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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 Liu
This 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 Conference

Pagination

427 - 431

Publisher

Institute of Electrical and Electronics Engineers

Location

Beijing, China

Place of publication

Piscataway, N.J.

Start date

2013-07-06

End date

2013-07-10

ISBN-13

9781479910434

Language

eng

Publication classification

E1.1 Full written paper - refereed

Copyright notice

2013, IEEE

Editor/Contributor(s)

[Unknown]

Title of proceedings

IEEE ChinaSIP : Proceedings of the 2013 IEEE China Summit and International Conference on Signal and Information Processing

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