Unmasking the Fake: Machine Learning Approach for Deepfake Voice Detection

Computer Science

• Machine Learning Approach 100%
• Deepfakes 100%
• Mel Frequency Cepstral Coefficient 100%
• Naïve Bayes Model 40%
• Logistic Regression 20%
• Performance Model 20%
• Fold Cross Validation 20%
• Random Decision Forest 20%
• Computational Cost 20%
• Discriminative Feature 20%
• K-near neighbor classifier 20%
• Artificial Intelligence 20%
• Machine Learning 20%
• Learning System 20%
• Transformation Process 20%

Keyphrases

• Voice Activity Detection 100%
• Fake Voice 33%
• Mel Frequency Cepstral Coefficient Features 16%
• Training Resources 16%
• Voice Authentication 16%
• Synthetic Voice 16%
• Computational Cost Analysis 16%
• Custom Model 16%