activity
20182021
most citedThe DKU-DukeECE-Lenovo System for the Diarization Task of the 2021 VoxCeleb Speaker Recognition Challenge

19 citations · 42 across the 8 of their papers we have counts for

collaborators
Showing eess.ASShow all

11 papers · 1 filter

eess.AS202110 cited

The DKU-DukeECE System for the Self-Supervision Speaker Verification Task of the 2021 VoxCeleb Speaker Recognition Challenge

Danwei Cai, Ming Li

This report describes the submission of the DKU-DukeECE team to the self-supervision speaker verification task of the 2021 VoxCeleb Speaker Recognition Challenge (VoxSRC). Our meth…

eess.AS202119 cited

The DKU-DukeECE-Lenovo System for the Diarization Task of the 2021 VoxCeleb Speaker Recognition Challenge

Weiqing Wang, Danwei Cai, Qingjian Lin +4

This report describes the submission of the DKU-DukeECE-Lenovo team to the VoxCeleb Speaker Recognition Challenge (VoxSRC) 2021 track 4. Our system including a voice activity detec…

eess.AS20211 cited

The DKU-Duke-Lenovo System Description for the Third DIHARD Speech Diarization Challenge

Weiqing Wang, Qingjian Lin, Danwei Cai +2

In this paper, we present the submitted system for the third DIHARD Speech Diarization Challenge from the DKU-Duke-Lenovo team. Our system consists of several modules: voice activi…

eess.AS2020

An iterative framework for self-supervised deep speaker representation learning

Danwei Cai, Weiqing Wang, Ming Li

In this paper, we propose an iterative framework for self-supervised speaker representation learning based on a deep neural network (DNN). The framework starts with training a self…

eess.AS2020

The DKU-DukeECE Systems for VoxCeleb Speaker Recognition Challenge 2020

Weiqing Wang, Danwei Cai, Xiaoyi Qin +1

In this paper, we present the system submission for the VoxCeleb Speaker Recognition Challenge 2020 (VoxSRC-20) by the DKU-DukeECE team. For track 1, we explore various kinds of st…

eess.AS2020

Within-sample variability-invariant loss for robust speaker recognition under noisy environments

Danwei Cai, Weicheng Cai, Ming Li

Despite the significant improvements in speaker recognition enabled by deep neural networks, unsatisfactory performance persists under noisy environments. In this paper, we train t…