A novel audio forensic data-set for digital multimedia forensics. Issue 5 (3rd September 2018)

• Record Type: Journal Article
• Authors: Khan, Muhammad Khurram; Zakariah, Mohammed; Malik, Hafiz; Choo, Kim-Kwang Raymond
• Is Part Of: Australian journal of forensic sciences. Volume 50:Issue 5(2018)
• Page Start: 525
• Page End: 542
• Publication Date: 2018-09-03
• Subjects: Digital forensics -- digital authentication -- audio forensics -- audio forensic data-set -- speech recognition -- multimodality; Law -- Australia -- Periodicals; Forensic sciences -- Periodicals; Forensic Medicine -- Periodicals; 363.2505
• DOI: 10.1080/00450618.2017.1296186
• Languages: English
• ISSNs: 0045-0618

Abstract

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.