Mar 17, 2016 · In this paper, we propose an effective anti-forensic attack for environmental-signature-based splicing detection method and countermeasures to ...

In particular, the proposed anti-forensic detection method uses a rich-feature model consisting of Fourier coefficients, spectral properties, high-order ...

Abstract—Numerous methods for detecting audio splicing have been proposed. Environmental-signature-based methods are considered to be the most effective ...

We have developed techniques for audio authentication and splicing detection [1, 5], microphone identification and tamper detection using microphone signature [ ...

In specific, the proposed anti-forensic detection method uses a rich-feature model consisting of Fourier coefficients, spectral properties, high-order ...

Anti-Forensics of Environmental-Signature-Based Audio Splicing Detection and Its Countermeasure via Rich-Features Classification · Author Picture Hong Zhao.

Mar 14, 2024 · Anti-forensics of environmental-signature-based audio splicing detection and its countermeasure via rich-features classification. IEEE Trans ...

... Signature-Based Audio Splicing Detection and Its Countermeasure via Rich-features Classification,” IEEE Transactions on Information Forensics and Security, vol.

Environmental-signature-based methods are considered to be the most effective forgery detection methods. The performance of existing audio forensic analysis ...

The magnitudes of acoustic channel impulse response and ambient noise are considered as the environmental signature and used to authenticate the integrity ...