Abstract
Deepfake technology has made it increasingly difficult to discern real from fabricated audio, posing a significant challenge in the digital age. By employing sophisticated algorithms and voice recognition techniques, the system proposed in this article can analyse voice patterns and nuances to spot inconsistencies and anomalies, which are common indicators of deepfake voices and prevent scams and other types of cyber security issues.
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