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Semi-supervised DNN training with word selection for ASR

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F17%3APU126470" target="_blank" >RIV/00216305:26230/17:PU126470 - isvavai.cz</a>

  • Result on the web

    <a href="http://www.isca-speech.org/archive/Interspeech_2017/pdfs/1385.PDF" target="_blank" >http://www.isca-speech.org/archive/Interspeech_2017/pdfs/1385.PDF</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.21437/Interspeech.2017-1385" target="_blank" >10.21437/Interspeech.2017-1385</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Semi-supervised DNN training with word selection for ASR

  • Original language description

    The article is about semi-supervised DNN training with word selection for Automatic Speaker Recognition (ASR).

  • 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

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

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

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

    Proceedings of Interspeech 2017

  • ISBN

  • ISSN

    1990-9772

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    3687-3691

  • Publisher name

    International Speech Communication Association

  • Place of publication

    Stockholm

  • Event location

    Stockholm

  • Event date

    Aug 20, 2017

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000457505000766