Authors :
Dr. Kavitha C; Pavan G; Josh Kayyaniyil Joby; R Vipul Nayak; Rakesh Rathod
Volume/Issue :
Volume 9 - 2024, Issue 3 - March
Google Scholar :
https://tinyurl.com/36m85zy9
Scribd :
https://tinyurl.com/y4b3vdac
DOI :
https://doi.org/10.38124/ijisrt/IJISRT24MAR766
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.
Keywords :
Deepfakes, Deepfake Audio, Synthetic Audio, Machine Learning, Acoustic Data.
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.
Keywords :
Deepfakes, Deepfake Audio, Synthetic Audio, Machine Learning, Acoustic Data.
