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Qingjian Lin
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LSTM based similarity measurement with spectral clustering for speaker diarization
Q Lin, R Yin, M Li, H Bredin, C Barras
arXiv preprint arXiv:1907.10393, 2019
592019
Atss-net: Target speaker separation via attention-based neural network
T Li, Q Lin, Y Bao, M Li
arXiv preprint arXiv:2005.09200, 2020
142020
DIHARD II is still hard: Experimental results and discussions from the DKU-LENOVO team
Q Lin, W Cai, L Yang, J Wang, J Zhang, M Li
arXiv preprint arXiv:2002.12761, 2020
132020
Self-Attentive Similarity Measurement Strategies in Speaker Diarization.
Q Lin, Y Hou, M Li
INTERSPEECH, 284-288, 2020
112020
The dku-dukeece-lenovo system for the diarization task of the 2021 voxceleb speaker recognition challenge
W Wang, D Cai, Q Lin, L Yang, J Wang, J Wang, M Li
arXiv preprint arXiv:2109.02002, 2021
62021
The DKU Speech Activity Detection and Speaker Identification Systems for Fearless Steps Challenge Phase-02.
Q Lin, T Li, M Li
INTERSPEECH, 2607-2611, 2020
52020
Sparsely overlapped speech training in the time domain: Joint learning of target speech separation and personal vad benefits
Q Lin, L Yang, X Wang, L Xie, C Jia, J Wang
2021 Asia-Pacific Signal and Information Processing Association Annual …, 2021
42021
Optimal Mapping Loss: A Faster Loss for End-to-End Speaker Diarization.
Q Lin, T Li, L Yang, J Wang, M Li
Odyssey, 125-131, 2020
32020
The DKU-Duke-Lenovo System Description for the Third DIHARD Speech Diarization Challenge
W Wang, Q Lin, D Cai, L Yang, M Li
arXiv preprint arXiv:2102.03649, 2021
22021
The DKU-Duke-Lenovo System Description for the Fearless Steps Challenge Phase III.
W Wang, D Cai, J Wang, Q Lin, X Wang, M Hong, M Li
Interspeech, 1044-1048, 2021
12021
Towards Lightweight Applications: Asymmetric Enroll-Verify Structure for Speaker Verification
Q Li, L Yang, X Wang, X Qin, J Wang, M Li
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
2022
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