Open AccessStatistical Based Audio Forensic on Identical Microphones
Author(s) -
Fajri Kurniawan,
Mohd. Shafry Mohd. Rahim,
Mohammed Khalil,
Muhammad Khurram Khan
Publication year - 2016
Publication title -
international journal of electrical and computer engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.277
H-Index - 22
ISSN - 2088-8708
DOI - 10.11591/ijece.v6i5.pp2211-2218
Subject(s) - microphone , computer science , sound recording and reproduction , digital recording , digital audio , audio analyzer , audio signal , speech recognition , signal (programming language) , focus (optics) , digital forensics , video recording , acoustics , multimedia , telecommunications , computer security , speech coding , sound pressure , physics , optics , programming language
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%.