Shallow and deep feature fusion for digital audio tampering detection

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...

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Bibliographic Details
Main Authors: Zhifeng Wang, Yao Yang, Chunyan Zeng, Shuai Kong, Shixiong Feng, Nan Zhao
Format: Article
Language:English
Published: SpringerOpen 2022-08-01
Series:EURASIP Journal on Advances in Signal Processing
Subjects:
Electronic network frequency
Audio forensics
Deep learning
Feature fusion
Online Access:https://doi.org/10.1186/s13634-022-00900-4

Internet

https://doi.org/10.1186/s13634-022-00900-4

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