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Human listeners misclassify genuine audio as fake 77% of the time, revealing a critical vulnerability in our ability to discern deepfake speech.
Deepfake speech detection may achieve sub-1% error rates in controlled settings, but real-world performance falters dramatically due to unforeseen challenges.
