Publication Details

Fast variational Bayes for heavy-tailed PLDA applied to i-vectors and x-vectors

SILNOVA, A.; BRUMMER, J.; GARCÍA-ROMERO, D.; SNYDER, D.; BURGET, L. Fast variational Bayes for heavy-tailed PLDA applied to i-vectors and x-vectors. In Proceedings of Interspeech 2018. Proceedings of Interspeech. Hyderabad: International Speech Communication Association, 2018. p. 72-76. ISSN: 1990-9772.
Czech title
Rychlý variační Bayes pro PLDA model s těžkým chvostem aplikovaný na i-vektory a x-vektory
Type
conference paper
Language
English
Authors
Silnova Anna, M.Sc., Ph.D. (DCGM)
Brummer Johan Nikolaas Langenhoven, Dr.
García-Romero Daniel
SNYDER, D.
Burget Lukáš, doc. Ing., Ph.D. (DCGM)
URL
Keywords

peaker recognition, variational Bayes, heavytailed PLDA

Abstract

The standard state-of-the-art backend for text-independent speaker recognizers that use i-vectors or x-vectors, is Gaussian PLDA (G-PLDA), assisted by a Gaussianization step involving length normalization. G-PLDA can be trained with both generative or discriminative methods. It has long been known that heavy-tailed PLDA (HT-PLDA), applied without length normalization, gives similar accuracy, but at considerable extra computational cost. We have recently introduced a fast scoring algorithm for a discriminatively trained HT-PLDA backend. This paper extends that work by introducing a fast, variational Bayes, generative training algorithm. We compare old and new backends, with and without length-normalization, with i-vectors and x-vectors, on SRE10, SRE16 and SITW.

Published
2018
Pages
72–76
Journal
Proceedings of Interspeech, vol. 2018, no. 9, ISSN 1990-9772
Proceedings
Proceedings of Interspeech 2018
Publisher
International Speech Communication Association
Place
Hyderabad
DOI
UT WoS
000465363900015
EID Scopus
BibTeX
@inproceedings{BUT155098,
  author="SILNOVA, A. and BRUMMER, J. and GARCÍA-ROMERO, D. and SNYDER, D. and BURGET, L.",
  title="Fast variational Bayes for heavy-tailed PLDA applied to i-vectors and x-vectors",
  booktitle="Proceedings of Interspeech 2018",
  year="2018",
  journal="Proceedings of Interspeech",
  volume="2018",
  number="9",
  pages="72--76",
  publisher="International Speech Communication Association",
  address="Hyderabad",
  doi="10.21437/Interspeech.2018-2128",
  issn="1990-9772",
  url="https://www.isca-speech.org/archive/Interspeech_2018/abstracts/2128.html"
}
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