Xiao-Lei Zhang

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 …

ScriptChecker: To Tame Third-party Script Execution With Task Capabilities

2022

We present ScriptChecker, a novel browser-based framework to effectively and efficiently restrict third-party script execution according to the host web page's directives. Different from all existing schemes functioning at the JavaScript layer, ScriptChecker holistically harnesses …

MDD: A Mask Diffusion Detector to Protect Speaker Verification Systems from Adversarial Perturbations

2025

Speaker verification systems are increasingly deployed in security-sensitive applications but remain highly vulnerable to adversarial perturbations. In this work, we propose the Mask Diffusion Detector (MDD), a novel adversarial detection and purification framework based on …

HAMLET: A Hierarchical and Adaptive Multi-Agent Framework for Live Embodied Theatrics

2025 · ArXiv.org

Creating an immersive and interactive theatrical experience is a long-term goal in the field of interactive narrative. The emergence of large language models (LLMs) provides a new path to achieve this goal. However, existing drama …