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In-the-Wild: A Deepfake Detection Dataset
Resource type
Authors/contributors
- Müller, Nicolas M. (Author)
- Czempin, Pavel (Author)
- Dieckmann, Franziska (Author)
- Froghyar, Adam (Author)
- Böttinger, Konstantin (Author)
Title
In-the-Wild: A Deepfake Detection Dataset
Abstract
The In-the-Wild dataset contains real and synthetic speech recordings of 58 celebrities and politicians, collected from online videos.
It provides a realistic benchmark for testing how well audio deepfake detection models generalize beyond laboratory data such as ASVspoof.
Task: Audio Classification (Deepfake / Genuine)
Languages: English
Modality: Audio
Size: 37.9 hours total
17.2 hours fake
20.7 hours real
Citation Key
_be
Citation
Müller, N. M., Czempin, P., Dieckmann, F., Froghyar, A., & Böttinger, K. (n.d.). In-the-Wild: A Deepfake Detection Dataset [Dataset]. Retrieved https://huggingface.co/datasets/mueller91/In-The-Wild
Audio Data
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