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Description
  • In the paper recent methods used in the task of speaker recognition are presented. At first, the extraction of so called i-vectors from GMM based supervectors is discussed. These i-vectors are of low dimension and lie in a subspace denoted as Total Variability Space (TVS). The focus of the paper is put on Probabilistic Linear Discriminant Analysis (PLDA), which is used as a generative model in the TVS. The influence of development data is analyzed utilizing distinct speech corpora. It is shown that it is preferable to cluster available speech corpora to classes, train one PLDA model for each class and fuse the results at the end. Experiments are presented on NIST Speaker Recognition Evaluation (SRE) 2008 and NIST SRE 2010.
  • In the paper recent methods used in the task of speaker recognition are presented. At first, the extraction of so called i-vectors from GMM based supervectors is discussed. These i-vectors are of low dimension and lie in a subspace denoted as Total Variability Space (TVS). The focus of the paper is put on Probabilistic Linear Discriminant Analysis (PLDA), which is used as a generative model in the TVS. The influence of development data is analyzed utilizing distinct speech corpora. It is shown that it is preferable to cluster available speech corpora to classes, train one PLDA model for each class and fuse the results at the end. Experiments are presented on NIST Speaker Recognition Evaluation (SRE) 2008 and NIST SRE 2010. (en)
Title
  • Analysis of the Influence of Speech Corpora in the PLDA Verification in the Task of Speaker Recognition
  • Analysis of the Influence of Speech Corpora in the PLDA Verification in the Task of Speaker Recognition (en)
skos:prefLabel
  • Analysis of the Influence of Speech Corpora in the PLDA Verification in the Task of Speaker Recognition
  • Analysis of the Influence of Speech Corpora in the PLDA Verification in the Task of Speaker Recognition (en)
skos:notation
  • RIV/49777513:23520/12:43916020!RIV13-MSM-23520___
http://linked.open...avai/predkladatel
http://linked.open...avai/riv/aktivita
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  • S
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  • 122275
http://linked.open...ai/riv/idVysledku
  • RIV/49777513:23520/12:43916020
http://linked.open...riv/jazykVysledku
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  • i-vector; FA; supervector; fusion; latent space; PLDA (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • DE - Spolková republika Německo
http://linked.open...ontrolniKodProRIV
  • [36CD044ADBF8]
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  • Lecture Notes in Computer Science
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http://linked.open...v/svazekPeriodika
  • 7499
http://linked.open...iv/tvurceVysledku
  • Machlica, Lukáš
  • Zajíc, Zbyněk
issn
  • 0302-9743
number of pages
http://bibframe.org/vocab/doi
  • 10.1007/978-3-642-32790-2_56
http://localhost/t...ganizacniJednotka
  • 23520
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