Zhongxin Bai

Partial AUC optimization based deep speaker embeddings with class-center learning for text-independent speaker verification

2019 · arXiv (Cornell University)

Deep embedding based text-independent speaker verification has demonstrated superior performance to traditional methods in many challenging scenarios. Its loss functions can be generally categorized into two classes, i.e., verification and identification. The verification loss functions …

Speaker Recognition Based on Deep Learning: An Overview

2020 · arXiv (Cornell University)

Speaker recognition is a task of identifying persons from their voices. Recently, deep learning has dramatically revolutionized speaker recognition. However, there is lack of comprehensive reviews on the exciting progress. In this paper, we review …