no code implementations • 19 Mar 2023 • Zirui Ge, Haiyan Guo, Zhen Yang
The GNN takes all the output features as the graph signal data and extracts the related graph structure information of features for speaker recognition.
no code implementations • 28 Mar 2022 • Zirui Ge, Haiyan Guo, Tingting Wang, Zhen Yang
In this paper, we propose to design universal IIR graph filters with low computational complexity by using three kinds of functions, which are Butterworth, Chebyshev, and Elliptic functions, respectively.
no code implementations • 12 Jan 2022 • Zirui Ge, Haiyan Guo, Tingting Wang, Zhen Yang
Furthermore, the optimal time-vertex graph filter in fractional domains is also developed, using the graph fractional Laplacian operator and graph fractional Fourier transform.
no code implementations • 15 Jun 2020 • Xue Yan, Zhen Yang, Tingting Wang, Haiyan Guo
In this paper, we investigate the application of graph signal processing (GSP) theory in speech enhancement.