A novel audio forensic data-set for digital multimedia forensics

Journal Article

Muhammad, Khurram Khan , Mohammed Zakariah , Hafiz Malik and Kim-Kwang Raymond Choo . 2017

• Publication Work Type: Research

Publication Abstract

Today, digital multimedia (audio, video, images) is a common
evidential source in litigation and criminal justice proceedings, and,
not surprisingly, multimedia forensics is an active research area. One
particular challenge faced by multimedia forensic researchers is the
lack of a comprehensive and publicly available data-set for evaluating
existing and new algorithms. This paper presents a digital audio
forensic data-set, designed to facilitate evaluation of audio forensic
algorithms (e.g. microphone identification, acoustic environment
identification and splice detection). This paper also briefly describes
the data-collection settings, microphones, speakers, languages and
notations used. Existing tamper-detection techniques rely on artefacts
due to recording devices, codec and/or the acoustic environment in
the audio in question. Experimental results show that the selected
approaches achieved promising results.