Audio forgery detection based on max offsets for cross correlation between ENF and reference signal

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

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

    6 Citations (Scopus)

    Abstract

    The 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.
    Original languageEnglish
    Title of host publicationSelected Papers
    Subtitle of host publicationThe International Workshop on Digital Forensics and Watermarking 2012
    Place of PublicationHeidelberg
    PublisherSpringer-Verlag London Ltd.
    Pages253-266
    Number of pages14
    Volume7809 LNCS
    ISBN (Print)9783642400988
    DOIs
    Publication statusPublished - 2013
    Event11th International Workshop on Digital Forensics and Watermarking, IWDW 2012 - Shanghai Jiao Tong University, Shanghai, China
    Duration: 31 Oct 201203 Nov 2012

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume7809 LNCS
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Conference

    Conference11th International Workshop on Digital Forensics and Watermarking, IWDW 2012
    Country/TerritoryChina
    CityShanghai
    Period31/10/1203/11/12

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