Comprehensive multiparametric analysis of human deepfake speech recognition
Abstract In this paper, we undertake a novel two-pronged investigation into the human recognition of deepfake speech, addressing critical gaps in existing research. First, we pioneer an evaluation of the impact of prior information on deepfake recognition, setting our work apart by simulating real-w...
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| Auteurs principaux: | , , , , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
SpringerOpen
2024-08-01
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| Collection: | EURASIP Journal on Image and Video Processing |
| Sujets: | |
| Accès en ligne: | https://doi.org/10.1186/s13640-024-00641-4 |
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