36 citations · 83 across the 13 of their papers we have counts for
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eess.AS2020★ 2 cited
A Unified Deep Speaker Embedding Framework for Mixed-Bandwidth Speech Data
Weicheng Cai, Ming Li
This paper proposes a unified deep speaker embedding framework for modeling speech data with different sampling rates. Considering the narrowband spectrogram as a sub-image of the…
eess.AS2020
Within-sample variability-invariant loss for robust speaker recognition under noisy environments
Danwei Cai, Weicheng Cai, Ming Li
Despite the significant improvements in speaker recognition enabled by deep neural networks, unsatisfactory performance persists under noisy environments. In this paper, we train t…
eess.AS2020★ 8 cited
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…