Shallow and deep feature fusion for digital audio tampering detection
Abstract Digital audio tampering detection can be used to verify the authenticity of digital audio. However, most current methods use standard electronic network frequency (ENF) databases for visual comparison analysis of ENF continuity of digital audio or perform feature extraction for classificati...
Main Authors: | Zhifeng Wang, Yao Yang, Chunyan Zeng, Shuai Kong, Shixiong Feng, Nan Zhao |
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Format: | Article |
Language: | English |
Published: |
SpringerOpen
2022-08-01
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Series: | EURASIP Journal on Advances in Signal Processing |
Subjects: | |
Online Access: | https://doi.org/10.1186/s13634-022-00900-4 |
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