DMA-KWS achieves 97.85% AUC and 6.13% EER on LibriPhrase Hard via dual-stage CTC/QbyT matching, multi-modal enrollment, and lightweight continual adaptation with 187k parameters.
Bridging the gap between audio and text using parallel-attention for user-defined keyword spotting
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Effective User-defined Keyword Spotting with Dual-stage Matching, Multi-modal Enrollment, and Continual Adaptation
DMA-KWS achieves 97.85% AUC and 6.13% EER on LibriPhrase Hard via dual-stage CTC/QbyT matching, multi-modal enrollment, and lightweight continual adaptation with 187k parameters.