Audio Deepfake Detection Using Deep Learning

ABSTRACT This study introduces an enhanced Siamese convolutional neural network (Siamese CNN) architecture with a novel StacLoss function and self‐attention modules for efficient identification of audio deepfakes. Our module directly compares unprocessed original audio with modified audio by initial...

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Bibliographic Details
Main Authors: Ousama A. Shaaban, Remzi Yildirim
Format: Article
Language:English
Published: Wiley 2025-03-01
Series:Engineering Reports
Subjects:
Online Access:https://doi.org/10.1002/eng2.70087
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