ALEXANDRIA, Va., Jan. 13 -- United States Patent no. 12,525,244, issued on Jan. 13, was assigned to Pindrop Security Inc. (Atlanta).

"End-to-end speaker recognition using deep neural network" was invented by Elie Khoury (Atlanta) and Matthew Garland (Atlanta).

According to the abstract* released by the U.S. Patent & Trademark Office: "The present invention is directed to a deep neural network (DNN) having a triplet network architecture, which is suitable to perform speaker recognition. In particular, the DNN includes three feed-forward neural networks, which are trained according to a batch process utilizing a cohort set of negative training samples. After each batch of training samples is processed, the DNN may be trained according to a ...