Result 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. no. 9, p. 1073-1077. ISSN: 1990-9772.
Type
conference paper
Language
English
Authors
Zeinali Hossein, Ph.D., DCGM (FIT)
Stafylakis Themos
ATHANASOPOULOU, G.
Rohdin Johan Andréas, M.Sc., Ph.D., FIT (FIT), DCGM (FIT)
GKINIS, I.
Burget Lukáš, doc. Ing., Ph.D., DCGM (FIT)
Černocký Jan, prof. Dr. Ing., DCGM (FIT)
Abstract

In this paper, we present the system description of the joint effortsof Brno University of Technology (BUT) and Omilia -Conversational Intelligence for the ASVSpoof2019 Spoofingand Countermeasures Challenge. The primary submission forPhysical access (PA) is a fusion of two VGG networks, trainedon single and two-channels features. For Logical access (LA),our primary system is a fusion of VGG and the recently introducedSincNet architecture. The results on PA show thatthe proposed networks yield very competitive performance inall conditions and achieved 86 % relative improvement comparedto the official baseline. On the other hand, the results onLA showed that although the proposed architecture and trainingstrategy performs very well on certain spoofing attacks, it failsto generalize to certain attacks that are unseen during training.

Keywords

detecting. spoofing, challenge, AVSSpoof

URL
Published
2019
Pages
1073–1077
Journal
Proceedings of Interspeech, vol. 2019, no. 9, ISSN 1990-9772
Proceedings
Proceedings of Interspeech
Conference
Interspeech Conference
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"
}
Files
Projects
Information mining in speech acquired by distant microphones, MV, Bezpečnostní výzkum České republiky 2015-2020, VI20152020025, start: 2015-10-01, end: 2020-09-30, completed
International mobility of researchers at the Brno University of Technology, EU, OPVVV PO2 Mezinárodní mobilita výzkumných pracovníků, EF16_027/0008371, CZ.02.2.69/0.0/0.0/16_027/0008371, start: 2018-01-01, end: 2022-09-30, running
IT4Innovations excellence in science, MŠMT, Národní program udržitelnosti II, LQ1602, start: 2016-01-01, end: 2020-12-31, completed
Sequence summarizing neural networks for speaker recognition, EU, Horizon 2020, 5SA15094, start: 2016-07-01, end: 2019-06-30, completed
Zpracování, zobrazování a analýza multimediálních a 3D dat, BUT, Vnitřní projekty VUT, FIT-S-17-3984, start: 2017-03-01, end: 2020-02-29, completed
Research groups
Speech Data Mining Research Group BUT Speech@FIT (RG SPEECH)
Departments
Department of Computer Graphics and Multimedia (DCGM)
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