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Tokens Change, Structure Endures: Spectral Watermarking for Generated Speech

Lee, Kanghwi et al.
arXiv (All) · Papers
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computation-and-languagecryptography-and-securitysound
Watermarking is a promising tool for establishing the provenance of AI-generated speech. While many neural audio watermarking methods rely on a separately trained watermark generator, token-level watermarking is a training-free alternative that operates directly during generation. Its main weakness
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