Audio copy-move forgery detection with decreasing convolutional kernel neural network and spectrogram fusion
Abstract One of the most common forms of audio forgery is copying and moving certain audible segments of audio to other locations in the same audio. The audio features of the pasted regions in such audio forgeries become very dissimilar to the audio features of the copied segments after post-process...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-07-01
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| Series: | Complex & Intelligent Systems |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s40747-025-02017-1 |
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