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Description
  • We have introduced a novel approach for language recognition. Three classifiers (linear generative model, SVM and logistic regression) have been tested in the iVector space, and all outperform the state-of-the-art JFA system. Very simple and fast classifier based on linear generative model provides excellent performance over all conditions. The advantage of this classifier is also its scalability: addition of a new language only requires estimating the mean over the corresponding iVectors. Most of the computational load is in the iVector generation. Hence, as a next step, we will try to obtain iVectors from the utterances and the corresponding sufficient statistics in a more direct way.
  • We have introduced a novel approach for language recognition. Three classifiers (linear generative model, SVM and logistic regression) have been tested in the iVector space, and all outperform the state-of-the-art JFA system. Very simple and fast classifier based on linear generative model provides excellent performance over all conditions. The advantage of this classifier is also its scalability: addition of a new language only requires estimating the mean over the corresponding iVectors. Most of the computational load is in the iVector generation. Hence, as a next step, we will try to obtain iVectors from the utterances and the corresponding sufficient statistics in a more direct way. (en)
Title
  • Language Recognition in iVectors Space
  • Language Recognition in iVectors Space (en)
skos:prefLabel
  • Language Recognition in iVectors Space
  • Language Recognition in iVectors Space (en)
skos:notation
  • RIV/00216305:26230/11:PU96148!RIV12-MSM-26230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • 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
  • 208943
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26230/11:PU96148
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Acoustic Language Recognition, iVectors, Joint Factor Analysis (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [71889611B429]
http://linked.open...v/mistoKonaniAkce
  • Florence Italy
http://linked.open...i/riv/mistoVydani
  • Florence
http://linked.open...i/riv/nazevZdroje
  • Proceedings of Interspeech 2011
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Burget, Lukáš
  • Glembek, Ondřej
  • Matějka, Pavel
  • Plchot, Oldřich
  • Martínez González, David
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
  • International Speech Communication Association
https://schema.org/isbn
  • 978-1-61839-270-1
http://localhost/t...ganizacniJednotka
  • 26230
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