Audio forensic authentication based on MOCC between ENF and reference signals

Zhisheng Lv, Yongjian Hu, Chang Tsun Li, Bei Bei Liu

    Research output: Book chapter/Published conference paperConference paperpeer-review

    9 Citations (Scopus)

    Abstract

    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.
    Original languageEnglish
    Title of host publicationProceedings of 2013 IEEE China Summit and International Conference on Signal and Information Processing
    Place of PublicationUSA
    PublisherIEEE, Institute of Electrical and Electronics Engineers
    Pages427-431
    Number of pages5
    ISBN (Print)9781479910434
    DOIs
    Publication statusPublished - 2013
    EventIEEE China Summit and International Conference on Signal and Information Processing - China National Convention Center (CNCC), Beijing, China
    Duration: 06 Jul 201310 Jul 2013
    https://web.archive.org/web/20130303181531/http://www.chinasip2013.org/ (Archived page)

    Conference

    ConferenceIEEE China Summit and International Conference on Signal and Information Processing
    Country/TerritoryChina
    CityBeijing
    Period06/07/1310/07/13
    Internet address

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