[논문] Generalized End-to-End Loss for Speaker Verification
https://arxiv.org/abs/1710.10467 Generalized End-to-End Loss for Speaker Verification 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 GE2E loss functi arxiv.org 해당 논문을 보고 작성했습니다. Abstract 저자들은 generalized e..
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2024. 2. 5.