Detail publikace

Fast Discriminative Speaker Verification in the I-Vector Space

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

Originální název

Fast Discriminative Speaker Verification in the I-Vector Space

Anglický název

Fast Discriminative Speaker Verification in the I-Vector Space

Jazyk

en

Originální abstrakt

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.

Anglický abstrakt

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.

Dokumenty

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",
  annote="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.",
  address="IEEE Signal Processing Society",
  booktitle="Proceedings of the 2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011",
  chapter="76385",
  edition="NEUVEDEN",
  howpublished="print",
  institution="IEEE Signal Processing Society",
  year="2011",
  month="may",
  pages="4852--4855",
  publisher="IEEE Signal Processing Society",
  type="conference paper"
}