Detail publikace

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

Originální název

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

Anglický název

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

Jazyk

en

Originální abstrakt

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

Anglický abstrakt

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

BibTex


@inproceedings{BUT96995,
  author="Oldřich {Plchot} and Martin {Karafiát} and Niko {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",
  annote="In this paper we have presented new features for language identification, based
on speaker adaptation vectors from sub-space Gaussian Mixture Models.",
  address="International Speech Communication Association",
  booktitle="Proceedings of Odyssey 2012, The Speaker and Language Recognition Workshop",
  chapter="96995",
  edition="NEUVEDEN",
  howpublished="print",
  institution="International Speech Communication Association",
  year="2012",
  month="june",
  pages="330--333",
  publisher="International Speech Communication Association",
  type="conference paper"
}