Publication detail

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.

Original Title

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

Type

conference paper

Language

English

Original Abstract

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

Keywords

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

Authors

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

RIV year

2012

Released

25. 6. 2012

Publisher

International Speech Communication Association

Location

Singapur

ISBN

978-981-07-3093-2

Book

Proceedings of Odyssey 2012, The Speaker and Language Recognition Workshop

Pages from

330

Pages to

333

Pages count

4

URL

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"
}