3 accepted papers
Advances in generative modeling have made it increasingly easy to fabricate realistic portrayals of individuals, creating serious risks for security, communication, and public trust. Detecting such person-driven manipulations requires systems that not only distinguish altered content from authentic
Source recording device matching from two speech recordings is a new and important problem of digital media forensics. It aims to answer the question that whether or not two speech recordings are recorded by the same recording device. In this study we propose a source cell phone matching scheme. The…
Source recording device recognition is an important emerging research field of digital media forensic. Most of the prior literature focus on the recording device identification problem. In this study we propose a source cell phone verification scheme based on sparse representation. We employed Gauss…