32 citations · 34 across the 5 of their papers we have counts for
5 papers
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…
Speaker Recognition Using Isomorphic Graph Attention Network Based Pooling on Self-Supervised Representation
Zirui Ge, Xinzhou Xu, Haiyan Guo +2
The emergence of self-supervised representation (i.e., wav2vec 2.0) allows speaker-recognition approaches to process spoken signals through foundation models built on speech data.…
Universal Graph Filter Design based on Butterworth, Chebyshev and Elliptic Functions
Zirui Ge, Haiyan Guo, Tingting Wang +1
Graph filters are crucial tools in processing the spectrum of graph signals. In this paper, we propose to design universal IIR graph filters with low computational complexity by us…
Optimal Fractional Fourier Filtering in Time-vertex Graphs signal processing
Zirui Ge, Haiyan Guo, Tingting Wang +1
Graph signal processing (GSP) is an effective tool in dealing with data residing in irregular domains. In GSP, the optimal graph filter is one of the essential techniques, owing to…
An Iterative Graph Spectral Subtraction Method for Speech Enhancement
Xue Yan, Zhen Yang, Tingting Wang +1
In this paper, we investigate the application of graph signal processing (GSP) theory in speech enhancement. We first propose a set of shift operators to construct graph speech sig…