10 citations · 13 across the 6 of their papers we have counts for
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cs.CL2021
Dr-Vectors: Decision Residual Networks and an Improved Loss for Speaker Recognition
Jason Pelecanos, Quan Wang, Ignacio Lopez Moreno
Many neural network speaker recognition systems model each speaker using a fixed-dimensional embedding vector. These embeddings are generally compared using either linear or 2nd-or…
cs.CL2016
The IBM Speaker Recognition System: Recent Advances and Error Analysis
Seyed Omid Sadjadi, Jason Pelecanos, Sriram Ganapathy
We present the recent advances along with an error analysis of the IBM speaker recognition system for conversational speech. Some of the key advancements that contribute to our sys…