November 13, 2025AlgorithmsOpen Access

AudioFakeNet: A Model for Reliable Speaker Verification in Deepfake Audio

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Achieves significant improvements in speaker verification accuracy for deepfake audio detection, enhancing reliability.
Utilizes Convolutional Neural Networks and deep neural networks for robust audio feature extraction and analysis.
Employs advanced techniques for effective deepfake detection, including LSTM units and attention mechanisms for segment focus.
Indicates a modular design that supports adaptability across diverse speech synthesis applications in various contexts.

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AudioFakeNet demonstrates improved speaker verification in deepfake audio, indicating better generalization for audio deception tasks.

Dilbar et al. (2025) studied this question.

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