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Adaptation of Multilingual Stacked Bottle-neck Neural Network Structure for New Language

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F14%3APU111949" target="_blank" >RIV/00216305:26230/14:PU111949 - isvavai.cz</a>

  • Result on the web

    <a href="http://www.fit.vutbr.cz/research/groups/speech/publi/2014/grezl_icassp2014_p7704_adapation.pdf" target="_blank" >http://www.fit.vutbr.cz/research/groups/speech/publi/2014/grezl_icassp2014_p7704_adapation.pdf</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/ICASSP.2014.6855089" target="_blank" >10.1109/ICASSP.2014.6855089</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Adaptation of Multilingual Stacked Bottle-neck Neural Network Structure for New Language

  • Original language description

    In this paper a multilingual training of Stacked Bottle- Neck neural network structure for feature extraction is addressed. While for languages with plentiful resources, the optimal approach is to train the BN-NN on the target data, limited resources call for re-using data from other languages.

  • 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

    2014

  • 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 ICASSP 2014

  • ISBN

    978-1-4799-2892-7

  • ISSN

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    7704-7708

  • Publisher name

    IEEE Signal Processing Society

  • Place of publication

    Florencie

  • Event location

    Florencie

  • Event date

    May 4, 2014

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000343655307139