activity
20192022
most citedThe DKU-DukeECE-Lenovo System for the Diarization Task of the 2021 VoxCeleb Speaker Recognition Challenge

19 citations · 95 across the 29 of their papers we have counts for

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25 papers · 1 filter

eess.AS20225 cited

Deepfake Detection System for the ADD Challenge Track 3.2 Based on Score Fusion

Yuxiang Zhang, Jingze Lu, Xingming Wang +5

This paper describes the deepfake audio detection system submitted to the Audio Deep Synthesis Detection (ADD) Challenge Track 3.2 and gives an analysis of score fusion. The propos…

eess.AS2022

The 2022 Far-field Speaker Verification Challenge: Exploring domain mismatch and semi-supervised learning under the far-field scenario

Xiaoyi Qin, Ming Li, Hui Bu +2

FFSVC2022 is the second challenge of far-field speaker verification. FFSVC2022 provides the fully-supervised far-field speaker verification to further explore the far-field scenari…

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.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.AS20212 cited

Building Bilingual and Code-Switched Voice Conversion with Limited Training Data Using Embedding Consistency Loss

Yaogen Yang, Haozhe Zhang, Xiaoyi Qin +4

Building cross-lingual voice conversion (VC) systems for multiple speakers and multiple languages has been a challenging task for a long time. This paper describes a parallel non-a…