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Audio forgery detection based on max offsets for cross correlation between ENF and reference signal
conference contribution
posted on 2013-01-01, 00:00 authored by Y Hu, Chang-Tsun LiChang-Tsun Li, Z Lv, B B LiuThe electric network frequency (ENF) is likely to be embedded in audio signals when the electronic recording devices are connected to electric power lines. If an audio signal is edited, the embedded ENF will be altered inevitably. In order to assess audio authenticity, this paper proposes a new method based on the max offset for cross correlation between the extracted ENF and the reference signal. By comparing the max offsets on a block-by-block basis, we can determine whether the audio signal in question was digitally edited as well as the location at which the editing manipulation occurs. The validity and effectiveness of our method have been verified by experiments on both synthetic composite signals and real-world audio signals.
History
Event
Digital Forensics and Watermarking. Workshop (2012 : Shanghai, China)Volume
7809Series
Digital Forensics and Watermarking WorkshopPagination
253 - 266Publisher
SpringerLocation
Shanghai, ChinaPlace of publication
Berlin, GermanyPublisher DOI
Start date
2012-10-31End date
2013-11-03ISSN
0302-9743eISSN
1611-3349ISBN-13
9783642400988Language
engPublication classification
E1.1 Full written paper - refereedCopyright notice
2013, Springer-Verlag Berlin HeidelbergEditor/Contributor(s)
Y Shi, H Kim, F Pérez-GonzálezTitle of proceedings
IWDW12 : Proceedings of the International Workshop on Digital Forensics and Watermarking 2012Usage metrics
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