Publication Details

Discriminatively Re-trained i-Vector Extractor For Speaker Recognition

NOVOTNÝ Ondřej, PLCHOT Oldřich, GLEMBEK Ondřej, BURGET Lukáš and MATĚJKA Pavel. Discriminatively Re-trained i-Vector Extractor For Speaker Recognition. In: Proceedings of 2019 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP). Brighton: IEEE Signal Processing Society, 2019, pp. 6031-6035. ISBN 978-1-5386-4658-8. Available from: https://ieeexplore.ieee.org/document/8682590
Czech title
Diskriminativně přetrénovaný extraktor i-vektorů pro rozpoznávání mluvčího
Type
conference paper
Language
english
Authors
Novotný Ondřej, Ing., Ph.D. (DCGM FIT BUT)
Plchot Oldřich, Ing., Ph.D. (DCGM FIT BUT)
Glembek Ondřej, Ing., Ph.D. (DCGM FIT BUT)
Burget Lukáš, doc. Ing., Ph.D. (DCGM FIT BUT)
Matějka Pavel, Ing., Ph.D. (DCGM FIT BUT)
URL
Keywords

i-vectors, i-vector extractor, speaker recogni-tion, speaker verification, discriminative training

Abstract

In this work we revisit discriminative training of the i-vector extractor component in the standard speaker verification (SV) system. The motivation of our research lies in the robustness and stability of this large generative model, which we want to preserve, and focus its power towards any intended SV task. We show that after generative initialization of the i-vector extractor, we can further refine it with discriminative training and obtain i-vectors that lead to better performance on various benchmarks representing different acoustic domains.

Published
2019
Pages
6031-6035
Proceedings
Proceedings of 2019 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP)
Conference
2019 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), Brighton, GB
ISBN
978-1-5386-4658-8
Publisher
IEEE Signal Processing Society
Place
Brighton, GB
DOI
10.1109/ICASSP.2019.8682590
UT WoS
000482554006052
EID Scopus
2-s2.0-85068986459
BibTeX 
@INPROCEEDINGS{FITPUB12093,
   author = "Ond\v{r}ej Novotn\'{y} and Old\v{r}ich Plchot and Ond\v{r}ej Glembek and Luk\'{a}\v{s} Burget and Pavel Mat\v{e}jka",
   title = "Discriminatively Re-trained i-Vector Extractor For Speaker Recognition",
   pages = "6031--6035",
   booktitle = "Proceedings of 2019 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP)",
   year = 2019,
   location = "Brighton, GB",
   publisher = "IEEE Signal Processing Society",
   ISBN = "978-1-5386-4658-8",
   doi = "10.1109/ICASSP.2019.8682590",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/12093"
}
Back to top