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dc.contributor.authorKhoury, Elie
dc.date.accessioned2021-04-12T14:25:21Z
dc.date.available2021-04-12T14:25:21Z
dc.date.issued2021-04-02
dc.identifier.urihttp://hdl.handle.net/1853/64437
dc.descriptionPresented online on April 2, 2021 at 12:00 p.m.en_US
dc.descriptionElie Khoury is a Principal Research Scientist at Pindrop.
dc.descriptionRuntime: 72:20 minutes
dc.description.abstractVoice Biometrics is the automated recognition of individuals based on their voice characteristics that are both biological and behavioral. Voice Biometrics is currently deployed in many real world applications for personalization like voice assistants (e.g. Alexa and Google Home) or authentication and fraud prevention (e.g. in call centers). During this talk, we're going to describe how a voice biometrics system works, what are its main different components? How deep learning is helping this task? What are the current research challenges? In covid-19 era, how does wearing a mask affect the accuracy of voice biometrics? Additionally, we will focus on the emerging threats in the voice channel including deepfakes and replay attacks. We will finally describe our attempts to secure voice biometrics against those vulnerabilities.en_US
dc.language.isoen_USen_US
dc.publisherGeorgia Institute of Technologyen_US
dc.relation.ispartofseriesCybersecurity Lecture Series;
dc.subjectDeepfake audioen_US
dc.subjectSpeaker recognitionen_US
dc.subjectVoice biometricsen_US
dc.titleVoice Biometrics and Emerging Security Threats in the Voice Channelen_US
dc.typeLectureen_US
dc.typeVideoen_US
dc.contributor.corporatenameGeorgia Institute of Technology. Institute for Information Security & Privacyen_US
dc.contributor.corporatenamePindropen_US


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