Reaction: Speech deepfakes fool humans even if they are trained to detect them
Speech deepfakes are synthetic voices produced by machine learning models that can resemble real human voices. Research published in PLoS ONE involving half a thousand participants shows that they were able to correctly identify that they were not real voices 73% of the time. The results of the study—conducted in English and Mandarin—showed only a slight improvement in those people who were specifically trained to spot these deepfakes.
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