Spoofed Audio

Spoofed audio, encompassing manipulated recordings like deepfakes and replay attacks, poses a significant threat to information integrity. Current research focuses on developing robust detection methods, employing various deep learning architectures and exploring the incorporation of human-perceptible linguistic features to improve accuracy. A key challenge lies in achieving generalization across diverse spoofing techniques and real-world audio, highlighting the need for more comprehensive datasets and evaluation protocols to ensure reliable and broadly applicable anti-spoofing technology. This work has implications for security, law enforcement, and the broader fight against misinformation.