Publication result detail

Gender Independent Discriminative Speaker Recognition in I-Vector Space

CUMANI, S.; GLEMBEK, O.; BRUMMER, J.; 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

Paper in proceedings outside WoS and Scopus

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

Key words in English

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

Authors

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

RIV year

2013

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

Pages from

4361

Pages to

4364

Pages count

4

URL

BibTex

@inproceedings{BUT91484,
  author="Sandro {Cumani} and Ondřej {Glembek} and Johan Nikolaas Langenhoven {Brummer} and Edward {de Villiers} and Pietro {Laface}",
  title="Gender Independent Discriminative Speaker Recognition in I-Vector Space",
  booktitle="Proc. International Conference on Acoustics, Speech, and Signal P",
  year="2012",
  pages="4361--4364",
  publisher="IEEE Signal Processing Society",
  address="Kyoto",
  doi="10.1109/ICASSP.2012.6288885",
  isbn="978-1-4673-0044-5",
  url="http://www.fit.vutbr.cz/research/groups/speech/publi/2012/cumani_icassp2012_0004361.pdf"
}