Audio Authentication by Exploring the Absolute-Error-Map of ENF Signals
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This is a image forensics paper , which identifies whether any tampering is done in an audio file by checking it with the Electric Network Frequency based dataset. If tampering is found the system could identify the tampered region also the kind of attack, whereas if no tampering the output should display the timestamp information.
プロジェクトID: #10440818
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