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Detecting Deepfake Voice Using Explainable Deep Learning Techniques
2022
Applied Sciences
Fake media, generated by methods such as deepfakes, have become indistinguishable from real media, but their detection has not improved at the same pace. Furthermore, the absence of interpretability on deepfake detection models makes their reliability questionable. In this paper, we present a human perception level of interpretability for deepfake audio detection. Based on their characteristics, we implement several explainable artificial intelligence (XAI) methods used for image classification
doi:10.3390/app12083926
fatcat:vjuwm2j4jbhtrgxgb3v6sufwya