Publication detail

Gender Independent Discriminative Speaker Recognition in I-Vector Space

CUMANI, S. GLEMBEK, O. BRUMMER, N. DE VILLIERS, E. LAFACE, P.

Original Title

Gender Independent Discriminative Speaker Recognition in I-Vector Space

English Title

Gender Independent Discriminative Speaker Recognition in I-Vector Space

Type

conference paper

Language

en

Original Abstract

This paper describes speaker recognition systems that are trained with gender dependent features and tested with known gender trails.

English abstract

This paper describes speaker recognition systems that are trained with gender dependent features and tested with known gender trails.

Keywords

speaker recognition, gender recognition, PLDA models, GI Pairwise SVM

RIV year

2012

Released

25.03.2012

Publisher

IEEE Signal Processing Society

Location

Kyoto

ISBN

978-1-4673-0044-5

Book

Proc. International Conference on Acoustics, Speech, and Signal P

Edition

NEUVEDEN

Edition number

NEUVEDEN

Pages from

4361

Pages to

4364

Pages count

4

URL

BibTex


@inproceedings{BUT91484,
  author="Sandro {Cumani} and Ondřej {Glembek} and Niko {Brummer} and Edward {de Villiers} and Pietro {Laface}",
  title="Gender Independent Discriminative Speaker Recognition in I-Vector Space",
  annote="This paper describes speaker recognition systems that are trained with gender
dependent features and tested with known gender trails.",
  address="IEEE Signal Processing Society",
  booktitle="Proc. International Conference on Acoustics, Speech, and Signal P",
  chapter="91484",
  doi="10.1109/ICASSP.2012.6288885",
  edition="NEUVEDEN",
  howpublished="print",
  institution="IEEE Signal Processing Society",
  year="2012",
  month="march",
  pages="4361--4364",
  publisher="IEEE Signal Processing Society",
  type="conference paper"
}