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High-frequency details, often discarded, are actually crucial for spotting singing voice deepfakes, enabling significantly better detection.
Real-world speech disfluencies trip up even the most advanced full-duplex voice agents, exposing critical gaps in self-correction and multi-step reasoning abilities.