ProKWS: Personalized Keyword Spotting via Collaborative Learning of Phonemes and Prosody
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. A collaborative fusion module dynamically combines phonemic and prosodic information, enhancing adaptability across acoustic environments. Experiments show ProKWS delivers highly competitive performance...
| Authors | Jianan Pan, Yuanming Zhang, Kejie Huang |
|---|---|
| Primary category | eess.AS |
| Published | 5 March 2026 |
| Last updated at source | 5 March 2026 |
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