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...
Saved in:
Main Authors: | , , , |
---|---|
Format: | Article |
Published: |
Institute of Advanced Engineering and Science
2016
|
Subjects: | |
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 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my.utm.74417 |
---|---|
record_format |
eprints |
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 |