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Vystadial 2013 – scripts

Please use the following text to cite this item or export to a predefined format:
Korvas, Matěj; Plátek, Ondřej; Dušek, Ondřej; Žilka, Lukáš and Jurčíček, Filip, 2014, Vystadial 2013 – scripts, LINDAT/CLARIAH-CZ digital library at the Institute of Formal and Applied Linguistics (ÚFAL), http://hdl.handle.net/11858/00-097C-0000-0023-466F-C.
Date issued
2014-02-21
Language(s)
Description
Vystadial 2013 is a dataset of telephone conversations in English and Czech, developed for training acoustic models for automatic speech recognition in spoken dialogue systems. It ships in three parts: Czech data, English data, and scripts. The data comprise over 41 hours of speech in English and over 15 hours in Czech, plus orthographic transcriptions. The scripts implement data pre-processing and building acoustic models using the HTK and Kaldi toolkits. This is the scripts part of the dataset.
Acknowledgement
This item isPublicly Available
and licensed under:

Files in this item

Name
scripts.tgz
Size
95.64 MB
Format
application/x-gzip
Description
Vystadial 2013 scripts and models, tgz archive
MD5
1697afb04360e9ac2a6c4a5a55c7f63f
Preview
  File Preview
  • scripts
    • README.rst987 B
    • kaldi
      • s5
        • cmd.sh701 B
        • utils0 B
        • steps0 B
        • conf
          • train_conf.sh1 kB
          • decode.config45 B
          • mfcc.conf279 B
        • run.sh7 kB
        • local
          • create_sample.sh429 B
          • results.py5 kB
          • vystadial_create_G.sh2 kB
          • score.sh1 kB
          • run_decode-lattice-faster.sh4 kB
          • backup.sh1 kB
          • run_cs_transcriptions.sh736 B
          • vystadial_create_LMs_dict.sh4 kB
          • phonetic_transcription_cs.pl7 kB
          • save_check_conf.sh2 kB
          • prepare_cmu_dict.sh2 kB
          • vystadial_data_split.sh3 kB
        • path.sh429 B
      • model_voip_cs
        • tri2b_bmmi.tree166 kB
        • tri2b_bmmi.mat18 kB
        • HCLG_tri2b_bmmi.fst24 MB
        • tri2b.mat18 kB
        • tri2b.tree166 kB
        • phones.txt1 kB
        • tri2b_bmmi.mdl14 MB
        • tri2b.mdl6 MB
        • words.txt205 kB
        • mfcc.conf290 B
        • tri2a.mdl6 MB
        • silence.csl10 B
        • tri2a.tree163 kB
      • README.rst5 kB
      • LICENSE-APACHE-2.0.TXT11 kB
      • model_voip_en
        • tri2b_bmmi.tree133 kB
        • tri2b_bmmi.mat18 kB
        • HCLG_tri2b_bmmi.fst1 MB
        • tri2b.mat18 kB
        • tri2b.tree133 kB
        • phones.txt1 kB
        • tri2b_bmmi.mdl14 MB
        • tri2b.mdl6 MB
        • words.txt9 kB
        • mfcc.conf290 B
        • tri2a.mdl6 MB
        • silence.csl10 B
        • tri2a.tree147 kB
    • htk
      • data_voip_en
        • dev0 B
        • train0 B
        • test0 B
      • README.rst6 kB
      • LICENSE-APACHE-2.0.TXT11 kB
      • model_voip_cs
        • export_models
          • config265 B
          • macros597 B
          • fulllist718 kB
          • julius_tiedlist4 MB
          • hmmdefs56 MB
          • monophones1136 B
          • julius_hmmdefs17 MB
          • tiedlist1 MB
          • trees141 kB
        • config
          • monophones1136 B
          • monophones0132 B
          • macros36 B
          • tree_ques.hed6 kB
          • proto1 kB
      • data_voip_cs
        • dev0 B
        • train0 B
        • test0 B
      • nohup_train_voip_cs.sh42 B
      • env_voip_cs.sh1 kB
      • common
        • template_tune_lm_test678 B
        • mix18.hed52 B
        • mktri_cross.led69 B
        • configwi50 B
        • mix8.hed51 B
        • mkphones0.led314 B
        • mix10.hed52 B
        • sil.hed236 B
        • csdict1 B
        • merge_sp_sil.led349 B
        • configcross50 B
        • configrawmit34 B
        • cmudict.0.7a3 MB
        • mix12.hed52 B
        • cmudict.ext6 kB
        • mix2.hed50 B
        • mktri.led63 B
        • mix14.hed52 B
        • mix4.hed50 B
        • csdict.ext0 B
        • mix1.hed26 B
        • mix16.hed52 B
        • mix6.hed51 B
        • configwav36 B
        • config265 B
        • cmudict.0.6d3 MB
      • nohup_train_voip_en.sh42 B
      • env_voip_en.sh1 kB
      • train_voip_cs.sh5 kB
      • train_voip_en.sh5 kB
      • model_voip_en
        • export_models
          • config265 B
          • macros597 B
          • fulllist798 kB
          • julius_tiedlist4 MB
          • hmmdefs33 MB
          • monophones1144 B
          • julius_hmmdefs9 MB
          • tiedlist1 MB
          • trees87 kB
        • config
          • monophones1144 B
          • monophones0140 B
          • macros36 B
          • tree_ques.hed9 kB
          • proto1 kB
      • bin
        • CreateMLF.py2 kB
        • OutputEvery.pl489 B
        • tune.sh886 B
        • FindReplace.pl391 B
        • eval_test.sh1 kB
        • train_tied.sh1 kB
        • AddSp.pl1000 B
        • prep_tied.sh1 kB
        • ProcessNums.pl1 kB
        • MakeClonedMono.pl634 B
        • FixCMUDict.pl2 kB
        • train_mono.sh1 kB
        • make_mlf_train.sh1 kB
        • prep_cs_dict.sh337 B
        • DuplicateLine.pl448 B
        • prep_param_train.sh1 kB
        • build_lm_cs.sh5 kB
        • DuplicateSilence.pl840 B
        • CreateWordList.py1 kB
        • flat_start.sh2 kB
        • prep_tri.sh1 kB
        • CreateFullList.pl1 kB
        • PhoneticTranscriptionCS.pl7 kB
        • RemovePrunedFiles.pl1 kB
        • train_iter.sh2 kB
        • PruneWithIndex.pl2 kB
        • align_mlf.sh1 kB
        • make_mlf_test.sh1010 B
        • MakeClusteredTri.pl1 kB
        • LatticeToDot.pl1 kB
        • train_mixup.sh3 kB
        • eval_test_no_lat.sh1 kB
        • CreateHMMDefs.pl752 B
        • WordsToDictionary.pl1 kB
        • eval_test_hd_no_lat.sh1 kB
        • build_lm_en.sh5 kB
        • realign.sh2 kB
        • train_tri.sh436 B
        • prep_cmu_dict.sh487 B
        • ConvertToMono.pl849 B
        • MergeDict.pl1 kB
        • export_models.sh1 kB
        • StripStress.pl479 B
        • prep_param_test.sh1 kB
        • WordListFromARPALM.py446 B