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Representation and Metric Learning Advances for Face and Speaker Biometric Systems

Offered By: Center for Language & Speech Processing(CLSP), JHU via YouTube

Tags

Biometrics Courses Machine Learning Courses Computer Vision Courses Face Recognition Courses Representation Learning Courses

Course Description

Overview

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Explore advances in representation and metric learning for face and speaker biometric systems in this 33-minute conference talk by Victoria Mingote from the Center for Language & Speech Processing (CLSP) at Johns Hopkins University. Delivered as part of JSALT 2023, the 30th edition of the workshop held in Le Mans, France, this presentation delves into cutting-edge techniques for improving biometric recognition systems. Gain insights into the latest developments in facial and voice recognition technologies, and understand how these advancements are shaping the future of security and authentication systems. Learn about the challenges and opportunities in this rapidly evolving field from an expert researcher at the forefront of biometric technology innovation.

Syllabus

Representation and Metric Learning Advances for Face and Speaker Biometric Systems -Victoria Mingote


Taught by

Center for Language & Speech Processing(CLSP), JHU

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