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What You Train Is What You Get: Gender Bias, Training Composition, and Post-Hoc Mitigation in Audio Deepfake Detection

A study on the ASVspoof5 dataset reveals how gender composition in training data affects the performance and bias of audio deepfake detection models.

Impact
38/100
Current rank score
2.26
Source tier
Tier 1
Category
Research
Read the full story at arxiv.org

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