A contrastive audio-text framework detects hate speech in synthesized speech across six languages and outperforms baselines, with a new 127k-sample dataset.
These experiments address RO1 by demon- strating the effectiveness of our approach for multilingual deep- fake hate speech detection across diverse language groups
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Multimodal Zero-Shot Framework for Deepfake Hate Speech Detection in Low-Resource Languages
A contrastive audio-text framework detects hate speech in synthesized speech across six languages and outperforms baselines, with a new 127k-sample dataset.