Detail publikace

Speaker vectors from Subspace Gaussian Mixture Model as complementary features for Language Identification

PLCHOT, O. KARAFIÁT, M. BRUMMER, J. GLEMBEK, O. MATĚJKA, P. DE VILLIERS, E. ČERNOCKÝ, J.

Originální název

Speaker vectors from Subspace Gaussian Mixture Model as complementary features for Language Identification

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

In this paper we have presented new features for language identification, based on speaker adaptation vectors from sub-space Gaussian Mixture Models.

Klíčová slova

speaker recognition, Gaussian Mixture Model, speaker vectors, language identification

Autoři

PLCHOT, O.; KARAFIÁT, M.; BRUMMER, J.; GLEMBEK, O.; MATĚJKA, P.; DE VILLIERS, E.; ČERNOCKÝ, J.

Rok RIV

2012

Vydáno

25. 6. 2012

Nakladatel

International Speech Communication Association

Místo

Singapur

ISBN

978-981-07-3093-2

Kniha

Proceedings of Odyssey 2012, The Speaker and Language Recognition Workshop

Strany od

330

Strany do

333

Strany počet

4

URL

http://www.fit.vutbr.cz/research/groups/speech/publi/2012/plchot_odyssey2012_330-333-41.pdf

BibTex

@inproceedings{BUT96995,
  author="Oldřich {Plchot} and Martin {Karafiát} and Johan Nikolaas Langenhoven {Brummer} and Ondřej {Glembek} and Pavel {Matějka} and Edward {de Villiers} and Jan {Černocký}",
  title="Speaker vectors from Subspace Gaussian Mixture Model as complementary features for Language Identification",
  booktitle="Proceedings of Odyssey 2012, The Speaker and Language Recognition Workshop",
  year="2012",
  pages="330--333",
  publisher="International Speech Communication Association",
  address="Singapur",
  isbn="978-981-07-3093-2",
  url="http://www.fit.vutbr.cz/research/groups/speech/publi/2012/plchot_odyssey2012_330-333-41.pdf"
}