Shize Guo

Weakly-supervised Audio Temporal Forgery Localization via Progressive Audio-language Co-learning Network

Audio temporal forgery localization (ATFL) aims to find the precise forgery regions of the partial spoof audio that is purposefully modified. Existing ATFL methods rely on training efficient networks using fine-grained annotations, which are obtained costly and challenging in real-world scenarios. T