Audio Deepfakes: Exploring Their Benefits and Dangers and How to Detect Them

This Lunch Talk will discuss the topic of audio DeepFakes. The presentation will highlight both its potential benefits and the threats related to the malicious use of voice synthesis technologies. We will discuss the state-of-the-art technologies in the field of speech synthesis and later learn about the latest techniques and tools developed to identify and combat these voice manipulations using audio DeepFake detection algorithms.

Curriculum vitæ

Piotr Kawa is an AI Tech Lead at IDENTT, working on various biometrics-related problems, including liveness verification and injection attack detection. As a PhD Candidate at Wrocław University of Science and Technology, he focuses on audio anti-spoofing problems, particularly detecting DeepFake manipulations.

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