International Journal of Electrical and Computer Engineering
Vol 6, No 5: October 2016

Statistical Based Audio Forensic on Identical Microphones

Fajri Kurniawan (Universiti Teknologi Malaysia)
Mohd. Shafry Mohd. Rahim (Universiti Teknologi Malaysia)
Mohammed S. Khalil (King Saud University)
Muhammad Khurram Khan (King Saud University)



Article Info

Publish Date
01 Oct 2016

Abstract

Microphone forensics has become a challenging field due to the proliferation of recording devices and explosion in video/audio recording. Video or audio recording helps a criminal investigator to analyze the scene and to collect evidences. In this regards, a robust method is required to assure the originality of some recordings. In this paper, we focus on digital audio forensics and study how to identify the microphone model. Defining microphone model will allow the investigators to conclude integrity of some recordings. We perform statistical analysis on the recording that is collected from two microphones of the same model. Experimental results and analysis indicate that the signal of sound recording of identical microphone is not exactly same and the difference is up to 1% - 3%.

Copyrights © 2016






Journal Info

Abbrev

IJECE

Publisher

Subject

Computer Science & IT Electrical & Electronics Engineering

Description

International Journal of Electrical and Computer Engineering (IJECE, ISSN: 2088-8708, a SCOPUS indexed Journal, SNIP: 1.001; SJR: 0.296; CiteScore: 0.99; SJR & CiteScore Q2 on both of the Electrical & Electronics Engineering, and Computer Science) is the official publication of the Institute of ...