Towards Unconstrained Audio Splicing Detection and Localization with Neural Networks

arXiv:2207.14682v4 Announce Type: replace-cross
Abstract: Freely available and easy-to-use audio editing tools make it straightforward to perform audio splicing. Convincing forgeries can be created by combining various speech samples from the same person. Detection of such splices is important both in the public sector when considering misinformation, and in a legal context to verify the integrity of evidence. Unfortunately, most existing detection algorithms for audio splicing use handcrafted features and make specific assumptions. However, criminal investigators are often faced with …

abstract arxiv audio audio editing cs.ai cs.cv cs.sd detection easy editing editing tools eess.as localization misinformation networks neural networks person public public sector samples sector speech tools type