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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.
  • 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. (en)
Title
  • Adaptation of Multilingual Stacked Bottle-neck Neural Network Structure for New Language
  • Adaptation of Multilingual Stacked Bottle-neck Neural Network Structure for New Language (en)
skos:prefLabel
  • Adaptation of Multilingual Stacked Bottle-neck Neural Network Structure for New Language
  • Adaptation of Multilingual Stacked Bottle-neck Neural Network Structure for New Language (en)
skos:notation
  • RIV/00216305:26230/14:PU111949!RIV15-MSM-26230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(ED1.1.00/02.0070), P(GPP202/12/P604), S
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
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  • 1575
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26230/14:PU111949
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • feature extraction, Bottle-neck features, neural network adaptation, multilingual neural networks, Stacked Bottle- Neck structure (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [75ACB1B993BC]
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  • Florencie
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  • Florencie
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  • Proceedings of ICASSP 2014
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  • Grézl, František
  • Karafiát, Martin
  • Veselý, Karel
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
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  • IEEE Signal Processing Society
https://schema.org/isbn
  • 978-1-4799-2892-7
http://localhost/t...ganizacniJednotka
  • 26230
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