An Integrated Audio Forensic Framework For Instant Message Investigation

Abstract

Voice chat of instant message (IM) apps are getting popular. Huge amount of manpower is required to listen, analyze, and identify relevant chat files of IM apps in a forensic investigation. This paper proposes a semi-automatic integrated framework to deal with audio forensic investigation for IM apps by applying modern technologies. The main objective is to reduce the amount of manpower in the investigation. This is the first work that applies speech to text technology in voice chat of IM apps forensic. Both text and audio features are extracted to reconstruct the dialog conversation. Experiments with real case data show that the framework is promising. The framework is able to translate dialog into readable text and improve the efficiency during investigation with reconstructed conversation.