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Famous Figures: Collecting, Curating, and Annotating Good Quality Speech Deepfake Dataset for Famous Figures — Process and Challenges
Interspeech 2025
Abstract
Current audio deepfake detection systems fail to protect specific individuals from targeted voice spoofing attacks.A comprehensive methodology for collecting, curating, and generating high-quality speech datasets specifically designed to protect political figures.
Salient Features of our Dataset
✓ Speaker-specific protection
✓ 8-second average duration
✓ Transcription-based segmentation
✓ Natural sentence boundaries
✓ Superior synthesis quality
Acknowledgement
This work uses only public‑domain or licensed speech sources of public figures. Audio clips are included for research/educational demonstration; rights remain with original owners. Please see the paper for data collection ethics and licensing details.
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