Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Dijana Petrovska-Delacréta"'
Publikováno v:
IET Biometrics, Vol 10, Iss 3, Pp 233-245 (2021)
Abstract Speaker verification is a key technology in many services and applications like smartphones and intelligent digital assistants. These applications usually require users to transmit their recordings, features, or models from their voices over
Externí odkaz:
https://doaj.org/article/0e4b785299934589af764f300f11ab47
Autor:
Frédéric Bimbot, Jean-François Bonastre, Corinne Fredouille, Guillaume Gravier, Ivan Magrin-Chagnolleau, Sylvain Meignier, Teva Merlin, Javier Ortega-García, Dijana Petrovska-Delacrétaz, Douglas A. Reynolds
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2004, Iss 4, Pp 430-451 (2004)
This paper presents an overview of a state-of-the-art text-independent speaker verification system. First, an introduction proposes a modular scheme of the training and test phases of a speaker verification system. Then, the most commonly speech para
Externí odkaz:
https://doaj.org/article/25ca6e24b24746e2bf1765c3bf65355b
Autor:
Holger Fröhlich, Noémi Bontridder, Dijana Petrovska-Delacréta, Enrico Glaab, Felix Kluge, Mounim El Yacoubi, Mayca Marín Valero, Jean-Christophe Corvol, Bjoern Eskofier, Jean-Marc Van Gyseghem, Stepháne Lehericy, Jürgen Winkler, Jochen Klucken
Publikováno v:
Frontiers in Neurology, Vol 13 (2022)
Recent years have witnessed a strongly increasing interest in digital technology within medicine (sensor devices, specific smartphone apps) and specifically also neurology. Quantitative measures derived from digital technology could provide Digital B
Externí odkaz:
https://doaj.org/article/5bc8b5c20bbd4ab1a51849052901a6c5
Publikováno v:
IET Biometrics, Vol 11, Iss 5, Pp 445-458 (2022)
Abstract Crypto‐biometric schemes, such as fuzzy commitment, require binary sources. A novel approach to binarising biometric data using Deep Neural Networks applied to facial biometric data is introduced. The binary representations are evaluated o
Externí odkaz:
https://doaj.org/article/e83e95ce768345b899fd1b7b55ac3e7a
Autor:
Laetitia Jeancolas, Dijana Petrovska-Delacrétaz, Graziella Mangone, Badr-Eddine Benkelfat, Jean-Christophe Corvol, Marie Vidailhet, Stéphane Lehéricy, Habib Benali
Publikováno v:
Frontiers in Neuroinformatics, Vol 15 (2021)
Many articles have used voice analysis to detect Parkinson's disease (PD), but few have focused on the early stages of the disease and the gender effect. In this article, we have adapted the latest speaker recognition system, called x-vectors, in ord
Externí odkaz:
https://doaj.org/article/2824f6eb36184efa818b863e2d34132c