Sung Hwan Mun

Improving Learning Objectives for Speaker Verification from the Perspective of Score Comparison

Deep speaker embedding systems are usually trained with classification-based or end-to-end learning objectives. Popular end-to-end approaches utilize deep metric learning, which can be viewed as a few-shot classification objective. In this paper, we investigate the limit of conventional learning obj…