AI RESEARCH
HyWA: Hypernetwork Weight Adapting Personalized Voice Activity Detection
arXiv CS.AI
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ArXi:2510.12947v2 Announce Type: replace-cross Personalized Voice Activity Detection (PVAD) systems activate only in response to a specific target speaker. Speaker-conditioning methods are employed to inject information about the target speaker into a VAD pipeline, to achieve personalization. Existing speaker-conditioning methods typically modify the inputs or activations of a VAD model. We propose an alternative perspective to speaker conditioning. Our approach, HyWA, employs a hypernetwork to generate personalized weights for a few selected layers of a standard VAD model.