Vystadial 2013 – scripts

Korvas, Matěj; Plátek, Ondřej; Dušek, Ondřej; Žilka, Lukáš; Jurčíček, Filip

Vystadial 2013 – scripts

LINDAT / CLARIAH-CZ

Autoři: Korvas, Matěj ; Plátek, Ondřej ; Dušek, Ondřej ; Žilka, Lukáš and Jurčíček, Filip

Identifikátor: http://hdl.handle.net/11858/00-097C-0000-0023-466F-C

URL projektu: https://ufal.mff.cuni.cz/grants/vystadial

Datum vydání: 2014-02-21

Typ: toolService

Jazyky: Czech , English

Popis: 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.

Nakladatel: Charles University, Faculty of Mathematics and Physics

Klíčová slova: ASR HTK Kaldi acoustic model

Kolekce: LINDAT / CLARIAH-CZ Data & Tools

Zobrazit celý záznam

Soubory tohoto záznamu

Licenční kategorie:

Publicly Available

Licence: Apache License 2.0

Název: scripts.tgz
Velikost: 95.64 MB
Formát: application/x-gzip
Popis: Vystadial 2013 scripts and models, tgz archive
MD5: 1697afb04360e9ac2a6c4a5a55c7f63f

Stáhnout soubor Náhled

Náhled souboru

scripts
- README.rst987 B
- kaldi
  - s5
    - cmd.sh701 B
    - utils0 B
    - steps0 B
    - run.sh7 kB
    - conf
      - train_conf.sh1 kB
      - decode.config45 B
      - mfcc.conf279 B
    - 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
      - save_check_conf.sh2 kB
      - phonetic_transcription_cs.pl7 kB
      - vystadial_data_split.sh3 kB
      - prepare_cmu_dict.sh2 kB
    - path.sh429 B
  - model_voip_cs
    - tri2b_bmmi.mat18 kB
    - tri2b_bmmi.tree166 kB
    - HCLG_tri2b_bmmi.fst24 MB
    - tri2b.mat18 kB
    - phones.txt1 kB
    - tri2b.tree166 kB
    - tri2b_bmmi.mdl14 MB
    - words.txt205 kB
    - tri2b.mdl6 MB
    - 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.mat18 kB
    - tri2b_bmmi.tree133 kB
    - HCLG_tri2b_bmmi.fst1 MB
    - tri2b.mat18 kB
    - phones.txt1 kB
    - tri2b.tree133 kB
    - tri2b_bmmi.mdl14 MB
    - words.txt9 kB
    - tri2b.mdl6 MB
    - 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
    - temp
    - config
      - monophones1136 B
      - monophones0132 B
      - macros36 B
      - tree_ques.hed6 kB
      - proto1 kB
    - log
    - train
    - test
  - nohup_train_voip_cs.sh42 B
  - data_voip_cs
    - dev0 B
    - test0 B
    - train0 B
  - env_voip_cs.sh1 kB
  - common
    - template_tune_lm_test678 B
    - mktri_cross.led69 B
    - mix18.hed52 B
    - mix8.hed51 B
    - configwi50 B
    - mkphones0.led314 B
    - mix10.hed52 B
    - sil.hed236 B
    - csdict1 B
    - merge_sp_sil.led349 B
    - configrawmit34 B
    - configcross50 B
    - cmudict.0.7a3 MB
    - mix12.hed52 B
    - mix2.hed50 B
    - cmudict.ext6 kB
    - 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
    - temp
    - config
      - monophones1144 B
      - monophones0140 B
      - macros36 B
      - tree_ques.hed9 kB
      - proto1 kB
    - log
    - train
    - test
  - bin
    - CreateMLF.py2 kB
    - OutputEvery.pl489 B
    - tune.sh886 B
    - FindReplace.pl391 B
    - eval_test.sh1 kB
    - train_tied.sh1 kB
    - prep_tied.sh1 kB
    - AddSp.pl1000 B
    - ProcessNums.pl1 kB
    - train_mono.sh1 kB
    - FixCMUDict.pl2 kB
    - MakeClonedMono.pl634 B
    - 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
    - flat_start.sh2 kB
    - CreateWordList.py1 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
    - MakeClusteredTri.pl1 kB
    - make_mlf_test.sh1010 B
    - 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
    - realign.sh2 kB
    - build_lm_en.sh5 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