Detail publikace

End-to-End DNN Based Speaker Recognition Inspired by i-Vector and PLDA

ROHDIN Johan A., SILNOVA Anna, DIEZ Sánchez Mireia, PLCHOT Oldřich, MATĚJKA Pavel a BURGET Lukáš. End-to-End DNN Based Speaker Recognition Inspired by i-Vector and PLDA. In: Proceedings of ICASSP. Calgary: IEEE Signal Processing Society, 2018, s. 4874-4878. ISBN 978-1-5386-4658-8.
Název česky
End-to-end DNN rozpoznávání mluvčího inspirované i-vektory a PLDA
Typ
článek ve sborníku konference
Jazyk
angličtina
Autoři
URL
Abstrakt

Tento článek pojednává o End-to-end DNN rozpoznávání mluvčího, které je inspirované i-vektory a PLDA.

Rok
2018
Strany
4874-4878
Sborník
Proceedings of ICASSP
Konference
IEEE International Conference on Acoustics, Speech and Signal Processing, Calgary, CA
ISBN
978-1-5386-4658-8
Vydavatel
IEEE Signal Processing Society
Místo
Calgary, CA
DOI
UT WoS
000446384605009
EID Scopus
BibTeX
@INPROCEEDINGS{FITPUB11724,
   author = "A. Johan Rohdin and Anna Silnova and Mireia S\'{a}nchez Diez and Old\v{r}ich Plchot and Pavel Mat\v{e}jka and Luk\'{a}\v{s} Burget",
   title = "End-to-End DNN Based Speaker Recognition Inspired by i-Vector and PLDA",
   pages = "4874--4878",
   booktitle = "Proceedings of ICASSP",
   year = 2018,
   location = "Calgary, CA",
   publisher = "IEEE Signal Processing Society",
   ISBN = "978-1-5386-4658-8",
   doi = "10.1109/ICASSP.2018.8461958",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/11724"
}
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