AI RESEARCH
What and When to Learn: CURriculum Ranking Loss for Large-Scale Speaker Verification
arXiv CS.CL
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ArXi:2603.24432v1 Announce Type: cross Speaker verification at large scale remains an open challenge as fixed-margin losses treat all samples equally regardless of quality. We hypothesize that mislabeled or degraded samples