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
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.
Dokumenty
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"
}