Presentation Attack Detection on Limited-Resource Devices Using Deep Neural Classifiers Trained on Consistent Spectrogram Fragments

The presented paper is concerned with detection of presentation attacks against unsupervised remote biometric speaker verification, using a well-known challenge–response scheme. We propose a novel approach to convolutional phoneme classifier training, which ensures high phoneme recognition accuracy...

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Detalles Bibliográficos
Autores principales: Kubicki, Kacper, Kapusta, Paweł, Ślot, Krzysztof
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8624699/
https://www.ncbi.nlm.nih.gov/pubmed/34833803
http://dx.doi.org/10.3390/s21227728

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8624699/
https://www.ncbi.nlm.nih.gov/pubmed/34833803
http://dx.doi.org/10.3390/s21227728

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