Deletion and insertion tampering detection for speech authentication based on fluctuating super vector of electrical network frequency
Author:
Funder
National Natural Science Foundation of China
Publisher
Elsevier BV
Reference47 articles.
1. Speech audio splicing detection and localization exploiting reverberation cues;Capoferri,2020
2. Detecting and locating digital audio forgeries based on singularity analysis with wavelet packet;Chen;Multimedia Tools Appl.,2016
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5. Semi-fragile speech watermarking based on singular-spectrum analysis with CNN-based parameter estimation for tampering detection;Galajit;APSIPA Trans. Signal Inf. Process.,2019
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1. Squeeze-and-Excitation Self-Attention Mechanism Enhanced Digital Audio Source Recognition Based on Transfer Learning;Circuits, Systems, and Signal Processing;2024-09-13
2. ENFformer: Long-short term representation of electric network frequency for digital audio tampering detection;Knowledge-Based Systems;2024-08
3. Discriminative Component Analysis Enhanced Feature Fusion of Electrical Network Frequency for Digital Audio Tampering Detection;Circuits, Systems, and Signal Processing;2024-07-26
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