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Description
  • Phonotactic approach, phone recognition to be followed by language modeling, is one of the most popular approaches to language identification (LID). In this work, we explore how language identification accuracy of a phone decoder can be enhanced by varying acoustic resolution of the phone decoder, and subsequently how multiresolution versions of the same decoder can be integrated to improve the LID accuracy. We use mutual information to select the optimum set of phones for a specific acoustic resolution. Further, we propose strategies for building multilingual systems suitable for LID applications, and subsequently fine tune these systems to enhance the overall accuracy.
  • Phonotactic approach, phone recognition to be followed by language modeling, is one of the most popular approaches to language identification (LID). In this work, we explore how language identification accuracy of a phone decoder can be enhanced by varying acoustic resolution of the phone decoder, and subsequently how multiresolution versions of the same decoder can be integrated to improve the LID accuracy. We use mutual information to select the optimum set of phones for a specific acoustic resolution. Further, we propose strategies for building multilingual systems suitable for LID applications, and subsequently fine tune these systems to enhance the overall accuracy. (en)
Title
  • Tuning phone decoders for language identification
  • Tuning phone decoders for language identification (en)
skos:prefLabel
  • Tuning phone decoders for language identification
  • Tuning phone decoders for language identification (en)
skos:notation
  • RIV/00216305:26230/10:PU89594!RIV11-GA0-26230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA102/08/0707), Z(MSM0021630528)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 293754
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26230/10:PU89594
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Phonotactic language identification, hidden Markov models, neural networks, mutual information, multilingual (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [C8B8ABBB4B08]
http://linked.open...v/mistoKonaniAkce
  • Dallas
http://linked.open...i/riv/mistoVydani
  • Dallas
http://linked.open...i/riv/nazevZdroje
  • Proc. International Conference on Acoustics, Speech, and Signal Processing 2010
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Burget, Lukáš
  • Černocký, Jan
  • Matějka, Pavel
  • Santhosh Kumar, Chellappan Pillai
  • Li, Haizhou
  • Tong, Rong
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • IEEE Signal Processing Society
https://schema.org/isbn
  • 978-1-4244-4296-6
http://localhost/t...ganizacniJednotka
  • 26230
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