Publication Details

Probabilistic Spherical Discriminant Analysis: An Alternative to PLDA for length-normalized embeddings

BRUMMER Johan Nikolaas Langenhoven, SWART Albert du Preez, MOŠNER Ladislav, SILNOVA Anna, PLCHOT Oldřich, STAFYLAKIS Themos and BURGET Lukáš. Probabilistic Spherical Discriminant Analysis: An Alternative to PLDA for length-normalized embeddings. In: Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH. Incheon: International Speech Communication Association, 2022, pp. 1446-1450. ISSN 1990-9772. Available from: https://www.isca-speech.org/archive/pdfs/interspeech_2022/brummer22_interspeech.pdf
Czech title
Pravděpodobnostní sférická diskriminační analýza: Alternativa k PLDA pro embeddingy s normalizovanou délkou
Type
conference paper
Language
english
Authors
Brummer Johan Nikolaas Langenhoven, Dr. (Phonexia)
Swart Albert du Preez (Speechly)
Mošner Ladislav, Ing. (DCGM FIT BUT)
Silnova Anna, MSc., Ph.D. (DCGM FIT BUT)
Plchot Oldřich, Ing., Ph.D. (DCGM FIT BUT)
Stafylakis Themos (OMILIA)
Burget Lukáš, doc. Ing., Ph.D. (DCGM FIT BUT)
URL
Keywords

speaker recognition, PSDA, Von Mises-Fisher

Published
2022
Pages
1446-1450
Journal
Proceedings of Interspeech - on-line, vol. 2022, no. 9, ISSN 1990-9772
Proceedings
Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH
Conference
Interspeech Conference, Incheon, KR
Publisher
International Speech Communication Association
Place
Incheon, KR
DOI
EID Scopus
BibTeX
@INPROCEEDINGS{FITPUB12845,
   author = "Langenhoven Nikolaas Johan Brummer and Preez du Albert Swart and Ladislav Mo\v{s}ner and Anna Silnova and Old\v{r}ich Plchot and Themos Stafylakis and Luk\'{a}\v{s} Burget",
   title = "Probabilistic Spherical Discriminant Analysis: An Alternative to PLDA for length-normalized embeddings",
   pages = "1446--1450",
   booktitle = "Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH",
   journal = "Proceedings of Interspeech - on-line",
   volume = 2022,
   number = 9,
   year = 2022,
   location = "Incheon, KR",
   publisher = "International Speech Communication Association",
   ISSN = "1990-9772",
   doi = "10.21437/Interspeech.2022-731",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/12845"
}
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