Department of Photo and Scientific Aids Division, Central Forensic Science Laboratory, Delhi, India
Research Article
Digital Forensic Investigation of Video Evidence Using Voice Activity Detection Algorithm
Author(s): Ashutosh Deo Tiwari, Thanuja Durgam** and Sunil Kumar and Sunand Bishnoi
Objective: This study investigates the forensic potential of active speaker switching behaviors in video conferencing platforms as a means of establishing platform identification and authenticity when conventional metadata is absent. The work aims to provide a reproducible, system level methodology for software attribution, thereby strengthening the reliability of multimedia evidence in digital forensics.
Methods: An investigative case involving an 18-minute three-person video recording with no overt metadata was analyzed. The recording displayed dynamic screen transitions aligned with speaker activity. To uncover latent forensic markers, a controlled replication experiment was conducted in which the same conversational scenario was reproduced across multiple conferencing platforms (Zoom, Microsoft Teams, Cisco Webex, Zoho Meeting) under ide.. Read More»
Journal of Forensic Research received 2328 citations as per Google Scholar report