19 citations · 32 across the 4 of their papers we have counts for
6 papers
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…
Sparsely Overlapped Speech Training in the Time Domain: Joint Learning of Target Speech Separation and Personal VAD Benefits
Qingjian Lin, Lin Yang, Xuyang Wang +3
Target speech separation is the process of filtering a certain speaker's voice out of speech mixtures according to the additional speaker identity information provided. Recent work…
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…
Atss-Net: Target Speaker Separation via Attention-based Neural Network
Tingle Li, Qingjian Lin, Yuanyuan Bao +1
Recently, Convolutional Neural Network (CNN) and Long short-term memory (LSTM) based models have been introduced to deep learning-based target speaker separation. In this paper, we…
DIHARD II is Still Hard: Experimental Results and Discussions from the DKU-LENOVO Team
Qingjian Lin, Weicheng Cai, Lin Yang +3
In this paper, we present the submitted system for the second DIHARD Speech Diarization Challenge from the DKULENOVO team. Our diarization system includes multiple modules, namely…
LSTM based Similarity Measurement with Spectral Clustering for Speaker Diarization
Qingjian Lin, Ruiqing Yin, Ming Li +2
More and more neural network approaches have achieved considerable improvement upon submodules of speaker diarization system, including speaker change detection and segment-wise sp…