About: Text-dependent Speaker Recognition in Low-cost Systems     Goto   Sponge   NotDistinct   Permalink

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  • Although the text-dependent recognition is not as universal as the text-independent recognition it has still many applications. Moreover the accuracy of the systems based on the text-dependent recognition is still higher than in case of the text-independent systems. This work proposes new techniques in the field of text-dependent speaker recognition so that it is possible to implement these systems in low-cost devices. It introduces a feature vector called voice imprint, which has low memory requirements, and a classifier based on fractional distances which is very fast and accurate in comparison with another classifiers. It is shown that using the fractional distances along with the voice imprint, it is possible to reach successful detection rate equal to 96.94 % and 82.29 % in case of microphone mismatch. During verification, system reached equal error rate 3.93 % and 10.43 % when assuming microphone mismatch. System was tested using database which consists of 48 speakers (three 3 s training samples
  • Although the text-dependent recognition is not as universal as the text-independent recognition it has still many applications. Moreover the accuracy of the systems based on the text-dependent recognition is still higher than in case of the text-independent systems. This work proposes new techniques in the field of text-dependent speaker recognition so that it is possible to implement these systems in low-cost devices. It introduces a feature vector called voice imprint, which has low memory requirements, and a classifier based on fractional distances which is very fast and accurate in comparison with another classifiers. It is shown that using the fractional distances along with the voice imprint, it is possible to reach successful detection rate equal to 96.94 % and 82.29 % in case of microphone mismatch. During verification, system reached equal error rate 3.93 % and 10.43 % when assuming microphone mismatch. System was tested using database which consists of 48 speakers (three 3 s training samples (en)
Title
  • Text-dependent Speaker Recognition in Low-cost Systems
  • Text-dependent Speaker Recognition in Low-cost Systems (en)
skos:prefLabel
  • Text-dependent Speaker Recognition in Low-cost Systems
  • Text-dependent Speaker Recognition in Low-cost Systems (en)
skos:notation
  • RIV/00216305:26220/11:PU94560!RIV12-MSM-26220___
http://linked.open...avai/predkladatel
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(ED2.1.00/03.0072), P(ME10123), S, Z(MSM0021630513)
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
  • 235030
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26220/11:PU94560
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • text-dependent speaker recognition, voice imprint, fractional distances, biometric dispersion matcher (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [955C7FB0422D]
http://linked.open...v/mistoKonaniAkce
  • Dolní Morava
http://linked.open...i/riv/mistoVydani
  • Neuveden
http://linked.open...i/riv/nazevZdroje
  • 6th International Conference on Teleinformatics
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
  • Smékal, Zdeněk
  • Faúndez Zanuy, Marcos
  • Fabregas, Joan
  • Mekyska, Jiří
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
  • Neuveden
https://schema.org/isbn
  • 978-80-214-4231-3
http://localhost/t...ganizacniJednotka
  • 26220
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