This paper systematically reviews the types of audio forgery, detection principles, authoritative datasets and evaluation indicators, compares and analyzes traditional detection methods with deep learning detection techniques, and points out the core challenges in generalization, robustness, etc. of current methods.
Minglei Zhu· Mathematical Modeling and Al...· 0 citations
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