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ResCapsGuard

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audio-deepfake-detection
speech
asvspoof
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  [![EER% 1.86 on ASVspoof2019_LA](https://img.shields.io/badge/EER%25%20on%20ASVspoof2019__LA-1.86%25-brightgreen)](https://huggingface.co/spaces/SpeechAntiSpoofingBenchmarks/SpeechAntiSpoofingArena?system=rescapsguard)
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  [![EER% 54.55 on CD-ADD](https://img.shields.io/badge/EER%25%20on%20CD--ADD-54.55%25-red)](https://huggingface.co/spaces/SpeechAntiSpoofingBenchmarks/SpeechAntiSpoofingArena?system=rescapsguard)
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  [![EER% 55.92 on InTheWild](https://img.shields.io/badge/EER%25%20on%20InTheWild-55.92%25-red)](https://huggingface.co/spaces/SpeechAntiSpoofingBenchmarks/SpeechAntiSpoofingArena?system=rescapsguard)
 
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  [![arena tier](https://img.shields.io/endpoint?url=https://speechantispoofingbenchmarks-speechantispoofingarena.hf.space/badge/rescapsguard/tier.json)](https://huggingface.co/spaces/SpeechAntiSpoofingBenchmarks/SpeechAntiSpoofingArena?system=rescapsguard)
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  [![arena rank](https://img.shields.io/endpoint?url=https://speechantispoofingbenchmarks-speechantispoofingarena.hf.space/badge/rescapsguard/rank.json)](https://huggingface.co/spaces/SpeechAntiSpoofingBenchmarks/SpeechAntiSpoofingArena?system=rescapsguard)
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@@ -69,6 +70,7 @@ crop), so the numbers are exactly reproducible from the pinned score file.
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  | ASVspoof2019_LA | test | **1.86** | 71,237 | 0 | in-domain (training data) |
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  | CD-ADD | test | **54.55** | 20,786 | 0 | out-of-domain (modern neural-TTS); does not generalize |
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  | InTheWild | test | **55.92** | 31,779 | 0 | out-of-domain (real-world deepfakes); does not generalize |
 
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  The ASVspoof2019_LA result reproduces near the paper's reported 2.25 % on the LA eval
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  set; the deterministic window (vs. the paper's random crop) accounts for the small
 
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  [![EER% 1.86 on ASVspoof2019_LA](https://img.shields.io/badge/EER%25%20on%20ASVspoof2019__LA-1.86%25-brightgreen)](https://huggingface.co/spaces/SpeechAntiSpoofingBenchmarks/SpeechAntiSpoofingArena?system=rescapsguard)
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  [![EER% 54.55 on CD-ADD](https://img.shields.io/badge/EER%25%20on%20CD--ADD-54.55%25-red)](https://huggingface.co/spaces/SpeechAntiSpoofingBenchmarks/SpeechAntiSpoofingArena?system=rescapsguard)
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  [![EER% 55.92 on InTheWild](https://img.shields.io/badge/EER%25%20on%20InTheWild-55.92%25-red)](https://huggingface.co/spaces/SpeechAntiSpoofingBenchmarks/SpeechAntiSpoofingArena?system=rescapsguard)
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+ [![EER% 18.70 on ASVspoof2021_LA](https://img.shields.io/badge/EER%25%20on%20ASVspoof2021__LA-18.70%25-yellow)](https://huggingface.co/spaces/SpeechAntiSpoofingBenchmarks/SpeechAntiSpoofingArena?system=rescapsguard)
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  [![arena tier](https://img.shields.io/endpoint?url=https://speechantispoofingbenchmarks-speechantispoofingarena.hf.space/badge/rescapsguard/tier.json)](https://huggingface.co/spaces/SpeechAntiSpoofingBenchmarks/SpeechAntiSpoofingArena?system=rescapsguard)
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  [![arena rank](https://img.shields.io/endpoint?url=https://speechantispoofingbenchmarks-speechantispoofingarena.hf.space/badge/rescapsguard/rank.json)](https://huggingface.co/spaces/SpeechAntiSpoofingBenchmarks/SpeechAntiSpoofingArena?system=rescapsguard)
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  | ASVspoof2019_LA | test | **1.86** | 71,237 | 0 | in-domain (training data) |
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  | CD-ADD | test | **54.55** | 20,786 | 0 | out-of-domain (modern neural-TTS); does not generalize |
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  | InTheWild | test | **55.92** | 31,779 | 0 | out-of-domain (real-world deepfakes); does not generalize |
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+ | ASVspoof2021_LA | test | **18.70** | 181,566 | 0 | cross-dataset generalization |
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  The ASVspoof2019_LA result reproduces near the paper's reported 2.25 % on the LA eval
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  set; the deterministic window (vs. the paper's random crop) accounts for the small