A deep dive into Biometrics
Abstract
With the rapid growth in the use of mobile devices and pervasive computing on one hand, and the rise of deep learning on the other, biometric recognition has become an even more exciting field. In this talk, I will give an overview on speaker and face recognition focusing on deep learning. I will talk about spoofing and countermeasures and on privacy issues (cancelable biometrics).
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A. Aides, H. Aronowitz, "Text-Dependent Audiovisual Synchrony Detection for Spoofing Detection in Mobile Person Recognition", in Proc. Interspeech, 2016.
D. Snyder et al. "Deep Neural Network Embeddings for Text-Independent Speaker Verification ", to appear in Proc. Interspeech, 2017.
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Z. Cao, M. Long, P.S. YU, "HashNMet: Deep Learning to Hash by Continuation", in arXiv, 2017,
Speaker
Dr. Hagai Aronowitz received the B.Sc. degree in Computer Science, Mathematics and Physics from the Hebrew University, Jerusalem, Israel in 1994, and the M.Sc. degree, Summa Cum Laude and Ph.D. degree, both in Computer Science from Bar-Ilan University, Ramat-Gan, Israel, in 2000 and 2006 respectively. In 2006-2007 he has been a postdoctoral fellow in the advanced LVCSR group in IBM T. J. Watson Research Center, Yorktown Heights, NY. He currently is working at IBM Haifa Research Lab, leading the multi-modal biometrics research team. His research interests include speaker identification, speaker diarization, face identification, audiovisual processing, and spoken language identification. Dr. Aronowitz is an author of 50 peer reviewed publications in major conferences and journals.
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