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Digital Audio Tampering Detection Based on ENF Spatio-temporal Features Representation Learning
[article]
2022
arXiv
pre-print
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Most digital audio tampering detection methods based on electrical network frequency (ENF) only utilize the static spatial information of ENF, ignoring the variation of ENF in time series, which limit ...
This paper proposes a new method for digital audio tampering detection based on ENF spatio-temporal features representation learning. ...
[19] extracted the phase features of the ENF component (ENFC) based on 𝐷𝐹𝑇 0 and 𝐷𝐹𝑇 1 , extracted the instantaneous frequency features of ENFC based on Hilbert transform, and used the SVM classifier ...
arXiv:2208.11920v1
fatcat:soqjq7l645b7dampdqrk6zhko4
Verifying the Audio Evidence to Assist Forensic Investigation
2021
Computer and Information Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
In this paper, an overview on audio forensics is presented, previous related work to this topic is shown, and methodologies for audio enhancement and authentication are explained along with audio tampering ...
Audio forensics is a field in forensics that is used to authenticate, enhance, and analyze audio files to aid in solving different crime investigations. ...
First, they proposed an ESPRIT-Hilbert ENF estimator in conjunction with an outlier detector based on the sample kurtosis of the estimated ENF. ...
doi:10.5539/cis.v14n3p25
fatcat:ue2cvgym4ngvpb5in3wmn64jjq