Detail publikace

Full-covariance UBM and Heavy-tailed PLDA in I-Vector Speaker Verification

MATĚJKA, P. GLEMBEK, O. CASTALDO, F. ALAM, J. PLCHOT, O. KENNY, P. BURGET, L. ČERNOCKÝ, J.

Originální název

Full-covariance UBM and Heavy-tailed PLDA in I-Vector Speaker Verification

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

The work we presented aims at the best performance of the single stand alone system. We have presented full-covariance UBM and i-vector extraction with different kind of modeling. Our analysis shows that for the best performance it is necessary to have fullcovariance i-vector without any approximation.

Klíčová slova

GMM, speaker recognition, PLDA, heavytailed PLDA, full-covariance UBM, i-vectors

Autoři

MATĚJKA, P.; GLEMBEK, O.; CASTALDO, F.; ALAM, J.; PLCHOT, O.; KENNY, P.; BURGET, L.; ČERNOCKÝ, J.

Rok RIV

2011

Vydáno

22. 5. 2011

Nakladatel

IEEE Signal Processing Society

Místo

Praha

ISBN

978-1-4577-0537-3

Kniha

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

Strany od

4828

Strany do

4831

Strany počet

4

URL

https://www.fit.vut.cz/research/publication/9657/

BibTex

@inproceedings{BUT76387,
  author="Pavel {Matějka} and Ondřej {Glembek} and Fabio {Castaldo} and Jahangir {Alam} and Oldřich {Plchot} and Patrick {Kenny} and Lukáš {Burget} and Jan {Černocký}",
  title="Full-covariance UBM and Heavy-tailed PLDA in I-Vector Speaker Verification",
  booktitle="Proceedings of the 2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011",
  year="2011",
  pages="4828--4831",
  publisher="IEEE Signal Processing Society",
  address="Praha",
  doi="10.1109/ICASSP.2011.5947436",
  isbn="978-1-4577-0537-3",
  url="https://www.fit.vut.cz/research/publication/9657/"
}