2025
What You Read Isn’t What You Hear: Linguistic Sensitivity in Deepfake Speech Detection
EMNLP 2025
Recent advances in text-to-speech technology have enabled highly realistic voice generation, fueling audio-based deepfake attacks such as fraud and impersonation. While audio anti-spoofing systems are critical for detecting such threats, prior research has predominantly focused on acoustic-level per