Publication Details

Discriminatively Re-trained i-Vector Extractor For Speaker Recognition

NOVOTNÝ, O.; PLCHOT, O.; GLEMBEK, O.; BURGET, L.; MATĚJKA, P. 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. p. 6031-6035. ISBN: 978-1-5386-4658-8.
Czech title
Diskriminativně přetrénovaný extraktor i-vektorů pro rozpoznávání mluvčího
Type
conference paper
Language
English
Authors
Novotný Ondřej, Ing., Ph.D.
Plchot Oldřich, Ing., Ph.D. (DCGM)
Glembek Ondřej, Ing., Ph.D.
Burget Lukáš, doc. Ing., Ph.D. (DCGM)
Matějka Pavel, Ing., Ph.D.
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 extractorcomponent in the standard speaker verification (SV) system. Themotivation of our research lies in the robustness and stability of thislarge generative model, which we want to preserve, and focus itspower towards any intended SV task. We show that after generativeinitialization of the i-vector extractor, we can further refine itwith discriminative training and obtain i-vectors that lead to betterperformance on various benchmarks representing different acousticdomains.

Published
2019
Pages
6031–6035
Proceedings
Proceedings of 2019 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP)
ISBN
978-1-5386-4658-8
Publisher
IEEE Signal Processing Society
Place
Brighton
DOI
10.1109/ICASSP.2019.8682590
UT WoS
000482554006052
EID Scopus
2-s2.0-85068986459
BibTeX 
@inproceedings{BUT160000,
  author="Ondřej {Novotný} and Oldřich {Plchot} and Ondřej {Glembek} and Lukáš {Burget} and Pavel {Matějka}",
  title="Discriminatively Re-trained i-Vector Extractor For Speaker Recognition",
  booktitle="Proceedings of 2019 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP)",
  year="2019",
  pages="6031--6035",
  publisher="IEEE Signal Processing Society",
  address="Brighton",
  doi="10.1109/ICASSP.2019.8682590",
  isbn="978-1-5386-4658-8",
  url="https://ieeexplore.ieee.org/document/8682590"
}
Files
Back to top