24 citations · 26 across the 3 of their papers we have counts for
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eess.AS2023
Personalized speech enhancement combining band-split RNN and speaker attentive module
Xiaohuai Le, Li Chen, Chao He +4
Target speaker information can be utilized in speech enhancement (SE) models to more effectively extract the desired speech. Previous works introduce the speaker embedding into spe…
eess.AS2022★ 2 cited
A light-weight full-band speech enhancement model
Qinwen Hu, Zhongshu Hou, Xiaohuai Le +1
Deep neural network based full-band speech enhancement systems face challenges of high demand of computational resources and imbalanced frequency distribution. In this paper, a lig…