3 citations · 4 across the 2 of their papers we have counts for
3 papers
eess.AS2021★ 3 cited
Incorporating Multi-Target in Multi-Stage Speech Enhancement Model for Better Generalization
Lu Zhang, Mingjiang Wang, Andong Li +2
Recent single-channel speech enhancement methods based on deep neural networks (DNNs) have achieved remarkable results, but there are still generalization problems in real scenes.…
eess.AS2021★ 1 cited
Deep Interaction between Masking and Mapping Targets for Single-Channel Speech Enhancement
Lu Zhang, Mingjiang Wang, Zehua Zhang +1
The most recent deep neural network (DNN) models exhibit impressive denoising performance in the time-frequency (T-F) magnitude domain. However, the phase is also a critical compon…
eess.AS2019
Monaural Speech Enhancement Using a Multi-Branch Temporal Convolutional Network
Qiquan Zhang, Aaron Nicolson, Mingjiang Wang +2
Deep learning has achieved substantial improvement on single-channel speech enhancement tasks. However, the performance of multi-layer perceptions (MLPs)-based methods is limited b…