2 citations · 3 across the 2 of their papers we have counts for
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cs.SD2023
Enhanced Neural Beamformer with Spatial Information for Target Speech Extraction
Aoqi Guo, Junnan Wu, Peng Gao +4
Recently, deep learning-based beamforming algorithms have shown promising performance in target speech extraction tasks. However, most systems do not fully utilize spatial informat…
cs.SD2023★ 2 cited
Exploring Representation Learning for Small-Footprint Keyword Spotting
Fan Cui, Liyong Guo, Quandong Wang +2
In this paper, we investigate representation learning for low-resource keyword spotting (KWS). The main challenges of KWS are limited labeled data and limited available device reso…
cs.SD2022★ 1 cited
Learning Decoupling Features Through Orthogonality Regularization
Li Wang, Rongzhi Gu, Weiji Zhuang +3
Keyword spotting (KWS) and speaker verification (SV) are two important tasks in speech applications. Research shows that the state-of-art KWS and SV models are trained independentl…