Detail publikace

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

ROHDIN, J.; SILNOVA, A.; DIEZ SÁNCHEZ, M.; PLCHOT, O.; MATĚJKA, P.; BURGET, L. End-to-End DNN Based Speaker Recognition Inspired by i-Vector and PLDA. In Proceedings of ICASSP. Calgary: IEEE Signal Processing Society, 2018. p. 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
anglicky
Autoři
Rohdin Johan Andréas, M.Sc., Ph.D. (UPGM)
Silnova Anna, M.Sc., Ph.D. (UPGM)
Diez Sánchez Mireia, M.Sc., Ph.D. (UPGM)
Plchot Oldřich, Ing., Ph.D. (UPGM)
Matějka Pavel, Ing., Ph.D. (UPGM)
Burget Lukáš, doc. Ing., Ph.D. (UPGM)
URL
Klíčová slova

Speaker verification, DNN, end-to-end

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
DOI
10.1109/ICASSP.2018.8461958
UT WoS
000446384605009
EID Scopus
2-s2.0-85054212885
BibTeX 
@inproceedings{BUT155046,
  author="Johan Andréas {Rohdin} and Anna {Silnova} and Mireia {Diez Sánchez} and Oldřich {Plchot} and Pavel {Matějka} and Lukáš {Burget}",
  title="End-to-End DNN Based Speaker Recognition Inspired by i-Vector and PLDA",
  booktitle="Proceedings of ICASSP",
  year="2018",
  pages="4874--4878",
  publisher="IEEE Signal Processing Society",
  address="Calgary",
  doi="10.1109/ICASSP.2018.8461958",
  isbn="978-1-5386-4658-8",
  url="https://www.fit.vut.cz/research/publication/11724/"
}
Nahoru