Statistical based audio forensic on identical microphones

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 o...

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Main Authors: Kurniawan, F., Rahim, M. S. M., Khalil, M. S., Khan, M. K.
Format: Article
Published: Institute of Advanced Engineering and Science 2016
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Online Access:http://eprints.utm.my/id/eprint/74417/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84999028746&doi=10.11591%2fijece.v6i5.12022&partnerID=40&md5=3c3deadb0a10c80ccabe24cb4c74bf54
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spelling my.utm.744172017-11-29T23:58:40Z http://eprints.utm.my/id/eprint/74417/ Statistical based audio forensic on identical microphones Kurniawan, F. Rahim, M. S. M. Khalil, M. S. Khan, M. K. QA75 Electronic computers. Computer science 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%. Institute of Advanced Engineering and Science 2016 Article PeerReviewed Kurniawan, F. and Rahim, M. S. M. and Khalil, M. S. and Khan, M. K. (2016) Statistical based audio forensic on identical microphones. International Journal of Electrical and Computer Engineering, 6 (5). pp. 2211-2218. ISSN 2088-8708 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84999028746&doi=10.11591%2fijece.v6i5.12022&partnerID=40&md5=3c3deadb0a10c80ccabe24cb4c74bf54
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Kurniawan, F.
Rahim, M. S. M.
Khalil, M. S.
Khan, M. K.
Statistical based audio forensic on identical microphones
description 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%.
format Article
author Kurniawan, F.
Rahim, M. S. M.
Khalil, M. S.
Khan, M. K.
author_facet Kurniawan, F.
Rahim, M. S. M.
Khalil, M. S.
Khan, M. K.
author_sort Kurniawan, F.
title Statistical based audio forensic on identical microphones
title_short Statistical based audio forensic on identical microphones
title_full Statistical based audio forensic on identical microphones
title_fullStr Statistical based audio forensic on identical microphones
title_full_unstemmed Statistical based audio forensic on identical microphones
title_sort statistical based audio forensic on identical microphones
publisher Institute of Advanced Engineering and Science
publishDate 2016
url http://eprints.utm.my/id/eprint/74417/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84999028746&doi=10.11591%2fijece.v6i5.12022&partnerID=40&md5=3c3deadb0a10c80ccabe24cb4c74bf54
_version_ 1643656853792489472
score 13.211869