SpeakerRPL v2 reduces equal error rate from 1.28% to 0.09% (93% relative reduction) on a Vox1-O-like test set by integrating reciprocal points learning with logit normalization, adaptive anchor learning, and model fusion.
OpenFEAT: Improv- ing Speaker Identification by Open-Set Few-Shot Embedding Adaptation with Transformer
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SpeakerRPL v2: Robust Open-set Speaker Identification through Enhanced Few-shot Foundation Tuning and Model Fusion
SpeakerRPL v2 reduces equal error rate from 1.28% to 0.09% (93% relative reduction) on a Vox1-O-like test set by integrating reciprocal points learning with logit normalization, adaptive anchor learning, and model fusion.