Detail publikace

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

Originální název

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

Anglický název

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

Jazyk

en

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.

Anglický 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.

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",
  annote="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.",
  address="IEEE Signal Processing Society",
  booktitle="Proceedings of the 2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011",
  chapter="76387",
  doi="10.1109/ICASSP.2011.5947436",
  edition="NEUVEDEN",
  howpublished="print",
  institution="IEEE Signal Processing Society",
  year="2011",
  month="may",
  pages="4828--4831",
  publisher="IEEE Signal Processing Society",
  type="conference paper"
}