Audio Forensics

Audio forensics aims to develop methods for verifying the authenticity and integrity of audio recordings, crucial for legal and security applications. Current research heavily focuses on detecting manipulated audio, including deepfakes and auto-tuned vocals, employing techniques like deep learning models (e.g., CNNs, LSTMs, and triplet networks) to analyze spectral features and identify subtle artifacts indicative of manipulation. This field is vital for combating misinformation and fraud, providing robust tools for authenticating audio evidence in legal proceedings and other high-stakes situations. The development of open-source frameworks is also accelerating research and improving reproducibility.