garystafford/deepfake-audio-detection
Deepfake Audio Detection Dataset (v4) Dataset Description This dataset contains 1,866 audio samples (933 real, 933 synthetic) for training deepfake audio detection models. It is specifically designed for binary classification tasks to distinguish between authentic human speech and AI-generated synthetic audio. What's New in v4 52% larger: Increased from 1,224 to 1,866 samples (642 new samples) Expanded TTS coverage: Added Hume AI as 6th synthetic… See the full description on the dataset page: https://huggingface.co/datasets/garystafford/deepfake-audio-detection.
| Author / organization | garystafford |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 1.4K (as reported by Hugging Face) |
| Likes | 7 |
| Created | 24 December 2025 |
| Last updated at source | 28 December 2025 |
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Connected in the knowledge graph
- garystafford/wav2vec2-deepfake-voice-detectorModel · used to train
- zodumair/wav2vec2-deepfake-voice-detectorModel · used to train
Recent changes
- 16 Oct 2026 Description: Deepfake Audio Detection Dataset (v4) Dataset Description This dataset contains 1,866 audio samples (933 real, 933 synthetic) for training deepfake audio detection models. It is specifically designed for binary classification tasks to disti → Deepfake Audio Detection Dataset (v4) Dataset Description This dataset contains 1,866 audio samples (933 real, 933 synthetic) for training deepfake audio detection models. It is specifically designed for binary classification tasks to disti
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