AI RESEARCH
ProKWS: Personalized Keyword Spotting via Collaborative Learning of Phonemes and Prosody
arXiv CS.AI
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ArXi:2603.18024v1 Announce Type: cross Current keyword spotting systems primarily use phoneme-level matching to distinguish confusable words but ignore user-specific pronunciation traits like prosody (intonation, stress, rhythm). This paper presents ProKWS, a novel framework integrating fine-grained phoneme learning with personalized prosody modeling. We design a dual-stream encoder where one stream derives robust phonemic representations through contrastive learning, while the other extracts speaker-specific prosodic patterns.