Qingjian Lin
Cited by
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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
Atss-net: Target speaker separation via attention-based neural network
T Li, Q Lin, Y Bao, M Li
arXiv preprint arXiv:2005.09200, 2020
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
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
Self-attentive similarity measurement strategies in speaker diarization.
Q Lin, Y Hou, M Li
INTERSPEECH, 284-288, 2020
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
Similarity measurement of segment-level speaker embeddings in speaker diarization
W Wang, Q Lin, D Cai, M Li
IEEE/ACM Transactions on Audio, Speech, and Language Processing 30, 2645-2658, 2022
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
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
Online target speaker voice activity detection for speaker diarization
W Wang, Q Lin, M Li
arXiv preprint arXiv:2207.05920, 2022
Low-latency online speaker diarization with graph-based label generation
Y Zhang, Q Lin, W Wang, L Yang, X Wang, J Wang, M Li
arXiv preprint arXiv:2111.13803, 2021
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
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
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
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