DeepFense supplies a unified toolkit and large-scale benchmarks showing that pre-trained front-end feature extractors drive most performance differences while top models exhibit strong biases by audio quality, speaker gender, and language.
Automatic speaker verification spoofing and deepfake detection using wav2vec 2.0 and data aug- mentation
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DeepFense: A Unified, Modular, and Extensible Framework for Robust Deepfake Audio Detection
DeepFense supplies a unified toolkit and large-scale benchmarks showing that pre-trained front-end feature extractors drive most performance differences while top models exhibit strong biases by audio quality, speaker gender, and language.