Publication Details

Gaussian meta-embeddings for efficient scoring of a heavy-tailed PLDA model

BRUMMER Niko, SILNOVA Anna, BURGET Lukáš and STAFYLAKIS Themos. Gaussian meta-embeddings for efficient scoring of a heavy-tailed PLDA model. In: Proceedings of Odyssey 2018. Les Sables d'Olonne: International Speech Communication Association, 2018, pp. 349-356. ISSN 2312-2846.
Czech title
Gaussovské meta-embeddingy pro efektivní skórování PLDA modelu s těžkým chvostem
Type
conference paper
Language
english
Authors
Brummer Niko (OMILIA)
Silnova Anna, MSc. (DCGM FIT BUT)
Burget Lukáš, doc. Ing., Ph.D. (DCGM FIT BUT)
Stafylakis Themos (OMILIA)
URL
Keywords

embeddings, machine learning, speaker recognition

Published
2018
Pages
349-356
Journal
Proceedings of Odyssey: The Speaker and Language Recognition Workshop, vol. 2018, no. 6, ISSN 2312-2846
Proceedings
Proceedings of Odyssey 2018
Conference
Odyssey 2018, Les Sables d'Olonne, France, FR
Publisher
International Speech Communication Association
Place
Les Sables d'Olonne, FR
DOI
BibTeX
@INPROCEEDINGS{FITPUB11790,
   author = "Niko Brummer and Anna Silnova and Luk\'{a}\v{s} Burget and Themos Stafylakis",
   title = "Gaussian meta-embeddings for efficient scoring of a heavy-tailed PLDA model",
   pages = "349--356",
   booktitle = "Proceedings of Odyssey 2018",
   journal = "Proceedings of Odyssey: The Speaker and Language Recognition Workshop",
   volume = 2018,
   number = 6,
   year = 2018,
   location = "Les Sables d'Olonne, FR",
   publisher = "International Speech Communication Association",
   ISSN = "2312-2846",
   doi = "10.21437/Odyssey.2018-49",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/11790"
}
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