8 citations · 11 across the 2 of their papers we have counts for
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eess.AS2024
Time-Graph Frequency Representation with Singular Value Decomposition for Neural Speech Enhancement
Tingting Wang, Tianrui Wang, Meng Ge +3
Time-frequency (T-F) domain methods for monaural speech enhancement have benefited from the success of deep learning. Recently, focus has been put on designing two-stream network m…
eess.AS2024★ 1 cited
An Empirical Study on the Impact of Positional Encoding in Transformer-based Monaural Speech Enhancement
Qiquan Zhang, Meng Ge, Hongxu Zhu +4
Transformer architecture has enabled recent progress in speech enhancement. Since Transformers are position-agostic, positional encoding is the de facto standard component used to…
eess.AS2022★ 3 cited
MIMO-DoAnet: Multi-channel Input and Multiple Outputs DoA Network with Unknown Number of Sound Sources
Haoran Yin, Meng Ge, Yanjie Fu +5
Recent neural network based Direction of Arrival (DoA) estimation algorithms have performed well on unknown number of sound sources scenarios. These algorithms are usually achieved…