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Large Corpus of Czech Parliament Plenary Hearings

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F20%3A10424461" target="_blank" >RIV/00216208:11320/20:10424461 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.aclweb.org/anthology/2020.lrec-1.781/" target="_blank" >https://www.aclweb.org/anthology/2020.lrec-1.781/</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Large Corpus of Czech Parliament Plenary Hearings

  • Original language description

    We present a large corpus of Czech parliament plenary sessions. The corpus consists of approximately 1200 hours of speech data and corresponding text transcriptions. The whole corpus has been segmented to short audio segments making it suitable for both training and evaluation of automatic speech recognition (ASR) systems. The source language of the corpus is Czech, which makes it a valuable resource for future research as only a few public datasets are available in the Czech language. We complement the data release with experiments of two baseline ASR systems trained on the presented data: the more traditional approach implemented in the Kaldi ASRtoolkit which combines hidden Markov models and deep neural networks (NN) and a modern ASR architecture implemented in Jaspertoolkit which uses deep NNs in an end-to-end fashion.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    <a href="/en/project/GX19-26934X" target="_blank" >GX19-26934X: Neural Representations in Multi-modal and Multi-lingual Modeling</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2020

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of the 12th International Conference on Language Resources and Evaluation (LREC 2020)

  • ISBN

    979-10-95546-34-4

  • ISSN

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    6363-6367

  • Publisher name

    European Language Resources Association

  • Place of publication

    Marseille, France

  • Event location

    Marseille, France

  • Event date

    May 11, 2020

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article