Alan Papir

Generalized End-to-End Loss for Speaker Verification

2017 · arXiv (Cornell University)

In this paper, we propose a new loss function called generalized end-to-end (GE2E) loss, which makes the training of speaker verification models more efficient than our previous tuple-based end-to-end (TE2E) loss function. Unlike TE2E, the …