Finetuning a pre-trained WavLM model via a three-stage strategy achieves high detection accuracy for deepfake environmental sounds on two benchmark datasets, outperforming training from scratch.
Mixup-based acoustic scene classification using multi-channel convolutional neural network,
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Environmental Sound Deepfake Detection Using Deep-Learning Framework
Finetuning a pre-trained WavLM model via a three-stage strategy achieves high detection accuracy for deepfake environmental sounds on two benchmark datasets, outperforming training from scratch.