activity
20202023
most citedThe DKU-DukeECE Systems for VoxCeleb Speaker Recognition Challenge 2020

22 citations · 57 across the 15 of their papers we have counts for

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Showing 2022Show all

6 papers · 1 filter

eess.AS2022★ 1 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.AS2022★ 4 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★ 2 cited

Target-Speaker Voice Activity Detection via Sequence-to-Sequence Prediction

Ming Cheng, Weiqing Wang, Yucong Zhang +2

Target-speaker voice activity detection is currently a promising approach for speaker diarization in complex acoustic environments. This paper presents a novel Sequence-to-Sequence…

eess.AS2022

Online Target Speaker Voice Activity Detection for Speaker Diarization

Weiqing Wang, Qingjian Lin, Ming Li

This paper proposes an online target speaker voice activity detection system for speaker diarization tasks, which does not require a priori knowledge from the clustering-based diar…

eess.AS2022★ 1 cited

Simultaneous Speech Extraction for Multiple Target Speakers under the Meeting Scenarios

Bang Zeng, Hongbing Suo, Yulong Wan +1

The common target speech separation directly estimate the target source, ignoring the interrelationship between different speakers at each frame. We propose a multiple-target speec…

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…