xxuan-speech/MCL-MLAAD
Introduction MCL-MLAAD is the first multilingual benchmark for speech deepfake source tracing. It spans mono- and cross-lingual protocols, includes DSP and SSL baselines, studies language-specific fine-tuning for cross-lingual generalization, and tests robustness to unseen languages/speakers. See arXiv:2508.04143. Download the Dataset Install the datasets package: pip install datasets Log in with your Hugging Face account: huggingface-cli login Load the… See the full description on the dataset page: https://huggingface.co/datasets/xxuan-speech/MCL-MLAAD.
| Author / organization | xxuan-speech |
|---|---|
| License (as declared) | mit |
| Downloads | 336 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 5 October 2025 |
| Last updated at source | 13 October 2025 |
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- 17 Oct 2026 Description: Introduction MCL-MLAAD is the first multilingual benchmark for speech deepfake source tracing. It spans mono- and cross-lingual protocols, includes DSP and SSL baselines, studies language-specific fine-tuning for cross-lingual generalizatio → Introduction MCL-MLAAD is the first multilingual benchmark for speech deepfake source tracing. It spans mono- and cross-lingual protocols, includes DSP and SSL baselines, studies language-specific fine-tuning for cross-lingual generalizatio
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