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Evaluating Pre-trained Speech Encoders for Spontaneous Speech Detection and Out of Domain Synthetic Speech Generalisation in Indic Languages
语音伪造检测 | 6.0/10
语音伪造检测
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The Voiceprint Fallacy: Why Voices Are Not Unique Biometric Imprints
说话人验证 | 6.0/10
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AffectDF: The Most Comprehensive Benchmark for Speech Deepfake Detection against Emotionally Expressive Attacks
语音伪造检测 | 8.4/10
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REIMU: Efficient Heterogeneous Hierarchical Reasoning for SSL-Based Speech Deepfake Detection
语音伪造检测 | 6.4/10
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Cloned Voices, Real Consequences: Evaluating Bias in Political Deepfake Detection for Electoral Integrity in Brazil
语音伪造检测 | 7.7/10
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Teffic-Audio: Tell Fact from Fiction
语音伪造检测 | 6.8/10
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Audio-Anchored Fusion of Multi-Ratio DiT Reconstruction Residuals for Cross-Domain Audio Deepfake Detection
语音伪造检测 | 6.6/10
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Leveraging Gradient Reversal Loss and Multitask Learning for Datasets-Aware Audio Deepfake Detection
语音伪造检测 | 7.3/10
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How Meta-Learning Shapes LoRA Adapter Geometry in Speech Deepfake Detection
语音伪造检测 | 5.2/10
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Probing Speaker Identity Sensitivity in Audio Deepfake Detectors
语音伪造检测 | 6.5/10
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Toward Interpretable Speech Deepfake Detection using Artifact-Specific Experts and Calibrated Detection Scores
语音伪造检测 | 7.0/10
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Component-Level Ensemble Fusion for Speech and Environmental Sound Deepfake Detection
语音伪造检测 | 6.4/10
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Time-Frequency Consistency Learning for Robust Speech Deepfake Detection
语音伪造检测 | 7.9/10
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A Geometry-Limited Identification Floor and Its Consequences for Voice-Clone Attribution in Professional Voice Actors
说话人验证 | 8.8/10
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Large Audio Language Models for Spoofing-Aware Speaker Verification
语音伪造检测 | 6.2/10
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Explainable-by-Design Audio Deepfake Detection via Wiener-Hopf Linear Prediction
语音伪造检测 | 6.1/10
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Traceback Translators Against Forgetting in Continual Fake Speech Detection
语音伪造检测 | 6.0/10
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Evidence Subspace Projection: Measuring How Much Evidence Explains Deepfake Detection in Self-Supervised Speech Models
语音伪造检测 | 8.1/10
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VoxENES 2026: Benchmarking Generalization of Speech Spoofing Detectors Against LLM-Era TTS and Voice Conversion
语音伪造检测 | 8.1/10
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What You Train Is What You Get: Gender Bias, Training Composition, and Post-Hoc Mitigation in Audio Deepfake Detection
语音伪造检测 | 6.6/10