │ │ │ ├── convolution.py │ │ │ │ ├── gru.py │ │ │ │ ├── layers.py │ │ │ │ ├── lstm.py │ │ │ │ ├── parser.py │ │ │ │ ├── stats_layer.py │ │ │ │ ├── trivial_layers.py │ │ │ │ └── utils.py │ │ ├── lmrescore.sh │ │ ├── lmrescore_const_arpa.sh │ │ ├── lmrescore_rnnlm_lat.sh │ │ ├── make_denlats.sh │ │ ├── make_denlats_sgmm2.sh │ │ ├── make_fbank.sh │ │ ├── make_fbank_pitch.sh │ │ ├── make_index.sh │ │ ├── make_mfcc.sh │ │ ├── make_mfcc_pitch.sh │ │ ├── make_mfcc_pitch_online.sh │ │ ├── make_phone_graph.sh │ │ ├── make_plp.sh │ │ ├── make_plp_pitch.sh │ │ ├── nnet │ │ │ ├── align.sh │ │ │ ├── decode.sh │ │ │ ├── ivector │ │ │ │ ├── extract_ivectors.sh │ │ │ │ ├── train_diag_ubm.sh │ │ │ │ └── train_ivector_extractor.sh │ │ │ ├── make_bn_feats.sh │ │ │ ├── make_denlats.sh │ │ │ ├── make_fmllr_feats.sh │ │ │ ├── make_fmmi_feats.sh │ │ │ ├── make_priors.sh │ │ │ ├── pretrain_dbn.sh │ │ │ ├── train.sh │ │ │ ├── train_mmi.sh │ │ │ ├── train_mpe.sh │ │ │ └── train_scheduler.sh │ │ ├── nnet2 │ │ │ ├── adjust_priors.sh │ │ │ ├── align.sh │ │ │ ├── check_ivectors_compatible.sh │ │ │ ├── convert_lda_to_raw.sh │ │ │ ├── convert_nnet1_to_nnet2.sh │ │ │ ├── create_appended_model.sh │ │ │ ├── decode.sh │ │ │ ├── dump_bottleneck_features.sh │ │ │ ├── get_egs.sh │ │ │ ├── get_egs2.sh │ │ │ ├── get_egs_discriminative2.sh │ │ │ ├── get_ivector_id.sh │ │ │ ├── get_lda.sh │ │ │ ├── get_lda_block.sh │ │ │ ├── get_num_frames.sh │ │ │ ├── get_perturbed_feats.sh │ │ │ ├── make_denlats.sh │ │ │ ├── make_multisplice_configs.py │ │ │ ├── relabel_egs.sh │ │ │ ├── relabel_egs2.sh │ │ │ ├── remove_egs.sh │ │ │ ├── retrain_fast.sh │ │ │ ├── retrain_simple2.sh │ │ │ ├── retrain_tanh.sh │ │ │ ├── train_block.sh │ │ │ ├── train_convnet_accel2.sh │ │ │ ├── train_discriminative.sh │ │ │ ├── train_discriminative2.sh │ │ │ ├── train_discriminative_multilang2.sh │ │ │ ├── train_more.sh │ │ │ ├── train_more2.sh │ │ │ ├── train_multilang2.sh │ │ │ ├── train_multisplice_accel2.sh │ │ │ ├── train_multisplice_ensemble.sh │ │ │ ├── train_pnorm.sh │ │ │ ├── train_pnorm_accel2.sh │ │ │ ├── train_pnorm_bottleneck_fast.sh │ │ │ ├── train_pnorm_ensemble.sh │ │ │ ├── train_pnorm_fast.sh │ │ │ ├── train_pnorm_multisplice.sh │ │ │ ├── train_pnorm_multisplice2.sh │ │ │ ├── train_pnorm_simple.sh │ │ │ ├── train_pnorm_simple2.sh │ │ │ ├── train_tanh.sh │ │ │ ├── train_tanh_bottleneck.sh │ │ │ ├── train_tanh_fast.sh │ │ │ └── update_nnet.sh │ │ ├── nnet3 │ │ │ ├── adjust_priors.sh │ │ │ ├── align.sh │ │ │ ├── align_cvector.sh │ │ │ ├── align_lats.sh │ │ │ ├── chain │ │ │ │ ├── build_tree.sh │ │ │ │ ├── gen_topo.pl │ │ │ │ ├── gen_topo.py │ │ │ │ ├── gen_topo2.py │ │ │ │ ├── gen_topo3.py │ │ │ │ ├── gen_topo4.py │ │ │ │ ├── gen_topo5.py │ │ │ │ ├── gen_topo_orig.py │ │ │ │ ├── get_egs.sh │ │ │ │ ├── make_weighted_den_fst.sh │ │ │ │ ├── train.py │ │ │ │ └── train_tdnn.sh │ │ │ ├── combined_vector │ │ │ │ └── train_combined_dnn.py │ │ │ ├── components.py │ │ │ ├── compute_output.sh │ │ │ ├── convert_nnet2_to_nnet3.py │ │ │ ├── cvector │ │ │ │ └── get_model_from_raw.sh │ │ │ ├── decode.sh │ │ │ ├── decode_cvector.sh │ │ │ ├── decode_looped.sh │ │ │ ├── decode_wcmvn.sh │ │ │ ├── dot │ │ │ │ ├── descriptor_parser.py │ │ │ │ └── nnet3_to_dot.py │ │ │ ├── get_degs.sh │ │ │ ├── get_egs.sh │ │ │ ├── get_egs_discriminative.sh │ │ │ ├── get_egs_raw_train_valid.sh │ │ │ ├── get_egs_targets.sh │ │ │ ├── get_egs_train_valid.sh │ │ │ ├── get_saturation.pl │ │ │ ├── get_successful_models.py │ │ │ ├── lstm │ │ │ │ ├── make_configs.py │ │ │ │ └── train.sh │ │ │ ├── make_bottleneck_features.sh │ │ │ ├── make_bottleneck_features_new.sh │ │ │ ├── make_denlats.sh │ │ │ ├── make_tdnn_configs.py │ │ │ ├── multilingual │ │ │ │ ├── allocate_multilingual_examples.py │ │ │ │ └── combine_egs.sh │ │ │ ├── nnet3_make_bottleneck.sh │ │ │ ├── nnet3_make_bottleneck_dvector.sh │ │ │ ├── nnet3_to_dot.sh │ │ │ ├── report │ │ │ │ ├── generate_plots.py │ │ │ │ └── summarize_compute_debug_timing.py │ │ │ ├── tdnn │ │ │ │ ├── make_configs.py │ │ │ │ ├── train.sh │ │ │ │ └── train_raw_nnet.sh │ │ │ ├── train_cvector_dnn.py │ │ │ ├── train_discriminative.sh │ │ │ ├── train_dnn.py │ │ │ ├── train_dnn_new.py │ │ │ ├── train_raw_dnn.py │ │ │ ├── train_raw_dnn_new.py │ │ │ ├── train_raw_rnn.py │ │ │ ├── train_rnn.py │ │ │ ├── train_tdnn.sh │ │ │ ├── xconfig_to_configs.py │ │ │ ├── xconfig_to_configs_multiple_input.py │ │ │ └── xconfig_to_configs_new.py │ │ ├── online │ │ │ ├── decode.sh │ │ │ ├── nnet2 │ │ │ │ ├── align.sh │ │ │ │ ├── copy_data_dir.sh │ │ │ │ ├── copy_ivector_dir.sh │ │ │ │ ├── decode.sh │ │ │ │ ├── dump_nnet_activations.sh │ │ │ │ ├── extract_ivectors.sh │ │ │ │ ├── extract_ivectors_online.sh │ │ │ │ ├── get_egs.sh │ │ │ │ ├── get_egs2.sh │ │ │ │ ├── get_egs_discriminative2.sh │ │ │ │ ├── get_pca_transform.sh │ │ │ │ ├── make_denlats.sh │ │ │ │ ├── prepare_online_decoding.sh │ │ │ │ ├── prepare_online_decoding_retrain.sh │ │ │ │ ├── prepare_online_decoding_transfer.sh │ │ │ │ ├── train_diag_ubm.sh │ │ │ │ └── train_ivector_extractor.sh │ │ │ ├── nnet3 │ │ │ │ ├── decode.sh │ │ │ │ └── prepare_online_decoding.sh │ │ │ └── prepare_online_decoding.sh │ │ ├── oracle_wer.sh │ │ ├── paste_feats.sh │ │ ├── resegment_data.sh │ │ ├── resegment_text.sh │ │ ├── rnnlmrescore.sh │ │ ├── score_kaldi.sh │ │ ├── score_kaldi_compare.sh │ │ ├── scoring │ │ │ ├── score_kaldi_cer.sh │ │ │ ├── score_kaldi_compare.sh │ │ │ └── score_kaldi_wer.sh │ │ ├── search_index.sh │ │ ├── select_feats.sh │ │ ├── shift_feats.sh │ │ ├── tandem │ │ │ ├── align_fmllr.sh │ │ │ ├── align_sgmm2.sh │ │ │ ├── align_si.sh │ │ │ ├── decode.sh │ │ │ ├── decode_fmllr.sh │ │ │ ├── decode_sgmm2.sh │ │ │ ├── decode_si.sh │ │ │ ├── make_denlats.sh │ │ │ ├── make_denlats_sgmm2.sh │ │ │ ├── mk_aslf_lda_mllt.sh │ │ │ ├── mk_aslf_sgmm2.sh │ │ │ ├── train_deltas.sh │ │ │ ├── train_lda_mllt.sh │ │ │ ├── train_mllt.sh │ │ │ ├── train_mmi.sh │ │ │ ├── train_mmi_sgmm2.sh │ │ │ ├── train_mono.sh │ │ │ ├── train_sat.sh │ │ │ ├── train_sgmm2.sh │ │ │ └── train_ubm.sh │ │ ├── train_deltas.sh │ │ ├── train_diag_ubm.sh │ │ ├── train_lda_mllt.sh │ │ ├── train_lvtln.sh │ │ ├── train_map.sh │ │ ├── train_mmi.sh │ │ ├── train_mmi_fmmi.sh │ │ ├── train_mmi_fmmi_indirect.sh │ │ ├── train_mmi_sgmm2.sh │ │ ├── train_mono.sh │ │ ├── train_mono_further.sh │ │ ├── train_mpe.sh │ │ ├── train_nnet.sh │ │ ├── train_quick.sh │ │ ├── train_raw_sat.sh │ │ ├── train_sat.sh │ │ ├── train_sat_basis.sh │ │ ├── train_segmenter.sh │ │ ├── train_sgmm2.sh │ │ ├── train_sgmm2_group.sh │ │ ├── train_smbr.sh │ │ ├── train_ubm.sh │ │ └── word_align_lattices.sh │ └── utils │ │ ├── add_disambig.pl │ │ ├── add_lex_disambig.pl │ │ ├── analyze_segments.pl │ │ ├── apply_map.pl │ │ ├── best_wer.sh │ │ ├── build_const_arpa_lm.sh │ │ ├── combine_data.sh │ │ ├── combine_vad_phone_align.py │ │ ├── combine_vad_phone_align_aux.py │ │ ├── convert_ctm.pl │ │ ├── convert_data_segment_to_utt.sh │ │ ├── convert_phone_set.py │ │ ├── convert_slf.pl │ │ ├── convert_slf_parallel.sh │ │ ├── convert_to_lab.sh │ │ ├── copy_data_dir.sh │ │ ├── copy_data_dir_new.sh │ │ ├── create_data_link.pl │ │ ├── create_split_dir.pl │ │ ├── data │ │ ├── combine_data.sh │ │ ├── combine_short_segments.sh │ │ ├── convert_data_dir_to_whole.sh │ │ ├── copy_data_dir.sh │ │ ├── extend_segment_times.py │ │ ├── find_dup_utts.sh │ │ ├── fix_data_dir.sh │ │ ├── fix_subsegment_feats.pl │ │ ├── get_frame_shift.sh │ │ ├── get_num_frames.sh │ │ ├── get_segments_for_data.sh │ │ ├── get_uniform_subsegments.py │ │ ├── get_utt2dur.sh │ │ ├── get_utt2num_frames.sh │ │ ├── internal │ │ │ ├── choose_utts_to_combine.py │ │ │ └── modify_speaker_info.py │ │ ├── limit_feature_dim.sh │ │ ├── modify_speaker_info.sh │ │ ├── normalize_data_range.pl │ │ ├── perturb_data_dir_speed.sh │ │ ├── perturb_data_dir_speed_3way.sh │ │ ├── perturb_data_dir_volume.sh │ │ ├── remove_dup_utts.sh │ │ ├── remove_noise_utts.sh │ │ ├── remove_oov_utts.sh │ │ ├── remove_short_utts.sh │ │ ├── shift_and_combine_feats.sh │ │ ├── shift_feats.sh │ │ ├── sort_by_freq.py │ │ ├── split_data.sh │ │ ├── subsegment_data_dir.sh │ │ ├── subset_data_dir.sh │ │ └── validate_data_dir.sh │ │ ├── dict_dir_add_pronprobs.sh │ │ ├── eps2disambig.pl │ │ ├── filt.py │ │ ├── filter_scp.pl │ │ ├── filter_scps.pl │ │ ├── find_arpa_oovs.pl │ │ ├── fix_ctm.sh │ │ ├── fix_data_dir.sh │ │ ├── fix_segment_spk2gender.py │ │ ├── fix_sre04.py │ │ ├── fix_sre05.py │ │ ├── fix_sre06.py │ │ ├── fix_sre08.py │ │ ├── fix_sre10.py │ │ ├── fix_swbd.py │ │ ├── fix_swbd_cell.py │ │ ├── format_lm.sh │ │ ├── format_lm_sri.sh │ │ ├── gen_topo.pl │ │ ├── int2sym.pl │ │ ├── kwslist_post_process.pl │ │ ├── lang │ │ ├── add_lex_disambig.pl │ │ ├── check_g_properties.pl │ │ ├── check_phones_compatible.sh │ │ ├── internal │ │ │ ├── apply_unk_lm.sh │ │ │ ├── arpa2fst_constrained.py │ │ │ └── modify_unk_pron.py │ │ ├── make_phone_bigram_lang.sh │ │ ├── make_phone_lm.py │ │ ├── make_unk_lm.sh │ │ ├── prepare_lang.sh │ │ ├── validate_disambig_sym_file.pl │ │ └── validate_lang.pl │ │ ├── ln.pl │ │ ├── make_absolute.sh │ │ ├── make_lexicon_fst.pl │ │ ├── make_lexicon_fst_silprob.pl │ │ ├── make_unigram_grammar.pl │ │ ├── map_arpa_lm.pl │ │ ├── max_index.py │ │ ├── mkgraph.sh │ │ ├── nnet-cpu │ │ ├── make_nnet_config.pl │ │ ├── make_nnet_config_block.pl │ │ ├── make_nnet_config_preconditioned.pl │ │ └── update_learning_rates.pl │ │ ├── nnet │ │ ├── gen_dct_mat.py │ │ ├── gen_hamm_mat.py │ │ ├── gen_splice.py │ │ ├── make_blstm_proto.py │ │ ├── make_cnn2d_proto.py │ │ ├── make_cnn_proto.py │ │ ├── make_lstm_proto.py │ │ └── make_nnet_proto.py │ │ ├── parallel │ │ └── limit_num_gpus.sh │ │ ├── parse_options.sh │ │ ├── pbs.pl │ │ ├── perturb_data_dir_speed.sh │ │ ├── pinyin_map.pl │ │ ├── prepare_lang.sh │ │ ├── prepare_online_nnet_dist_build.sh │ │ ├── queue.pl │ │ ├── recover_scores.py │ │ ├── remove_data_links.sh │ │ ├── remove_oovs.pl │ │ ├── reverse_arpa.py │ │ ├── rnnlm_compute_scores.sh │ │ ├── run.pl │ │ ├── s2eps.pl │ │ ├── sample_validset_spk2utt.py │ │ ├── scoring │ │ ├── wer_ops_details.pl │ │ ├── wer_per_spk_details.pl │ │ ├── wer_per_utt_details.pl │ │ └── wer_report.pl │ │ ├── segmentation.pl │ │ ├── show_lattice.sh │ │ ├── show_max_len_per_spk.py │ │ ├── shuffle_list.pl │ │ ├── slurm.pl │ │ ├── sort_data_dir_by_len.py │ │ ├── spk2utt_to_utt2spk.pl │ │ ├── split_data.sh │ │ ├── split_scp.pl │ │ ├── ssh.pl │ │ ├── subset_data_dir.sh │ │ ├── subset_data_dir_per_gender.sh │ │ ├── subset_data_dir_per_spk_len.sh │ │ ├── subset_data_dir_tr_cv.sh │ │ ├── subset_scp.pl │ │ ├── summarize_logs.pl │ │ ├── summarize_warnings.pl │ │ ├── sym2int.pl │ │ ├── utt2spk_to_spk2utt.pl │ │ ├── validate_data_dir.sh │ │ ├── validate_dict_dir.pl │ │ ├── validate_lang.pl │ │ └── write_kwslist.pl │ ├── v4 │ ├── cmd.sh │ ├── conf │ │ ├── mfcc.conf │ │ ├── mfcc_hires.conf │ │ └── vad.conf │ ├── local │ │ ├── dict.patch │ │ ├── dnn │ │ │ ├── README │ │ │ ├── fisher_create_test_lang.sh │ │ │ ├── fisher_data_prep.sh │ │ │ ├── fisher_fix_speakerid.pl │ │ │ ├── fisher_prepare_dict.sh │ │ │ ├── fisher_train_lms.sh │ │ │ ├── remove_dup_utts.sh │ │ │ ├── run_nnet2_common.sh │ │ │ ├── run_nnet2_multisplice.sh │ │ │ └── train_dnn.sh │ │ ├── fisher_create_test_lang.sh │ │ ├── fisher_data_prep.sh │ │ ├── fisher_fix_speakerid.pl │ │ ├── fisher_prepare_dict.sh │ │ ├── fisher_swbd_prepare_dict.sh │ │ ├── fisher_train_lms.sh │ │ ├── format_acronyms_dict.py │ │ ├── make_musan.py │ │ ├── make_musan.sh │ │ ├── make_mx6.sh │ │ ├── make_mx6_calls.pl │ │ ├── make_mx6_mic.pl │ │ ├── make_sre.pl │ │ ├── make_sre.sh │ │ ├── make_sre08.pl │ │ ├── make_sre10.pl │ │ ├── make_sre10_10sec.py │ │ ├── make_sre10_coreext_c5.py │ │ ├── make_sre16_eval.pl │ │ ├── make_sre16_unlabeled.pl │ │ ├── make_swbd2_phase1.pl │ │ ├── make_swbd2_phase2.pl │ │ ├── make_swbd2_phase3.pl │ │ ├── make_swbd_cellular1.pl │ │ ├── make_swbd_cellular2.pl │ │ ├── map_acronyms_transcripts.py │ │ ├── nnet3 │ │ │ └── xvector │ │ │ │ ├── prepare_feats_for_egs.sh │ │ │ │ ├── prepare_feats_for_egs_new.sh │ │ │ │ ├── run_xvector.sh │ │ │ │ ├── run_xvector_new.sh │ │ │ │ ├── run_xvector_pa_wo_pretrain.sh │ │ │ │ └── tuning │ │ │ │ └── run_xvector_1a.sh │ │ ├── nnet3_cvector │ │ │ ├── cvector │ │ │ │ ├── prepare_nnet3_xconfig.sh │ │ │ │ ├── prepare_nnet3_xconfig_2share.sh │ │ │ │ ├── prepare_nnet3_xconfig_3share.sh │ │ │ │ ├── prepare_nnet3_xconfig_4share.sh │ │ │ │ ├── train_am.sh │ │ │ │ ├── train_cvector.sh │ │ │ │ ├── train_cvector_with_am.sh │ │ │ │ ├── train_cvector_with_am_2share.sh │ │ │ │ ├── train_cvector_with_am_3share.sh │ │ │ │ └── train_xvector_with_am.sh │ │ │ └── xvector │ │ │ │ ├── prepare_feats_for_egs.sh │ │ │ │ ├── prepare_feats_for_egs_new.sh │ │ │ │ ├── run_dvector.sh │ │ │ │ ├── run_xvector.sh │ │ │ │ ├── run_xvector_new.sh │ │ │ │ └── tuning │ │ │ │ └── run_xvector_1a.sh │ │ ├── swbd1_data_download.sh │ │ ├── swbd1_data_prep.sh │ │ └── swbd1_map_words.pl │ ├── path.sh │ ├── run_sre10.sh │ ├── run_sre10_pa_wo_pretrain.sh │ ├── run_sre16.sh │ ├── run_sre16_pa_wo_pretrain.sh │ ├── sid │ │ ├── compute_vad_decision.sh │ │ ├── compute_vad_decision_gmm.sh │ │ ├── extract_ivectors.sh │ │ ├── extract_ivectors_dnn.sh │ │ ├── extract_ivectors_nnet3.sh │ │ ├── extract_ivectors_nnet3.sh.bak │ │ ├── extract_post_nnet3.sh │ │ ├── gender_id.sh │ │ ├── init_full_ubm_from_dnn.sh │ │ ├── init_full_ubm_from_nnet3.sh │ │ ├── music_id.sh │ │ ├── nnet2 │ │ │ ├── get_egs2.sh │ │ │ ├── get_lda.sh │ │ │ └── train_multisplice_accel2.sh │ │ ├── nnet3 │ │ │ └── xvector │ │ │ │ ├── allocate_egs.py │ │ │ │ ├── allocate_egs_dvector.py │ │ │ │ ├── allocate_egs_new.py │ │ │ │ ├── extract_output_new.sh │ │ │ │ ├── extract_xvectors.sh │ │ │ │ ├── extract_xvectors_new.sh │ │ │ │ ├── get_egs.sh │ │ │ │ ├── get_egs_dvector.sh │ │ │ │ ├── get_egs_framebyframe.sh │ │ │ │ ├── get_egs_new.sh │ │ │ │ ├── tf_extract_activations_for_analysis.sh │ │ │ │ ├── tf_extract_weights.sh │ │ │ │ ├── tf_extract_xvectors_new.sh │ │ │ │ └── tf_extract_xvectors_with_text.sh │ │ ├── nnet3_cvector │ │ │ ├── am │ │ │ │ └── extract_bn.sh │ │ │ ├── cvector │ │ │ │ ├── allocate_egs_new.py │ │ │ │ ├── extract_am_embedding.sh │ │ │ │ ├── extract_cvectors_with_am.sh │ │ │ │ ├── extract_cvectors_with_embedding.sh │ │ │ │ ├── extract_log_post.sh │ │ │ │ ├── extract_output_with_am.sh │ │ │ │ ├── extract_xvectors_new.sh │ │ │ │ ├── get_egs_am.sh │ │ │ │ ├── get_egs_cvector.sh │ │ │ │ ├── get_egs_with_ali_from_xvec_egs.sh │ │ │ │ ├── get_egs_xvec.sh │ │ │ │ ├── get_egs_xvec_with_embedding.sh │ │ │ │ ├── get_egs_xvec_with_feat.sh │ │ │ │ ├── prepare_ali_and_phones.sh │ │ │ │ ├── prepare_embedding.sh │ │ │ │ ├── prepare_feats.sh │ │ │ │ ├── prepare_feats_from_nosil.sh │ │ │ │ └── train_cvector_with_am_expand.sh │ │ │ └── xvector │ │ │ │ ├── allocate_egs.py │ │ │ │ ├── allocate_egs_dvector.py │ │ │ │ ├── allocate_egs_new.py │ │ │ │ ├── extract_xvectors.sh │ │ │ │ ├── extract_xvectors_new.sh │ │ │ │ ├── get_egs.sh │ │ │ │ ├── get_egs_dvector.sh │ │ │ │ ├── get_egs_framebyframe.sh │ │ │ │ └── get_egs_new.sh │ │ ├── train_diag_ubm.sh │ │ ├── train_full_ubm.sh │ │ ├── train_ivector_extractor.sh │ │ ├── train_ivector_extractor_dnn.sh │ │ └── train_ivector_extractor_nnet3.sh │ ├── steps │ │ ├── align_basis_fmllr.sh │ │ ├── align_fmllr.sh │ │ ├── align_fmllr_lats.sh │ │ ├── align_fmllr_new.sh │ │ ├── align_lvtln.sh │ │ ├── align_raw_fmllr.sh │ │ ├── align_sgmm2.sh │ │ ├── align_si.sh │ │ ├── append_feats.sh │ │ ├── cleanup │ │ │ ├── clean_and_segment_data.sh │ │ │ ├── combine_short_segments.py │ │ │ ├── create_segments_from_ctm.pl │ │ │ ├── debug_lexicon.sh │ │ │ ├── decode_fmllr_segmentation.sh │ │ │ ├── decode_segmentation.sh │ │ │ ├── find_bad_utts.sh │ │ │ ├── find_bad_utts_nnet.sh │ │ │ ├── internal │ │ │ │ ├── align_ctm_ref.py │ │ │ │ ├── compute_tf_idf.py │ │ │ │ ├── ctm_to_text.pl │ │ │ │ ├── get_ctm.sh │ │ │ │ ├── get_ctm_edits.py │ │ │ │ ├── get_non_scored_words.py │ │ │ │ ├── get_pron_stats.py │ │ │ │ ├── make_one_biased_lm.py │ │ │ │ ├── modify_ctm_edits.py │ │ │ │ ├── resolve_ctm_edits_overlaps.py │ │ │ │ ├── retrieve_similar_docs.py │ │ │ │ ├── segment_ctm_edits.py │ │ │ │ ├── segment_ctm_edits_mild.py │ │ │ │ ├── split_text_into_docs.pl │ │ │ │ ├── stitch_documents.py │ │ │ │ ├── taint_ctm_edits.py │ │ │ │ └── tf_idf.py │ │ │ ├── lattice_oracle_align.sh │ │ │ ├── make_biased_lm_graphs.sh │ │ │ ├── make_biased_lms.py │ │ │ ├── make_segmentation_data_dir.sh │ │ │ ├── make_segmentation_graph.sh │ │ │ ├── make_utterance_fsts.pl │ │ │ ├── make_utterance_graph.sh │ │ │ ├── segment_long_utterances.sh │ │ │ └── split_long_utterance.sh │ │ ├── combine_ali_dirs.sh │ │ ├── compute_cmvn_stats.sh │ │ ├── conf │ │ │ ├── append_eval_to_ctm.py │ │ │ ├── append_prf_to_ctm.py │ │ │ ├── apply_calibration.sh │ │ │ ├── convert_ctm_to_tra.py │ │ │ ├── lattice_depth_per_frame.sh │ │ │ ├── parse_arpa_unigrams.py │ │ │ ├── prepare_calibration_data.py │ │ │ ├── prepare_word_categories.py │ │ │ └── train_calibration.sh │ │ ├── data │ │ │ ├── augment_data_dir.py │ │ │ ├── augment_data_dir_new.py │ │ │ ├── data_dir_manipulation_lib.py │ │ │ └── reverberate_data_dir.py │ │ ├── decode.sh │ │ ├── decode_basis_fmllr.sh │ │ ├── decode_biglm.sh │ │ ├── decode_combine.sh │ │ ├── decode_fmllr.sh │ │ ├── decode_fmllr_extra.sh │ │ ├── decode_fmmi.sh │ │ ├── decode_fromlats.sh │ │ ├── decode_lvtln.sh │ │ ├── decode_nnet.sh │ │ ├── decode_nolats.sh │ │ ├── decode_raw_fmllr.sh │ │ ├── decode_sgmm2.sh │ │ ├── decode_sgmm2_fromlats.sh │ │ ├── decode_sgmm2_rescore.sh │ │ ├── decode_sgmm2_rescore_project.sh │ │ ├── decode_si.sh │ │ ├── decode_with_map.sh │ │ ├── diagnostic │ │ │ ├── analyze_alignments.sh │ │ │ ├── analyze_lats.sh │ │ │ ├── analyze_lattice_depth_stats.py │ │ │ └── analyze_phone_length_stats.py │ │ ├── dict │ │ │ ├── apply_g2p.sh │ │ │ ├── apply_lexicon_edits.py │ │ │ ├── get_pron_stats.py │ │ │ ├── internal │ │ │ │ └── prune_pron_candidates.py │ │ │ ├── learn_lexicon.sh │ │ │ ├── prons_to_lexicon.py │ │ │ ├── prune_pron_candidates.py │ │ │ ├── select_prons_bayesian.py │ │ │ └── train_g2p.sh │ │ ├── generate_spk_ali.py │ │ ├── get_ctm.sh │ │ ├── get_fmllr_basis.sh │ │ ├── get_lexicon_probs.sh │ │ ├── get_num_targets.py │ │ ├── get_prons.sh │ │ ├── get_train_ctm.sh │ │ ├── info │ │ │ ├── chain_dir_info.pl │ │ │ ├── gmm_dir_info.pl │ │ │ ├── nnet2_dir_info.pl │ │ │ ├── nnet3_dir_info.pl │ │ │ └── nnet3_disc_dir_info.pl │ │ ├── kl_hmm │ │ │ ├── build_tree.sh │ │ │ ├── decode_kl_hmm.sh │ │ │ └── train_kl_hmm.sh │ │ ├── libs │ │ │ ├── __init__.py │ │ │ ├── common.py │ │ │ └── nnet3 │ │ │ │ ├── __init__.py │ │ │ │ ├── report │ │ │ │ ├── __init__.py │ │ │ │ └── log_parse.py │ │ │ │ ├── train │ │ │ │ ├── __init__.py │ │ │ │ ├── chain_objf │ │ │ │ │ ├── __init__.py │ │ │ │ │ └── acoustic_model.py │ │ │ │ ├── common.py │ │ │ │ ├── dropout_schedule.py │ │ │ │ ├── frame_level_objf │ │ │ │ │ ├── __init__.py │ │ │ │ │ ├── acoustic_model.py │ │ │ │ │ ├── common.py │ │ │ │ │ └── raw_model.py │ │ │ │ └── frame_level_objf_20180105 │ │ │ │ │ ├── __init__.py │ │ │ │ │ ├── acoustic_model.py │ │ │ │ │ ├── common.py │ │ │ │ │ └── raw_model.py │ │ │ │ └── xconfig │ │ │ │ ├── __init__.py │ │ │ │ ├── attention.py │ │ │ │ ├── basic_layers.py │ │ │ │ ├── convolution.py │ │ │ │ ├── gru.py │ │ │ │ ├── layers.py │ │ │ │ ├── lstm.py │ │ │ │ ├── parser.py │ │ │ │ ├── stats_layer.py │ │ │ │ ├── trivial_layers.py │ │ │ │ └── utils.py │ │ ├── lmrescore.sh │ │ ├── lmrescore_const_arpa.sh │ │ ├── lmrescore_rnnlm_lat.sh │ │ ├── make_denlats.sh │ │ ├── make_denlats_sgmm2.sh │ │ ├── make_fbank.sh │ │ ├── make_fbank_pitch.sh │ │ ├── make_index.sh │ │ ├── make_mfcc.sh │ │ ├── make_mfcc_pitch.sh │ │ ├── make_mfcc_pitch_online.sh │ │ ├── make_phone_graph.sh │ │ ├── make_plp.sh │ │ ├── make_plp_pitch.sh │ │ ├── nnet │ │ │ ├── align.sh │ │ │ ├── decode.sh │ │ │ ├── ivector │ │ │ │ ├── extract_ivectors.sh │ │ │ │ ├── train_diag_ubm.sh │ │ │ │ └── train_ivector_extractor.sh │ │ │ ├── make_bn_feats.sh │ │ │ ├── make_denlats.sh │ │ │ ├── make_fmllr_feats.sh │ │ │ ├── make_fmmi_feats.sh │ │ │ ├── make_priors.sh │ │ │ ├── pretrain_dbn.sh │ │ │ ├── train.sh │ │ │ ├── train_mmi.sh │ │ │ ├── train_mpe.sh │ │ │ └── train_scheduler.sh │ │ ├── nnet2 │ │ │ ├── adjust_priors.sh │ │ │ ├── align.sh │ │ │ ├── check_ivectors_compatible.sh │ │ │ ├── convert_lda_to_raw.sh │ │ │ ├── convert_nnet1_to_nnet2.sh │ │ │ ├── create_appended_model.sh │ │ │ ├── decode.sh │ │ │ ├── dump_bottleneck_features.sh │ │ │ ├── get_egs.sh │ │ │ ├── get_egs2.sh │ │ │ ├── get_egs_discriminative2.sh │ │ │ ├── get_ivector_id.sh │ │ │ ├── get_lda.sh │ │ │ ├── get_lda_block.sh │ │ │ ├── get_num_frames.sh │ │ │ ├── get_perturbed_feats.sh │ │ │ ├── make_denlats.sh │ │ │ ├── make_multisplice_configs.py │ │ │ ├── relabel_egs.sh │ │ │ ├── relabel_egs2.sh │ │ │ ├── remove_egs.sh │ │ │ ├── retrain_fast.sh │ │ │ ├── retrain_simple2.sh │ │ │ ├── retrain_tanh.sh │ │ │ ├── train_block.sh │ │ │ ├── train_convnet_accel2.sh │ │ │ ├── train_discriminative.sh │ │ │ ├── train_discriminative2.sh │ │ │ ├── train_discriminative_multilang2.sh │ │ │ ├── train_more.sh │ │ │ ├── train_more2.sh │ │ │ ├── train_multilang2.sh │ │ │ ├── train_multisplice_accel2.sh │ │ │ ├── train_multisplice_ensemble.sh │ │ │ ├── train_pnorm.sh │ │ │ ├── train_pnorm_accel2.sh │ │ │ ├── train_pnorm_bottleneck_fast.sh │ │ │ ├── train_pnorm_ensemble.sh │ │ │ ├── train_pnorm_fast.sh │ │ │ ├── train_pnorm_multisplice.sh │ │ │ ├── train_pnorm_multisplice2.sh │ │ │ ├── train_pnorm_simple.sh │ │ │ ├── train_pnorm_simple2.sh │ │ │ ├── train_tanh.sh │ │ │ ├── train_tanh_bottleneck.sh │ │ │ ├── train_tanh_fast.sh │ │ │ └── update_nnet.sh │ │ ├── nnet3 │ │ │ ├── adjust_priors.sh │ │ │ ├── align.sh │ │ │ ├── align_cvector.sh │ │ │ ├── align_lats.sh │ │ │ ├── chain │ │ │ │ ├── build_tree.sh │ │ │ │ ├── gen_topo.pl │ │ │ │ ├── gen_topo.py │ │ │ │ ├── gen_topo2.py │ │ │ │ ├── gen_topo3.py │ │ │ │ ├── gen_topo4.py │ │ │ │ ├── gen_topo5.py │ │ │ │ ├── gen_topo_orig.py │ │ │ │ ├── get_egs.sh │ │ │ │ ├── make_weighted_den_fst.sh │ │ │ │ ├── train.py │ │ │ │ └── train_tdnn.sh │ │ │ ├── combined_vector │ │ │ │ └── train_combined_dnn.py │ │ │ ├── components.py │ │ │ ├── compute_output.sh │ │ │ ├── convert_nnet2_to_nnet3.py │ │ │ ├── cvector │ │ │ │ └── get_model_from_raw.sh │ │ │ ├── decode.sh │ │ │ ├── decode_cvector.sh │ │ │ ├── decode_looped.sh │ │ │ ├── decode_wcmvn.sh │ │ │ ├── dot │ │ │ │ ├── descriptor_parser.py │ │ │ │ └── nnet3_to_dot.py │ │ │ ├── get_degs.sh │ │ │ ├── get_egs.sh │ │ │ ├── get_egs_discriminative.sh │ │ │ ├── get_egs_raw_train_valid.sh │ │ │ ├── get_egs_targets.sh │ │ │ ├── get_egs_train_valid.sh │ │ │ ├── get_saturation.pl │ │ │ ├── get_successful_models.py │ │ │ ├── lstm │ │ │ │ ├── make_configs.py │ │ │ │ └── train.sh │ │ │ ├── make_bottleneck_features.sh │ │ │ ├── make_bottleneck_features_new.sh │ │ │ ├── make_denlats.sh │ │ │ ├── make_tdnn_configs.py │ │ │ ├── multilingual │ │ │ │ ├── allocate_multilingual_examples.py │ │ │ │ └── combine_egs.sh │ │ │ ├── nnet3_make_bottleneck.sh │ │ │ ├── nnet3_make_bottleneck_dvector.sh │ │ │ ├── nnet3_to_dot.sh │ │ │ ├── report │ │ │ │ ├── generate_plots.py │ │ │ │ └── summarize_compute_debug_timing.py │ │ │ ├── tdnn │ │ │ │ ├── make_configs.py │ │ │ │ ├── train.sh │ │ │ │ └── train_raw_nnet.sh │ │ │ ├── train_cvector_dnn.py │ │ │ ├── train_discriminative.sh │ │ │ ├── train_dnn.py │ │ │ ├── train_dnn_new.py │ │ │ ├── train_raw_dnn.py │ │ │ ├── train_raw_dnn_new.py │ │ │ ├── train_raw_rnn.py │ │ │ ├── train_rnn.py │ │ │ ├── train_tdnn.sh │ │ │ ├── xconfig_to_configs.py │ │ │ ├── xconfig_to_configs_multiple_input.py │ │ │ └── xconfig_to_configs_new.py │ │ ├── online │ │ │ ├── decode.sh │ │ │ ├── nnet2 │ │ │ │ ├── align.sh │ │ │ │ ├── copy_data_dir.sh │ │ │ │ ├── copy_ivector_dir.sh │ │ │ │ ├── decode.sh │ │ │ │ ├── dump_nnet_activations.sh │ │ │ │ ├── extract_ivectors.sh │ │ │ │ ├── extract_ivectors_online.sh │ │ │ │ ├── get_egs.sh │ │ │ │ ├── get_egs2.sh │ │ │ │ ├── get_egs_discriminative2.sh │ │ │ │ ├── get_pca_transform.sh │ │ │ │ ├── make_denlats.sh │ │ │ │ ├── prepare_online_decoding.sh │ │ │ │ ├── prepare_online_decoding_retrain.sh │ │ │ │ ├── prepare_online_decoding_transfer.sh │ │ │ │ ├── train_diag_ubm.sh │ │ │ │ └── train_ivector_extractor.sh │ │ │ ├── nnet3 │ │ │ │ ├── decode.sh │ │ │ │ └── prepare_online_decoding.sh │ │ │ └── prepare_online_decoding.sh │ │ ├── oracle_wer.sh │ │ ├── paste_feats.sh │ │ ├── resegment_data.sh │ │ ├── resegment_text.sh │ │ ├── rnnlmrescore.sh │ │ ├── score_kaldi.sh │ │ ├── score_kaldi_compare.sh │ │ ├── scoring │ │ │ ├── score_kaldi_cer.sh │ │ │ ├── score_kaldi_compare.sh │ │ │ └── score_kaldi_wer.sh │ │ ├── search_index.sh │ │ ├── select_feats.sh │ │ ├── shift_feats.sh │ │ ├── tandem │ │ │ ├── align_fmllr.sh │ │ │ ├── align_sgmm2.sh │ │ │ ├── align_si.sh │ │ │ ├── decode.sh │ │ │ ├── decode_fmllr.sh │ │ │ ├── decode_sgmm2.sh │ │ │ ├── decode_si.sh │ │ │ ├── make_denlats.sh │ │ │ ├── make_denlats_sgmm2.sh │ │ │ ├── mk_aslf_lda_mllt.sh │ │ │ ├── mk_aslf_sgmm2.sh │ │ │ ├── train_deltas.sh │ │ │ ├── train_lda_mllt.sh │ │ │ ├── train_mllt.sh │ │ │ ├── train_mmi.sh │ │ │ ├── train_mmi_sgmm2.sh │ │ │ ├── train_mono.sh │ │ │ ├── train_sat.sh │ │ │ ├── train_sgmm2.sh │ │ │ └── train_ubm.sh │ │ ├── train_deltas.sh │ │ ├── train_diag_ubm.sh │ │ ├── train_lda_mllt.sh │ │ ├── train_lvtln.sh │ │ ├── train_map.sh │ │ ├── train_mmi.sh │ │ ├── train_mmi_fmmi.sh │ │ ├── train_mmi_fmmi_indirect.sh │ │ ├── train_mmi_sgmm2.sh │ │ ├── train_mono.sh │ │ ├── train_mono_further.sh │ │ ├── train_mpe.sh │ │ ├── train_nnet.sh │ │ ├── train_quick.sh │ │ ├── train_raw_sat.sh │ │ ├── train_sat.sh │ │ ├── train_sat_basis.sh │ │ ├── train_segmenter.sh │ │ ├── train_sgmm2.sh │ │ ├── train_sgmm2_group.sh │ │ ├── train_smbr.sh │ │ ├── train_ubm.sh │ │ └── word_align_lattices.sh │ └── utils │ │ ├── add_disambig.pl │ │ ├── add_lex_disambig.pl │ │ ├── analyze_segments.pl │ │ ├── apply_map.pl │ │ ├── best_wer.sh │ │ ├── build_const_arpa_lm.sh │ │ ├── combine_data.sh │ │ ├── combine_vad_phone_align.py │ │ ├── combine_vad_phone_align_aux.py │ │ ├── convert_ctm.pl │ │ ├── convert_data_segment_to_utt.sh │ │ ├── convert_phone_set.py │ │ ├── convert_slf.pl │ │ ├── convert_slf_parallel.sh │ │ ├── convert_to_lab.sh │ │ ├── copy_data_dir.sh │ │ ├── copy_data_dir_new.sh │ │ ├── create_data_link.pl │ │ ├── create_split_dir.pl │ │ ├── data │ │ ├── combine_data.sh │ │ ├── combine_short_segments.sh │ │ ├── convert_data_dir_to_whole.sh │ │ ├── copy_data_dir.sh │ │ ├── extend_segment_times.py │ │ ├── find_dup_utts.sh │ │ ├── fix_data_dir.sh │ │ ├── fix_subsegment_feats.pl │ │ ├── get_frame_shift.sh │ │ ├── get_num_frames.sh │ │ ├── get_segments_for_data.sh │ │ ├── get_uniform_subsegments.py │ │ ├── get_utt2dur.sh │ │ ├── get_utt2num_frames.sh │ │ ├── internal │ │ │ ├── choose_utts_to_combine.py │ │ │ └── modify_speaker_info.py │ │ ├── limit_feature_dim.sh │ │ ├── modify_speaker_info.sh │ │ ├── normalize_data_range.pl │ │ ├── perturb_data_dir_speed.sh │ │ ├── perturb_data_dir_speed_3way.sh │ │ ├── perturb_data_dir_volume.sh │ │ ├── remove_dup_utts.sh │ │ ├── remove_noise_utts.sh │ │ ├── remove_oov_utts.sh │ │ ├── remove_short_utts.sh │ │ ├── shift_and_combine_feats.sh │ │ ├── shift_feats.sh │ │ ├── sort_by_freq.py │ │ ├── split_data.sh │ │ ├── subsegment_data_dir.sh │ │ ├── subset_data_dir.sh │ │ └── validate_data_dir.sh │ │ ├── dict_dir_add_pronprobs.sh │ │ ├── eps2disambig.pl │ │ ├── filt.py │ │ ├── filter_scp.pl │ │ ├── filter_scps.pl │ │ ├── find_arpa_oovs.pl │ │ ├── fix_ctm.sh │ │ ├── fix_data_dir.sh │ │ ├── fix_segment_spk2gender.py │ │ ├── fix_sre04.py │ │ ├── fix_sre05.py │ │ ├── fix_sre06.py │ │ ├── fix_sre08.py │ │ ├── fix_sre10.py │ │ ├── fix_swbd.py │ │ ├── fix_swbd_cell.py │ │ ├── format_lm.sh │ │ ├── format_lm_sri.sh │ │ ├── gen_topo.pl │ │ ├── int2sym.pl │ │ ├── kwslist_post_process.pl │ │ ├── lang │ │ ├── add_lex_disambig.pl │ │ ├── check_g_properties.pl │ │ ├── check_phones_compatible.sh │ │ ├── internal │ │ │ ├── apply_unk_lm.sh │ │ │ ├── arpa2fst_constrained.py │ │ │ └── modify_unk_pron.py │ │ ├── make_phone_bigram_lang.sh │ │ ├── make_phone_lm.py │ │ ├── make_unk_lm.sh │ │ ├── prepare_lang.sh │ │ ├── validate_disambig_sym_file.pl │ │ └── validate_lang.pl │ │ ├── ln.pl │ │ ├── make_absolute.sh │ │ ├── make_lexicon_fst.pl │ │ ├── make_lexicon_fst_silprob.pl │ │ ├── make_unigram_grammar.pl │ │ ├── map_arpa_lm.pl │ │ ├── max_index.py │ │ ├── mkgraph.sh │ │ ├── nnet-cpu │ │ ├── make_nnet_config.pl │ │ ├── make_nnet_config_block.pl │ │ ├── make_nnet_config_preconditioned.pl │ │ └── update_learning_rates.pl │ │ ├── nnet │ │ ├── gen_dct_mat.py │ │ ├── gen_hamm_mat.py │ │ ├── gen_splice.py │ │ ├── make_blstm_proto.py │ │ ├── make_cnn2d_proto.py │ │ ├── make_cnn_proto.py │ │ ├── make_lstm_proto.py │ │ └── make_nnet_proto.py │ │ ├── parallel │ │ └── limit_num_gpus.sh │ │ ├── parse_options.sh │ │ ├── pbs.pl │ │ ├── perturb_data_dir_speed.sh │ │ ├── pinyin_map.pl │ │ ├── prepare_lang.sh │ │ ├── prepare_online_nnet_dist_build.sh │ │ ├── queue.pl │ │ ├── recover_scores.py │ │ ├── remove_data_links.sh │ │ ├── remove_oovs.pl │ │ ├── reverse_arpa.py │ │ ├── rnnlm_compute_scores.sh │ │ ├── run.pl │ │ ├── s2eps.pl │ │ ├── sample_validset_spk2utt.py │ │ ├── scoring │ │ ├── wer_ops_details.pl │ │ ├── wer_per_spk_details.pl │ │ ├── wer_per_utt_details.pl │ │ └── wer_report.pl │ │ ├── segmentation.pl │ │ ├── show_lattice.sh │ │ ├── show_max_len_per_spk.py │ │ ├── shuffle_list.pl │ │ ├── slurm.pl │ │ ├── sort_data_dir_by_len.py │ │ ├── spk2utt_to_utt2spk.pl │ │ ├── split_data.sh │ │ ├── split_scp.pl │ │ ├── ssh.pl │ │ ├── subset_data_dir.sh │ │ ├── subset_data_dir_per_gender.sh │ │ ├── subset_data_dir_per_spk_len.sh │ │ ├── subset_data_dir_tr_cv.sh │ │ ├── subset_scp.pl │ │ ├── summarize_logs.pl │ │ ├── summarize_warnings.pl │ │ ├── sym2int.pl │ │ ├── utt2spk_to_spk2utt.pl │ │ ├── validate_data_dir.sh │ │ ├── validate_dict_dir.pl │ │ ├── validate_lang.pl │ │ └── write_kwslist.pl │ └── v5 │ ├── cmd.sh │ ├── conf │ ├── mfcc.conf │ ├── mfcc_hires.conf │ └── vad.conf │ ├── local │ ├── dict.patch │ ├── dnn │ │ ├── README │ │ ├── fisher_create_test_lang.sh │ │ ├── fisher_data_prep.sh │ │ ├── fisher_fix_speakerid.pl │ │ ├── fisher_prepare_dict.sh │ │ ├── fisher_train_lms.sh │ │ ├── remove_dup_utts.sh │ │ ├── run_nnet2_common.sh │ │ ├── run_nnet2_multisplice.sh │ │ └── train_dnn.sh │ ├── fisher_create_test_lang.sh │ ├── fisher_data_prep.sh │ ├── fisher_fix_speakerid.pl │ ├── fisher_prepare_dict.sh │ ├── fisher_swbd_prepare_dict.sh │ ├── fisher_train_lms.sh │ ├── format_acronyms_dict.py │ ├── make_musan.py │ ├── make_musan.sh │ ├── make_mx6.sh │ ├── make_mx6_calls.pl │ ├── make_mx6_mic.pl │ ├── make_sre.pl │ ├── make_sre.sh │ ├── make_sre08.pl │ ├── make_sre10.pl │ ├── make_sre10_10sec.py │ ├── make_sre10_coreext_c5.py │ ├── make_sre16_eval.pl │ ├── make_sre16_unlabeled.pl │ ├── make_swbd2_phase1.pl │ ├── make_swbd2_phase2.pl │ ├── make_swbd2_phase3.pl │ ├── make_swbd_cellular1.pl │ ├── make_swbd_cellular2.pl │ ├── map_acronyms_transcripts.py │ ├── nnet3 │ │ └── xvector │ │ │ ├── prepare_feats_for_egs.sh │ │ │ ├── prepare_feats_for_egs_new.sh │ │ │ ├── run_xvector.sh │ │ │ ├── run_xvector_new.sh │ │ │ ├── run_xvector_pa_wo_pretrain.sh │ │ │ └── tuning │ │ │ └── run_xvector_1a.sh │ ├── nnet3_cvector │ │ ├── cvector │ │ │ ├── prepare_nnet3_xconfig.sh │ │ │ ├── prepare_nnet3_xconfig_2share.sh │ │ │ ├── prepare_nnet3_xconfig_3share.sh │ │ │ ├── prepare_nnet3_xconfig_4share.sh │ │ │ ├── train_am.sh │ │ │ ├── train_cvector.sh │ │ │ ├── train_cvector_with_am.sh │ │ │ ├── train_cvector_with_am_2share.sh │ │ │ ├── train_cvector_with_am_3share.sh │ │ │ └── train_xvector_with_am.sh │ │ └── xvector │ │ │ ├── prepare_feats_for_egs.sh │ │ │ ├── prepare_feats_for_egs_new.sh │ │ │ ├── run_dvector.sh │ │ │ ├── run_xvector.sh │ │ │ ├── run_xvector_new.sh │ │ │ └── tuning │ │ │ └── run_xvector_1a.sh │ ├── swbd1_data_download.sh │ ├── swbd1_data_prep.sh │ └── swbd1_map_words.pl │ ├── path.sh │ ├── run_sre10.sh │ ├── run_sre16.sh │ ├── sid │ ├── compute_vad_decision.sh │ ├── compute_vad_decision_gmm.sh │ ├── extract_ivectors.sh │ ├── extract_ivectors_dnn.sh │ ├── extract_ivectors_nnet3.sh │ ├── extract_ivectors_nnet3.sh.bak │ ├── extract_post_nnet3.sh │ ├── gender_id.sh │ ├── init_full_ubm_from_dnn.sh │ ├── init_full_ubm_from_nnet3.sh │ ├── music_id.sh │ ├── nnet2 │ │ ├── get_egs2.sh │ │ ├── get_lda.sh │ │ └── train_multisplice_accel2.sh │ ├── nnet3 │ │ └── xvector │ │ │ ├── allocate_egs.py │ │ │ ├── allocate_egs_dvector.py │ │ │ ├── allocate_egs_new.py │ │ │ ├── extract_output_new.sh │ │ │ ├── extract_xvectors.sh │ │ │ ├── extract_xvectors_new.sh │ │ │ ├── get_egs.sh │ │ │ ├── get_egs_dvector.sh │ │ │ ├── get_egs_framebyframe.sh │ │ │ ├── get_egs_new.sh │ │ │ ├── tf_extract_activations_for_analysis.sh │ │ │ ├── tf_extract_weights.sh │ │ │ ├── tf_extract_xvectors_new.sh │ │ │ └── tf_extract_xvectors_with_text.sh │ ├── nnet3_cvector │ │ ├── am │ │ │ └── extract_bn.sh │ │ ├── cvector │ │ │ ├── allocate_egs_new.py │ │ │ ├── extract_am_embedding.sh │ │ │ ├── extract_cvectors_with_am.sh │ │ │ ├── extract_cvectors_with_embedding.sh │ │ │ ├── extract_log_post.sh │ │ │ ├── extract_output_with_am.sh │ │ │ ├── extract_xvectors_new.sh │ │ │ ├── get_egs_am.sh │ │ │ ├── get_egs_cvector.sh │ │ │ ├── get_egs_with_ali_from_xvec_egs.sh │ │ │ ├── get_egs_xvec.sh │ │ │ ├── get_egs_xvec_with_embedding.sh │ │ │ ├── get_egs_xvec_with_feat.sh │ │ │ ├── prepare_ali_and_phones.sh │ │ │ ├── prepare_embedding.sh │ │ │ ├── prepare_feats.sh │ │ │ ├── prepare_feats_from_nosil.sh │ │ │ └── train_cvector_with_am_expand.sh │ │ └── xvector │ │ │ ├── allocate_egs.py │ │ │ ├── allocate_egs_dvector.py │ │ │ ├── allocate_egs_new.py │ │ │ ├── extract_xvectors.sh │ │ │ ├── extract_xvectors_new.sh │ │ │ ├── get_egs.sh │ │ │ ├── get_egs_dvector.sh │ │ │ ├── get_egs_framebyframe.sh │ │ │ └── get_egs_new.sh │ ├── train_diag_ubm.sh │ ├── train_full_ubm.sh │ ├── train_ivector_extractor.sh │ ├── train_ivector_extractor_dnn.sh │ └── train_ivector_extractor_nnet3.sh │ ├── steps │ ├── align_basis_fmllr.sh │ ├── align_fmllr.sh │ ├── align_fmllr_lats.sh │ ├── align_fmllr_new.sh │ ├── align_lvtln.sh │ ├── align_raw_fmllr.sh │ ├── align_sgmm2.sh │ ├── align_si.sh │ ├── append_feats.sh │ ├── cleanup │ │ ├── clean_and_segment_data.sh │ │ ├── combine_short_segments.py │ │ ├── create_segments_from_ctm.pl │ │ ├── debug_lexicon.sh │ │ ├── decode_fmllr_segmentation.sh │ │ ├── decode_segmentation.sh │ │ ├── find_bad_utts.sh │ │ ├── find_bad_utts_nnet.sh │ │ ├── internal │ │ │ ├── align_ctm_ref.py │ │ │ ├── compute_tf_idf.py │ │ │ ├── ctm_to_text.pl │ │ │ ├── get_ctm.sh │ │ │ ├── get_ctm_edits.py │ │ │ ├── get_non_scored_words.py │ │ │ ├── get_pron_stats.py │ │ │ ├── make_one_biased_lm.py │ │ │ ├── modify_ctm_edits.py │ │ │ ├── resolve_ctm_edits_overlaps.py │ │ │ ├── retrieve_similar_docs.py │ │ │ ├── segment_ctm_edits.py │ │ │ ├── segment_ctm_edits_mild.py │ │ │ ├── split_text_into_docs.pl │ │ │ ├── stitch_documents.py │ │ │ ├── taint_ctm_edits.py │ │ │ └── tf_idf.py │ │ ├── lattice_oracle_align.sh │ │ ├── make_biased_lm_graphs.sh │ │ ├── make_biased_lms.py │ │ ├── make_segmentation_data_dir.sh │ │ ├── make_segmentation_graph.sh │ │ ├── make_utterance_fsts.pl │ │ ├── make_utterance_graph.sh │ │ ├── segment_long_utterances.sh │ │ └── split_long_utterance.sh │ ├── combine_ali_dirs.sh │ ├── compute_cmvn_stats.sh │ ├── conf │ │ ├── append_eval_to_ctm.py │ │ ├── append_prf_to_ctm.py │ │ ├── apply_calibration.sh │ │ ├── convert_ctm_to_tra.py │ │ ├── lattice_depth_per_frame.sh │ │ ├── parse_arpa_unigrams.py │ │ ├── prepare_calibration_data.py │ │ ├── prepare_word_categories.py │ │ └── train_calibration.sh │ ├── data │ │ ├── augment_data_dir.py │ │ ├── augment_data_dir_new.py │ │ ├── data_dir_manipulation_lib.py │ │ └── reverberate_data_dir.py │ ├── decode.sh │ ├── decode_basis_fmllr.sh │ ├── decode_biglm.sh │ ├── decode_combine.sh │ ├── decode_fmllr.sh │ ├── decode_fmllr_extra.sh │ ├── decode_fmmi.sh │ ├── decode_fromlats.sh │ ├── decode_lvtln.sh │ ├── decode_nnet.sh │ ├── decode_nolats.sh │ ├── decode_raw_fmllr.sh │ ├── decode_sgmm2.sh │ ├── decode_sgmm2_fromlats.sh │ ├── decode_sgmm2_rescore.sh │ ├── decode_sgmm2_rescore_project.sh │ ├── decode_si.sh │ ├── decode_with_map.sh │ ├── diagnostic │ │ ├── analyze_alignments.sh │ │ ├── analyze_lats.sh │ │ ├── analyze_lattice_depth_stats.py │ │ └── analyze_phone_length_stats.py │ ├── dict │ │ ├── apply_g2p.sh │ │ ├── apply_lexicon_edits.py │ │ ├── get_pron_stats.py │ │ ├── internal │ │ │ └── prune_pron_candidates.py │ │ ├── learn_lexicon.sh │ │ ├── prons_to_lexicon.py │ │ ├── prune_pron_candidates.py │ │ ├── select_prons_bayesian.py │ │ └── train_g2p.sh │ ├── generate_spk_ali.py │ ├── get_ctm.sh │ ├── get_fmllr_basis.sh │ ├── get_lexicon_probs.sh │ ├── get_num_targets.py │ ├── get_prons.sh │ ├── get_train_ctm.sh │ ├── info │ │ ├── chain_dir_info.pl │ │ ├── gmm_dir_info.pl │ │ ├── nnet2_dir_info.pl │ │ ├── nnet3_dir_info.pl │ │ └── nnet3_disc_dir_info.pl │ ├── kl_hmm │ │ ├── build_tree.sh │ │ ├── decode_kl_hmm.sh │ │ └── train_kl_hmm.sh │ ├── libs │ │ ├── __init__.py │ │ ├── common.py │ │ └── nnet3 │ │ │ ├── __init__.py │ │ │ ├── report │ │ │ ├── __init__.py │ │ │ └── log_parse.py │ │ │ ├── train │ │ │ ├── __init__.py │ │ │ ├── chain_objf │ │ │ │ ├── __init__.py │ │ │ │ └── acoustic_model.py │ │ │ ├── common.py │ │ │ ├── dropout_schedule.py │ │ │ ├── frame_level_objf │ │ │ │ ├── __init__.py │ │ │ │ ├── acoustic_model.py │ │ │ │ ├── common.py │ │ │ │ └── raw_model.py │ │ │ └── frame_level_objf_20180105 │ │ │ │ ├── __init__.py │ │ │ │ ├── acoustic_model.py │ │ │ │ ├── common.py │ │ │ │ └── raw_model.py │ │ │ └── xconfig │ │ │ ├── __init__.py │ │ │ ├── attention.py │ │ │ ├── basic_layers.py │ │ │ ├── convolution.py │ │ │ ├── gru.py │ │ │ ├── layers.py │ │ │ ├── lstm.py │ │ │ ├── parser.py │ │ │ ├── stats_layer.py │ │ │ ├── trivial_layers.py │ │ │ └── utils.py │ ├── lmrescore.sh │ ├── lmrescore_const_arpa.sh │ ├── lmrescore_rnnlm_lat.sh │ ├── make_denlats.sh │ ├── make_denlats_sgmm2.sh │ ├── make_fbank.sh │ ├── make_fbank_pitch.sh │ ├── make_index.sh │ ├── make_mfcc.sh │ ├── make_mfcc_pitch.sh │ ├── make_mfcc_pitch_online.sh │ ├── make_phone_graph.sh │ ├── make_plp.sh │ ├── make_plp_pitch.sh │ ├── nnet │ │ ├── align.sh │ │ ├── decode.sh │ │ ├── ivector │ │ │ ├── extract_ivectors.sh │ │ │ ├── train_diag_ubm.sh │ │ │ └── train_ivector_extractor.sh │ │ ├── make_bn_feats.sh │ │ ├── make_denlats.sh │ │ ├── make_fmllr_feats.sh │ │ ├── make_fmmi_feats.sh │ │ ├── make_priors.sh │ │ ├── pretrain_dbn.sh │ │ ├── train.sh │ │ ├── train_mmi.sh │ │ ├── train_mpe.sh │ │ └── train_scheduler.sh │ ├── nnet2 │ │ ├── adjust_priors.sh │ │ ├── align.sh │ │ ├── check_ivectors_compatible.sh │ │ ├── convert_lda_to_raw.sh │ │ ├── convert_nnet1_to_nnet2.sh │ │ ├── create_appended_model.sh │ │ ├── decode.sh │ │ ├── dump_bottleneck_features.sh │ │ ├── get_egs.sh │ │ ├── get_egs2.sh │ │ ├── get_egs_discriminative2.sh │ │ ├── get_ivector_id.sh │ │ ├── get_lda.sh │ │ ├── get_lda_block.sh │ │ ├── get_num_frames.sh │ │ ├── get_perturbed_feats.sh │ │ ├── make_denlats.sh │ │ ├── make_multisplice_configs.py │ │ ├── relabel_egs.sh │ │ ├── relabel_egs2.sh │ │ ├── remove_egs.sh │ │ ├── retrain_fast.sh │ │ ├── retrain_simple2.sh │ │ ├── retrain_tanh.sh │ │ ├── train_block.sh │ │ ├── train_convnet_accel2.sh │ │ ├── train_discriminative.sh │ │ ├── train_discriminative2.sh │ │ ├── train_discriminative_multilang2.sh │ │ ├── train_more.sh │ │ ├── train_more2.sh │ │ ├── train_multilang2.sh │ │ ├── train_multisplice_accel2.sh │ │ ├── train_multisplice_ensemble.sh │ │ ├── train_pnorm.sh │ │ ├── train_pnorm_accel2.sh │ │ ├── train_pnorm_bottleneck_fast.sh │ │ ├── train_pnorm_ensemble.sh │ │ ├── train_pnorm_fast.sh │ │ ├── train_pnorm_multisplice.sh │ │ ├── train_pnorm_multisplice2.sh │ │ ├── train_pnorm_simple.sh │ │ ├── train_pnorm_simple2.sh │ │ ├── train_tanh.sh │ │ ├── train_tanh_bottleneck.sh │ │ ├── train_tanh_fast.sh │ │ └── update_nnet.sh │ ├── nnet3 │ │ ├── adjust_priors.sh │ │ ├── align.sh │ │ ├── align_cvector.sh │ │ ├── align_lats.sh │ │ ├── chain │ │ │ ├── build_tree.sh │ │ │ ├── gen_topo.pl │ │ │ ├── gen_topo.py │ │ │ ├── gen_topo2.py │ │ │ ├── gen_topo3.py │ │ │ ├── gen_topo4.py │ │ │ ├── gen_topo5.py │ │ │ ├── gen_topo_orig.py │ │ │ ├── get_egs.sh │ │ │ ├── make_weighted_den_fst.sh │ │ │ ├── train.py │ │ │ └── train_tdnn.sh │ │ ├── combined_vector │ │ │ └── train_combined_dnn.py │ │ ├── components.py │ │ ├── compute_output.sh │ │ ├── convert_nnet2_to_nnet3.py │ │ ├── cvector │ │ │ └── get_model_from_raw.sh │ │ ├── decode.sh │ │ ├── decode_cvector.sh │ │ ├── decode_looped.sh │ │ ├── decode_wcmvn.sh │ │ ├── dot │ │ │ ├── descriptor_parser.py │ │ │ └── nnet3_to_dot.py │ │ ├── get_degs.sh │ │ ├── get_egs.sh │ │ ├── get_egs_discriminative.sh │ │ ├── get_egs_raw_train_valid.sh │ │ ├── get_egs_targets.sh │ │ ├── get_egs_train_valid.sh │ │ ├── get_saturation.pl │ │ ├── get_successful_models.py │ │ ├── lstm │ │ │ ├── make_configs.py │ │ │ └── train.sh │ │ ├── make_bottleneck_features.sh │ │ ├── make_bottleneck_features_new.sh │ │ ├── make_denlats.sh │ │ ├── make_tdnn_configs.py │ │ ├── multilingual │ │ │ ├── allocate_multilingual_examples.py │ │ │ └── combine_egs.sh │ │ ├── nnet3_make_bottleneck.sh │ │ ├── nnet3_make_bottleneck_dvector.sh │ │ ├── nnet3_to_dot.sh │ │ ├── report │ │ │ ├── generate_plots.py │ │ │ └── summarize_compute_debug_timing.py │ │ ├── tdnn │ │ │ ├── make_configs.py │ │ │ ├── train.sh │ │ │ └── train_raw_nnet.sh │ │ ├── train_cvector_dnn.py │ │ ├── train_discriminative.sh │ │ ├── train_dnn.py │ │ ├── train_dnn_new.py │ │ ├── train_raw_dnn.py │ │ ├── train_raw_dnn_new.py │ │ ├── train_raw_rnn.py │ │ ├── train_rnn.py │ │ ├── train_tdnn.sh │ │ ├── xconfig_to_configs.py │ │ ├── xconfig_to_configs_multiple_input.py │ │ └── xconfig_to_configs_new.py │ ├── online │ │ ├── decode.sh │ │ ├── nnet2 │ │ │ ├── align.sh │ │ │ ├── copy_data_dir.sh │ │ │ ├── copy_ivector_dir.sh │ │ │ ├── decode.sh │ │ │ ├── dump_nnet_activations.sh │ │ │ ├── extract_ivectors.sh │ │ │ ├── extract_ivectors_online.sh │ │ │ ├── get_egs.sh │ │ │ ├── get_egs2.sh │ │ │ ├── get_egs_discriminative2.sh │ │ │ ├── get_pca_transform.sh │ │ │ ├── make_denlats.sh │ │ │ ├── prepare_online_decoding.sh │ │ │ ├── prepare_online_decoding_retrain.sh │ │ │ ├── prepare_online_decoding_transfer.sh │ │ │ ├── train_diag_ubm.sh │ │ │ └── train_ivector_extractor.sh │ │ ├── nnet3 │ │ │ ├── decode.sh │ │ │ └── prepare_online_decoding.sh │ │ └── prepare_online_decoding.sh │ ├── oracle_wer.sh │ ├── paste_feats.sh │ ├── resegment_data.sh │ ├── resegment_text.sh │ ├── rnnlmrescore.sh │ ├── score_kaldi.sh │ ├── score_kaldi_compare.sh │ ├── scoring │ │ ├── score_kaldi_cer.sh │ │ ├── score_kaldi_compare.sh │ │ └── score_kaldi_wer.sh │ ├── search_index.sh │ ├── select_feats.sh │ ├── shift_feats.sh │ ├── tandem │ │ ├── align_fmllr.sh │ │ ├── align_sgmm2.sh │ │ ├── align_si.sh │ │ ├── decode.sh │ │ ├── decode_fmllr.sh │ │ ├── decode_sgmm2.sh │ │ ├── decode_si.sh │ │ ├── make_denlats.sh │ │ ├── make_denlats_sgmm2.sh │ │ ├── mk_aslf_lda_mllt.sh │ │ ├── mk_aslf_sgmm2.sh │ │ ├── train_deltas.sh │ │ ├── train_lda_mllt.sh │ │ ├── train_mllt.sh │ │ ├── train_mmi.sh │ │ ├── train_mmi_sgmm2.sh │ │ ├── train_mono.sh │ │ ├── train_sat.sh │ │ ├── train_sgmm2.sh │ │ └── train_ubm.sh │ ├── train_deltas.sh │ ├── train_diag_ubm.sh │ ├── train_lda_mllt.sh │ ├── train_lvtln.sh │ ├── train_map.sh │ ├── train_mmi.sh │ ├── train_mmi_fmmi.sh │ ├── train_mmi_fmmi_indirect.sh │ ├── train_mmi_sgmm2.sh │ ├── train_mono.sh │ ├── train_mono_further.sh │ ├── train_mpe.sh │ ├── train_nnet.sh │ ├── train_quick.sh │ ├── train_raw_sat.sh │ ├── train_sat.sh │ ├── train_sat_basis.sh │ ├── train_segmenter.sh │ ├── train_sgmm2.sh │ ├── train_sgmm2_group.sh │ ├── train_smbr.sh │ ├── train_ubm.sh │ └── word_align_lattices.sh │ └── utils │ ├── add_disambig.pl │ ├── add_lex_disambig.pl │ ├── analyze_segments.pl │ ├── apply_map.pl │ ├── best_wer.sh │ ├── build_const_arpa_lm.sh │ ├── combine_data.sh │ ├── combine_vad_phone_align.py │ ├── combine_vad_phone_align_aux.py │ ├── convert_ctm.pl │ ├── convert_data_segment_to_utt.sh │ ├── convert_phone_set.py │ ├── convert_slf.pl │ ├── convert_slf_parallel.sh │ ├── convert_to_lab.sh │ ├── copy_data_dir.sh │ ├── copy_data_dir_new.sh │ ├── create_data_link.pl │ ├── create_split_dir.pl │ ├── data │ ├── combine_data.sh │ ├── combine_short_segments.sh │ ├── convert_data_dir_to_whole.sh │ ├── copy_data_dir.sh │ ├── extend_segment_times.py │ ├── find_dup_utts.sh │ ├── fix_data_dir.sh │ ├── fix_subsegment_feats.pl │ ├── get_frame_shift.sh │ ├── get_num_frames.sh │ ├── get_segments_for_data.sh │ ├── get_uniform_subsegments.py │ ├── get_utt2dur.sh │ ├── get_utt2num_frames.sh │ ├── internal │ │ ├── choose_utts_to_combine.py │ │ └── modify_speaker_info.py │ ├── limit_feature_dim.sh │ ├── modify_speaker_info.sh │ ├── normalize_data_range.pl │ ├── perturb_data_dir_speed.sh │ ├── perturb_data_dir_speed_3way.sh │ ├── perturb_data_dir_volume.sh │ ├── remove_dup_utts.sh │ ├── remove_noise_utts.sh │ ├── remove_oov_utts.sh │ ├── remove_short_utts.sh │ ├── shift_and_combine_feats.sh │ ├── shift_feats.sh │ ├── sort_by_freq.py │ ├── split_data.sh │ ├── subsegment_data_dir.sh │ ├── subset_data_dir.sh │ └── validate_data_dir.sh │ ├── dict_dir_add_pronprobs.sh │ ├── eps2disambig.pl │ ├── filt.py │ ├── filter_scp.pl │ ├── filter_scps.pl │ ├── find_arpa_oovs.pl │ ├── fix_ctm.sh │ ├── fix_data_dir.sh │ ├── fix_segment_spk2gender.py │ ├── fix_sre04.py │ ├── fix_sre05.py │ ├── fix_sre06.py │ ├── fix_sre08.py │ ├── fix_sre10.py │ ├── fix_swbd.py │ ├── fix_swbd_cell.py │ ├── format_lm.sh │ ├── format_lm_sri.sh │ ├── gen_topo.pl │ ├── int2sym.pl │ ├── kwslist_post_process.pl │ ├── lang │ ├── add_lex_disambig.pl │ ├── check_g_properties.pl │ ├── check_phones_compatible.sh │ ├── internal │ │ ├── apply_unk_lm.sh │ │ ├── arpa2fst_constrained.py │ │ └── modify_unk_pron.py │ ├── make_phone_bigram_lang.sh │ ├── make_phone_lm.py │ ├── make_unk_lm.sh │ ├── prepare_lang.sh │ ├── validate_disambig_sym_file.pl │ └── validate_lang.pl │ ├── ln.pl │ ├── make_absolute.sh │ ├── make_lexicon_fst.pl │ ├── make_lexicon_fst_silprob.pl │ ├── make_unigram_grammar.pl │ ├── map_arpa_lm.pl │ ├── max_index.py │ ├── mkgraph.sh │ ├── nnet-cpu │ ├── make_nnet_config.pl │ ├── make_nnet_config_block.pl │ ├── make_nnet_config_preconditioned.pl │ └── update_learning_rates.pl │ ├── nnet │ ├── gen_dct_mat.py │ ├── gen_hamm_mat.py │ ├── gen_splice.py │ ├── make_blstm_proto.py │ ├── make_cnn2d_proto.py │ ├── make_cnn_proto.py │ ├── make_lstm_proto.py │ └── make_nnet_proto.py │ ├── parallel │ └── limit_num_gpus.sh │ ├── parse_options.sh │ ├── pbs.pl │ ├── perturb_data_dir_speed.sh │ ├── pinyin_map.pl │ ├── prepare_lang.sh │ ├── prepare_online_nnet_dist_build.sh │ ├── queue.pl │ ├── recover_scores.py │ ├── remove_data_links.sh │ ├── remove_oovs.pl │ ├── reverse_arpa.py │ ├── rnnlm_compute_scores.sh │ ├── run.pl │ ├── s2eps.pl │ ├── sample_validset_spk2utt.py │ ├── scoring │ ├── wer_ops_details.pl │ ├── wer_per_spk_details.pl │ ├── wer_per_utt_details.pl │ └── wer_report.pl │ ├── segmentation.pl │ ├── show_lattice.sh │ ├── show_max_len_per_spk.py │ ├── shuffle_list.pl │ ├── slurm.pl │ ├── sort_data_dir_by_len.py │ ├── spk2utt_to_utt2spk.pl │ ├── split_data.sh │ ├── split_scp.pl │ ├── ssh.pl │ ├── subset_data_dir.sh │ ├── subset_data_dir_per_gender.sh │ ├── subset_data_dir_per_spk_len.sh │ ├── subset_data_dir_tr_cv.sh │ ├── subset_scp.pl │ ├── summarize_logs.pl │ ├── summarize_warnings.pl │ ├── sym2int.pl │ ├── utt2spk_to_spk2utt.pl │ ├── validate_data_dir.sh │ ├── validate_dict_dir.pl │ ├── validate_lang.pl │ └── write_kwslist.pl ├── src ├── ivectorbin │ └── select-voiced-ali.cc └── nnet3bin │ └── nnet3-copy-cvector-egs.cc └── tools └── det_score ├── DETware_v2.1 ├── Compute_DET.m ├── Compute_DET_bak.m ├── DET_usage.m ├── Eval_Spkr_Det.m ├── Min_DCF.m ├── Min_DCF_bak.m ├── Plot_DET.m ├── Set_DCF.m ├── Set_DET_limits.m ├── ppndf.m ├── readme.txt └── thick.m ├── Get_DCF_Plot_DET.m ├── get_eer.m └── score_fusion_linear.m /.DS_Store: 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