9 citations · 12 across the 5 of their papers we have counts for
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3 papers · 1 filter
eess.AS2021★ 2 cited
LiMuSE: Lightweight Multi-modal Speaker Extraction
Qinghua Liu, Yating Huang, Yunzhe Hao +2
Multi-modal cues, including spatial information, facial expression and voiceprint, are introduced to the speech separation and speaker extraction tasks to serve as complementary in…
eess.AS2021
WASE: Learning When to Attend for Speaker Extraction in Cocktail Party Environments
Yunzhe Hao, Jiaming Xu, Peng Zhang +1
In the speaker extraction problem, it is found that additional information from the target speaker contributes to the tracking and extraction of the target speaker, which includes…
cs.SD2021★ 1 cited
MIMO Self-attentive RNN Beamformer for Multi-speaker Speech Separation
Xiyun Li, Yong Xu, Meng Yu +4
Recently, our proposed recurrent neural network (RNN) based all deep learning minimum variance distortionless response (ADL-MVDR) beamformer method yielded superior performance ove…