Faculty of Information Technology, BUT

Publication Details

Discriminatively Trained Probabilistic Linear Discriminant Analysis for Speaker Verification

BURGET Lukáš, PLCHOT Oldřich, CUMANI Sandro, GLEMBEK Ondřej, MATĚJKA Pavel and BRÜMMER Niko. Discriminatively Trained Probabilistic Linear Discriminant Analysis for Speaker Verification. In: Proceedings of the 2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011. Praha: IEEE Signal Processing Society, 2011, pp. 4832-4835. ISBN 978-1-4577-0537-3.
Czech title
Diskriminativně trénovaná pravděpodobnostní lineární diskriminační analýza pro ověřování mluvčího
Type
conference paper
Language
english
Authors
Burget Lukáš, doc. Ing., Ph.D. (DCGM FIT BUT)
Plchot Oldřich, Ing., Ph.D. (DCGM FIT BUT)
Cumani Sandro (POLITO)
Glembek Ondřej, Ing., Ph.D. (DCGM FIT BUT)
Matějka Pavel, Ing., Ph.D. (DCGM FIT BUT)
Brümmer Niko (Agnitio)
URL
Keywords
Speaker verification, Discriminative training, Probabilistic Linear Discriminant Analysis
Abstract
This paper is on Discriminatively Trained Probabilistic Linear Discriminant Analysis (PLDA) for Speaker Verification.
Annotation
Recently, i-vector extraction and Probabilistic Linear Discriminant Analysis (PLDA) have proven to provide state-of-the-art speaker verification performance. In this paper, the speaker verification score for a pair of i-vectors representing a trial is computed with a functional form derived from the successful PLDA generative model. In our case, however, parameters of this function are estimated based on a discriminative training criterion. We propose to use the objective function to directly address the task in speaker verification: discrimination between same-speaker and different-speaker trials. Compared with a baseline which uses a generatively trained PLDA model, discriminative training provides up to 40% relative improvement on the NIST SRE 2010 evaluation task.
Published
2011
Pages
4832-4835
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, Praha, CZ
ISBN
978-1-4577-0537-3
Publisher
IEEE Signal Processing Society
Place
Praha, CZ
BibTeX
@INPROCEEDINGS{FITPUB9653,
   author = "Luk\'{a}\v{s} Burget and Old\v{r}ich Plchot and Sandro Cumani and Ond\v{r}ej Glembek and Pavel Mat\v{e}jka and Niko Br\"{u}mmer",
   title = "Discriminatively Trained Probabilistic Linear Discriminant Analysis for Speaker Verification",
   pages = "4832--4835",
   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 = "https://www.fit.vut.cz/research/publication/9653"
}
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