2023
Probabilistic Back-ends for Online Speaker Recognition and Clustering
ICASSP 2023accepted
This paper focuses on multi-enrollment speaker recognition which naturally occurs in the task of online speaker clustering, and studies the properties of different scoring back-ends in this scenario. First, we show that popular cosine scoring suffers from poor score calibration with a varying number…