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Audio forensic authentication based on MOCC between ENF and reference signals
conference contribution
posted on 2013-01-01, 00:00 authored by Z Lv, Y Hu, Chang-Tsun LiChang-Tsun Li, B B LiuThis paper proposes a new audio authenticity detection algorithm based on the max offset for cross correlation (MOCC) between the extracted ENF (Electric Network Frequency) signal and the reference signal. We first extract the ENF signal from a query audio signal. And then we partition it into overlapping blocks for forgery detection. The MOCC between the extracted ENF and the reference signal is calculated block by block. We also introduce an enhancement scheme to improve the quality of the ENF signal before the calculation of the MOCC. Our proposed method can detect not only audio forgery but also the edited region and audio forgery type. The effectiveness of our method has been verified by experiments on digitally edited audio signals.
History
Event
IEEE Signal Processing Society. Conference (2013 : Beijing, China)Series
IEEE Signal Processing Society ConferencePagination
427 - 431Publisher
Institute of Electrical and Electronics EngineersLocation
Beijing, ChinaPlace of publication
Piscataway, N.J.Publisher DOI
Start date
2013-07-06End date
2013-07-10ISBN-13
9781479910434Language
engPublication classification
E1.1 Full written paper - refereedCopyright notice
2013, IEEEEditor/Contributor(s)
[Unknown]Title of proceedings
IEEE ChinaSIP : Proceedings of the 2013 IEEE China Summit and International Conference on Signal and Information ProcessingUsage metrics
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