activity
20202022
most citedThe DKU-DukeECE-Lenovo System for the Diarization Task of the 2021 VoxCeleb Speaker Recognition Challenge

19 citations · 25 across the 5 of their papers we have counts for

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7 papers · 1 filter

eess.AS20221 cited

Waveform Boundary Detection for Partially Spoofed Audio

Zexin Cai, Weiqing Wang, Ming Li

The present paper proposes a waveform boundary detection system for audio spoofing attacks containing partially manipulated segments. Partially spoofed/fake audio, where part of th…

eess.AS20224 cited

The DKU-DukeECE Diarization System for the VoxCeleb Speaker Recognition Challenge 2022

Weiqing Wang, Xiaoyi Qin, Ming Cheng +3

This paper discribes the DKU-DukeECE submission to the 4th track of the VoxCeleb Speaker Recognition Challenge 2022 (VoxSRC-22). Our system contains a fused voice activity detectio…

eess.AS2022

Cross-Channel Attention-Based Target Speaker Voice Activity Detection: Experimental Results for M2MeT Challenge

Weiqing Wang, Xiaoyi Qin, Ming Li

In this paper, we present the speaker diarization system for the Multi-channel Multi-party Meeting Transcription Challenge (M2MeT) from team DKU_DukeECE. As the highly overlapped s…

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…