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Description
  • In this work, we experimented with the use of deep neural networks (DNNs) to automatic language identification (LID). Guided by the success of DNNs for acoustic modelling, we explored their capability to learn discriminative language information from speech signals.
  • In this work, we experimented with the use of deep neural networks (DNNs) to automatic language identification (LID). Guided by the success of DNNs for acoustic modelling, we explored their capability to learn discriminative language information from speech signals. (en)
Title
  • Automatic Language Identification Using Deep Neural Networks
  • Automatic Language Identification Using Deep Neural Networks (en)
skos:prefLabel
  • Automatic Language Identification Using Deep Neural Networks
  • Automatic Language Identification Using Deep Neural Networks (en)
skos:notation
  • RIV/00216305:26230/14:PU111953!RIV15-MSM-26230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(ED1.1.00/02.0070), S
http://linked.open...vai/riv/dodaniDat
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  • 4604
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  • RIV/00216305:26230/14:PU111953
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  • Automatic Language Identification, ivectors, DNNs (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [374A10AEB223]
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  • Florencie
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  • Florencie
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  • Proceeding of ICASSP 2014
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  • Plchot, Oldřich
  • Martínez González, David
  • Gonzalez-Dominguez, Javier
  • Gonzalez-Rodriguez, Joaquin
  • Lopez-Moreno, Ignacio
  • Moreno, Pedro
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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
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  • 26230
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