Publication Details

Detecting Spoofing Attacks Using VGG and SincNet: BUT-Omilia Submission to ASVspoof 2019 Challenge

ZEINALI, H.; STAFYLAKIS, T.; ATHANASOPOULOU, G.; ROHDIN, J.; GKINIS, I.; BURGET, L.; ČERNOCKÝ, J. Detecting Spoofing Attacks Using VGG and SincNet: BUT-Omilia Submission to ASVspoof 2019 Challenge. In Proceedings of Interspeech. Proceedings of Interspeech. Graz: International Speech Communication Association, 2019. p. 1073-1077. ISSN: 1990-9772.
Czech title
Detekce imitátorských útoků pomocí VGG a SincNet: systém VUT-Omilia pro soutěž ASVspoof 2019
Type
conference paper
Language
English
Authors
Zeinali Hossein, Ph.D. (DCGM)
Stafylakis Themos
ATHANASOPOULOU, G.
Rohdin Johan Andréas, M.Sc., Ph.D. (DCGM)
GKINIS, I.
Burget Lukáš, doc. Ing., Ph.D. (DCGM)
Černocký Jan, prof. Dr. Ing. (DCGM)
URL
Keywords

detecting. spoofing, challenge, AVSSpoof

Abstract

In this paper, we present the system description of the joint efforts of Brno University of Technology (BUT) and Omilia - Conversational Intelligence for the ASVSpoof2019 Spoofing and Countermeasures Challenge. The primary submission for Physical access (PA) is a fusion of two VGG networks, trained on single and two-channels features. For Logical access (LA), our primary system is a fusion of VGG and the recently introduced SincNet architecture. The results on PA show that the proposed networks yield very competitive performance in all conditions and achieved 86 % relative improvement compared to the official baseline. On the other hand, the results on LA showed that although the proposed architecture and training strategy performs very well on certain spoofing attacks, it fails to generalize to certain attacks that are unseen during training.

Published
2019
Pages
1073–1077
Journal
Proceedings of Interspeech, vol. 2019, no. 9, ISSN 1990-9772
Proceedings
Proceedings of Interspeech
Publisher
International Speech Communication Association
Place
Graz
DOI
10.21437/Interspeech.2019-2892
UT WoS
000831796401046
EID Scopus
2-s2.0-85074723982
BibTeX 
@inproceedings{BUT159993,
  author="ZEINALI, H. and STAFYLAKIS, T. and ATHANASOPOULOU, G. and ROHDIN, J. and GKINIS, I. and BURGET, L. and ČERNOCKÝ, J.",
  title="Detecting Spoofing Attacks Using VGG and SincNet: BUT-Omilia Submission to ASVspoof 2019 Challenge",
  booktitle="Proceedings of Interspeech",
  year="2019",
  journal="Proceedings of Interspeech",
  volume="2019",
  number="9",
  pages="1073--1077",
  publisher="International Speech Communication Association",
  address="Graz",
  doi="10.21437/Interspeech.2019-2892",
  issn="1990-9772",
  url="https://www.isca-speech.org/archive/Interspeech_2019/pdfs/2892.pdf"
}
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