AI RESEARCH
Few-Shot Contrastive Adaptation for Audio Abuse Detection in Low-Resource Indic Languages
arXiv CS.CL
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ArXi:2604.09094v1 Announce Type: cross Abusive speech detection is becoming increasingly important as social media shifts towards voice-based interaction, particularly in multilingual and low-resource settings. Most current systems rely on automatic speech recognition (ASR) followed by text-based hate speech classification, but this pipeline is vulnerable to transcription errors and discards prosodic information carried in speech. We investigate whether Contrastive Language-Audio Pre-