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.

Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call