Detail publikace

Discriminatively Trained i-vector Extractor for Speaker Verification

GLEMBEK, O. BURGET, L. BRÜMMER, N. PLCHOT, O. MATĚJKA, P.

Originální název

Discriminatively Trained i-vector Extractor for Speaker Verification

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

We have proposed a technique for discriminative training of the i-vector extractor parameters using cross-entropy as the error function. We have applied the technique both to the original i-vector extractor and to its simplified version. In both cases, the discriminative training was effective, giving higher relative improvement in the simplified case.

Klíčová slova

speaker verification, i-vectors, PLDA, discriminative training

Autoři

GLEMBEK, O.; BURGET, L.; BRÜMMER, N.; PLCHOT, O.; MATĚJKA, P.

Rok RIV

2011

Vydáno

27. 8. 2011

Nakladatel

International Speech Communication Association

Místo

Florence

ISBN

978-1-61839-270-1

Kniha

Proceedings of Interspeech 2011

ISSN

1990-9772

Periodikum

Proceedings of Interspeech

Ročník

2011

Číslo

8

Stát

Francouzská republika

Strany od

137

Strany do

140

Strany počet

4

URL

http://www.fit.vutbr.cz/research/groups/speech/publi/2011/glembek_interspeech2011_386.pdf

BibTex

@inproceedings{BUT76447,
  author="Ondřej {Glembek} and Lukáš {Burget} and Niko {Brümmer} and Oldřich {Plchot} and Pavel {Matějka}",
  title="Discriminatively Trained i-vector Extractor for Speaker Verification",
  booktitle="Proceedings of Interspeech 2011",
  year="2011",
  journal="Proceedings of Interspeech",
  volume="2011",
  number="8",
  pages="137--140",
  publisher="International Speech Communication Association",
  address="Florence",
  isbn="978-1-61839-270-1",
  issn="1990-9772",
  url="http://www.fit.vutbr.cz/research/groups/speech/publi/2011/glembek_interspeech2011_386.pdf"
}