Audio Splicing

Audio splicing, the act of joining together different audio segments, is increasingly concerning due to its use in creating convincing audio forgeries. Current research focuses on developing robust detection methods, moving beyond simple signal analysis towards sophisticated deep learning approaches like pointer networks, Transformer networks, and architectures incorporating Res2Net and Conformer blocks, aiming to pinpoint splice locations even in challenging, real-world audio. This work is crucial for maintaining the integrity of audio evidence in legal contexts and combating the spread of misinformation, highlighting the need for effective and generalizable detection algorithms.