Papers with neural audio watermarking

1 papers
IDEAW: Robust Neural Audio Watermarking with Invertible Dual-Embedding (2024.emnlp-main)

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Challenge: Traditional methods for embedding watermarks into audio have low capacity and unsatisfactory imperceptibility.
Approach: They propose a dual-embedding wa- termarking model for efficient locating and a model that can withstand attacks.
Outcome: The proposed model can withstand attacks with higher capacity and more efficient locating ability compared to existing methods.

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