Publication Details

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

SILNOVA Anna, BRUMMER Niko, GARCÍA-ROMERO Daniel, SNYDER David and BURGET Lukáš. Fast variational Bayes for heavy-tailed PLDA applied to i-vectors and x-vectors. In: Proceedings of Interspeech 2018. Hyderabad: International Speech Communication Association, 2018, pp. 72-76. ISSN 1990-9772. Available from: https://www.isca-speech.org/archive/Interspeech_2018/abstracts/2128.html
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, MSc. (DCGM FIT BUT)
Brummer Niko (OMILIA)
García-Romero Daniel (JHU)
Snyder David (JHU)
Burget Lukáš, doc. Ing., Ph.D. (DCGM FIT BUT)
URL
Keywords

peaker recognition, variational Bayes, heavytailed PLDA

Published
2018
Pages
72-76
Journal
Proceedings of Interspeech - on-line, vol. 2018, no. 9, ISSN 1990-9772
Proceedings
Proceedings of Interspeech 2018
Conference
19TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION (INTERSPEECH 2018), Hyderabad, India, IN
Publisher
International Speech Communication Association
Place
Hyderabad, IN
DOI
UT WoS
000465363900015
EID Scopus
BibTeX
@INPROCEEDINGS{FITPUB11837,
   author = "Anna Silnova and Niko Brummer and Daniel Garc\'{i}a-Romero and David Snyder and Luk\'{a}\v{s} Burget",
   title = "Fast variational Bayes for heavy-tailed PLDA applied to i-vectors and x-vectors",
   pages = "72--76",
   booktitle = "Proceedings of Interspeech 2018",
   journal = "Proceedings of Interspeech - on-line",
   volume = 2018,
   number = 9,
   year = 2018,
   location = "Hyderabad, IN",
   publisher = "International Speech Communication Association",
   ISSN = "1990-9772",
   doi = "10.21437/Interspeech.2018-2128",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/11837"
}
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