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*, 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»
DOI:
10.37421/2157-7145.2025.16.657
Journal of Forensic Research received 2328 citations as per Google Scholar report