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20172024
most citedRevisiting the Master-Slave Architecture in Multi-Agent Deep Reinforcement Learning

46 citations · 57 across the 7 of their papers we have counts for

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cs.SD2023★ 1 cited

DasFormer: Deep Alternating Spectrogram Transformer for Multi/Single-Channel Speech Separation

Shuo Wang, Xiangyu Kong, Xiulian Peng +3

For the task of speech separation, previous study usually treats multi-channel and single-channel scenarios as two research tracks with specialized solutions developed respectively…

cs.SD2022

Multi-Modal Multi-Correlation Learning for Audio-Visual Speech Separation

Xiaoyu Wang, Xiangyu Kong, Xiulian Peng +1

In this paper we propose a multi-modal multi-correlation learning framework targeting at the task of audio-visual speech separation. Although previous efforts have been extensively…