Publication detail

Fast Discriminative Speaker Verification in the I-Vector Space

CUMANI, S. BRÜMMER, N. BURGET, L. LAFACE, P.

Original Title

Fast Discriminative Speaker Verification in the I-Vector Space

Type

article in a collection out of WoS and Scopus

Language

English

Original Abstract

A fast discriminative training approach for speaker verification based on i-vectors has been presented. On NIST telephone evaluation data, the resulting models perform better, without the need for normalization techniques, than the generative ones, even compared with heavy-tailed models.

Keywords

Discriminative Training,Two-covariance Kernel, Support Vector Machines, i-vectors

Authors

CUMANI, S.; BRÜMMER, N.; BURGET, L.; LAFACE, P.

RIV year

2011

Released

22. 5. 2011

Publisher

IEEE Signal Processing Society

Location

Praha

ISBN

978-1-4577-0537-3

Book

Proceedings of the 2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011

Pages from

4852

Pages to

4855

Pages count

4

URL

http://www.fit.vutbr.cz/research/groups/speech/publi/2011/cumani_icassp2011_4852.pdf

BibTex

@inproceedings{BUT76385,
  author="Sandro {Cumani} and Niko {Brümmer} and Lukáš {Burget} and Pietro {Laface}",
  title="Fast Discriminative Speaker Verification in the I-Vector Space",
  booktitle="Proceedings of the 2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011",
  year="2011",
  pages="4852--4855",
  publisher="IEEE Signal Processing Society",
  address="Praha",
  isbn="978-1-4577-0537-3",
  url="http://www.fit.vutbr.cz/research/groups/speech/publi/2011/cumani_icassp2011_4852.pdf"
}