Conference paper

 
Matějka, P., Glembek, O., Castaldo, F., Alam, J., Plchot, O., Kenny, P., Burget, L., Černocký, J.: Full-covariance UBM and Heavy-tailed PLDA in I-Vector Speaker Verification, In: Proceedings of the 2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011, Praha, CZ, IEEESP, 2011, p. 4828-4831, ISBN 978-1-4577-0537-3
Publication language:english
Original title:Full-covariance UBM and Heavy-tailed PLDA in I-Vector Speaker Verification
Title (cs):Plné kovarianční matice a Heavy-tailed PLDA v ověřování mluvčího pomocí i-vektorů
Pages:4828-4831
Proceedings:Proceedings of the 2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011
Conference:International Conference on Acoustics, Speech and Signal Processing 2011
Place:Praha, CZ
Year:2011
ISBN:978-1-4577-0537-3
Publisher:IEEE Signal Processing Society
URL:http://www.fit.vutbr.cz/research/groups/speech/publi/2011/matejka_icassp2011_4828.pdf [PDF]
URL:http://www.fit.vutbr.cz/research/groups/speech/publi/2011/matejka_icassp2011_poster4828.pdf [PDF]
Keywords
GMM, speaker recognition, PLDA, heavytailed PLDA, full-covariance UBM, i-vectors
Annotation
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.
Abstract
In this paper, we describe recent progress in i-vector based speaker verification. The use of universal background models (UBM) with full-covariance matrices is suggested and thoroughly experimentally tested. The i-vectors are scored using a simple cosine distance and advanced techniques such as Probabilistic Linear Discriminant Analysis (PLDA) and heavy-tailed variant of PLDA (PLDA-HT). Finally, we investigate into dimensionality reduction of i-vectors before entering the PLDA-HT modeling. The results are very competitive: on NIST 2010 SRE task, the results of a single full-covariance LDA-PLDA-HT system approach those of complex fused system.
BibTeX:
@INPROCEEDINGS{
   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},
   pages = {4828--4831},
   booktitle = {Proceedings of the 2011 IEEE International Conference on
	Acoustics, Speech, and Signal Processing, ICASSP 2011},
   year = {2011},
   location = {Praha, CZ},
   publisher = {IEEE Signal Processing Society},
   ISBN = {978-1-4577-0537-3},
   language = {english},
   url = {http://www.fit.vutbr.cz/research/view_pub.php?id=9657}
}