In a study involving more than 500 people, participants correctly identified speech deepfakes only 73 percent of the time, and efforts to train participants to detect deepfakes had minimal effects. Kimberly Mai and colleagues at University College London, UK, presented these findings in the open-access journal PLOS ONE on August 2, 2023. Speech deepfakes are synthetic voices produced by machine-learning models. Deepfakes may resemble a specific real person's voice, or they may be unique. Tools for making speech deepfakes have recently improved, raising concerns about security threats.

https://www.miragenews.com/even-trained-humans-often-fooled-by-speech-1058870/

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