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Parliament Archives Used for Automatic Training of Multi-lingual Automatic Speech Recognition Systems

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24220%2F17%3A00004815" target="_blank" >RIV/46747885:24220/17:00004815 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1007/978-3-319-64206-2_20" target="_blank" >http://dx.doi.org/10.1007/978-3-319-64206-2_20</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-319-64206-2_20" target="_blank" >10.1007/978-3-319-64206-2_20</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Parliament Archives Used for Automatic Training of Multi-lingual Automatic Speech Recognition Systems

  • Original language description

    In the paper we present a fully automated process capable of creating speech databases needed for training acoustic models for speech recognition systems. We show that archives of national parliaments are perfect sources of speech and text data suited for a lightly supervised training scheme, which does not require human intervention. We describe the process and its procedures in details and demonstrate its usage on three Slavic languages (Polish, Russian and Bulgarian). Practical evaluation is done on a broadcast news task and yields better results than those obtained on some established speech databases.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20204 - Robotics and automatic control

Result continuities

  • Project

    <a href="/en/project/TA04010199" target="_blank" >TA04010199: MULTILINMEDIA - Multilingual Multimedia Monitoring and Analyzing Platform</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2017

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  • ISBN

    9783319642055

  • ISSN

    0302-9743

  • e-ISSN

  • Number of pages

    9

  • Pages from-to

    174-182

  • Publisher name

    Springer Verlag

  • Place of publication

    Německo

  • Event location

    Praha, Česká Republika

  • Event date

    Jan 1, 2017

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article