AudioMarkBench: Benchmarking Robustness of Audio Watermarking

The increasing realism of synthetic speech, driven by advancements in text-tospeech models, raises ethical concerns regarding impersonation and disinformation. Audio watermarking offers a promising solution via embedding humanimperceptible watermarks into AI-generated audios. However, the robustness of audio watermarking against common/adversarial perturbations remains understudied.