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Kanghwi Lee

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#machine learning Preprint Sep 2026

Tokens Change, Structure Endures: Spectral Watermarking for Generated Speech

Redwing is proposed, a design principle for robust token-level watermarking that generalizes to TTS models at a speech-quality cost close to that of KGW and shows that retokenization is not merely a source of noise: its transition structure can be exploited as a design principle for robust token-level watermarking.

Kanghwi Lee, Kyeongseok Jeong, Jeongmin Liu · 0 citations

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