MALEFA reaches 90% accuracy and 0.007% false alarm rate on AMI for zero-shot KWS via cross-attention and multi-granularity contrastive learning while running efficiently on constrained hardware.
U2-KWS: Unified two-pass open-vocabulary keyword spotting with keyword bias
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MALEFA: Multi-grAnularity Learning and Effective False Alarm Suppression for Zero-shot Keyword Spotting
MALEFA reaches 90% accuracy and 0.007% false alarm rate on AMI for zero-shot KWS via cross-attention and multi-granularity contrastive learning while running efficiently on constrained hardware.