Adriana Stan – Off-the-shelf HuggingFace models for audio deepfake detection | PyData Global 2024
www.pydata.org
This talk will cover how to use pre-trained HuggingFace models, specifically wav2vec 2.0 and WavLM, to detect audio deepfakes. These deepfakes, made possible by advanced voice cloning tools like ElevenLabs and Respeecher, present risks in areas like misinformation, fraud, and privacy violations. The session will introduce deepfake audio, discuss current trends in voice cloning, and provide a hands-on tutorial for using these transformer-based models to identify synthetic voices by spotting subtle anomalies. Participants will learn how to set up these models, analyze deepfake audio datasets, and assess detection performance, bridging the gap between speech generation and detection technologies.
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