Fusing CQCC spectral features with Wav2Vec2.0 embeddings via cross-attention lowers average equal error rate from 10.87% to 6.80% across four speech deepfake benchmarks.
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Two Views, One Truth: Spectral and Self-Supervised Features Fusion for Robust Speech Deepfake Detection
Fusing CQCC spectral features with Wav2Vec2.0 embeddings via cross-attention lowers average equal error rate from 10.87% to 6.80% across four speech deepfake benchmarks.