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RVCBench RVCBench is a benchmark dataset for studying robustness in voice cloning, text-to-speech, speaker privacy, audio protection, adversarial audio perturbations, and related audio generation pipelines. Dataset page: Code repository: Paper: RVCBench is designed for evaluating how modern voice cloning (VC), TTS, and audio generation systems behave under… See the full description on the dataset page:

Source: Hugging Face Hub (Nanboy/RVCBench). Metadata imported from the dataset’s Hub tags.

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