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eess.AS2024★ 1 cited
Post-Training Embedding Alignment for Decoupling Enrollment and Runtime Speaker Recognition Models
Chenyang Gao, Brecht Desplanques, Chelsea J. -T. Ju +2
Automated speaker identification (SID) is a crucial step for the personalization of a wide range of speech-enabled services. Typical SID systems use a symmetric enrollment-verifica…
eess.AS2022★ 5 cited
Adversarial Reweighting for Speaker Verification Fairness
Minho Jin, Chelsea J. -T. Ju, Zeya Chen +3
We address performance fairness for speaker verification using the adversarial reweighting (ARW) method. ARW is reformulated for speaker verification with metric learning, and show…