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This paper revisits audio steganography from a new perspective and proposes a self-embedding strategy in which a clean speech signal embeds a compressed representation of itself, enabling post-hoc extraction of reference content.
Experiments across four controlled manipulation types under ideal channel conditions show that the embedded payload, and hence an approximate reconstruction of the authentic content, is always fully recovered without bit errors, and the results indicate that the choice of neural codec is the dominant factor for detecti...
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