20 citations · 22 across the 10 of their papers we have counts for
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cs.SD2023
Self-Supervised Disentangled Representation Learning for Robust Target Speech Extraction
Zhaoxi Mu, Xinyu Yang, Sining Sun +1
Speech signals are inherently complex as they encompass both global acoustic characteristics and local semantic information. However, in the task of target speech extraction, certa…
cs.SD2023★ 1 cited
Multi-Dimensional and Multi-Scale Modeling for Speech Separation Optimized by Discriminative Learning
Zhaoxi Mu, Xinyu Yang, Wenjing Zhu
Transformer has shown advanced performance in speech separation, benefiting from its ability to capture global features. However, capturing local features and channel information o…
cs.SD2023★ 1 cited
A Multi-Stage Triple-Path Method for Speech Separation in Noisy and Reverberant Environments
Zhaoxi Mu, Xinyu Yang, Xiangyuan Yang +1
In noisy and reverberant environments, the performance of deep learning-based speech separation methods drops dramatically because previous methods are not designed and optimized f…