The paper creates ADD-C benchmark dataset for audio deepfake detection under codec compression and packet loss, shows baseline degradation, and demonstrates a data augmentation method that boosts robustness.
Deepfake audio detection via mfcc features using machine learning
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Benchmarking Audio Deepfake Detection Robustness in Real-world Communication Scenarios
The paper creates ADD-C benchmark dataset for audio deepfake detection under codec compression and packet loss, shows baseline degradation, and demonstrates a data augmentation method that boosts robustness.