Friday, April 2, 2021 | 12 – 1 pm | REGISTER NOW
Elie Khoury
Director of Research, Pindrop
Cybersecurity Virtual Lecture Series – Co-sponsored by the School of Cybersecurity and Privacy and the Institute for Information Security and Privacy
Abstract:
Voice 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.
Speaker Bio:
Dr. Elie Khoury is a Director of Research at Pindrop. He received his Master degree and his Ph.D from the University of Toulouse (France) in 2006 and 2010, respectively. Before joining Pindrop, He occupied research roles at Google (USA), Idiap Research Institute (Switzerland), University of Eastern Finland (Finland), University of Maine (France), Columbia University (USA), and Institut de Recherche en Informatique de Toulouse (France). His research interests include biometrics, mainly speaker and face recognition and anti-spoofing. His research work was published in top conferences and journals in the field of Biometrics, speech and image processing. Dr. Khoury is a regular scientific committee member at IEEE ICASSP, Interspeech and Odyssey.
