9 citations · 16 across the 8 of their papers we have counts for
Showing 2022Show all
2 papers · 1 filter
cs.SD2022
Leveraging Heteroscedastic Uncertainty in Learning Complex Spectral Mapping for Single-channel Speech Enhancement
Kuan-Lin Chen, Daniel D. E. Wong, Ke Tan +3
Most speech enhancement (SE) models learn a point estimate and do not make use of uncertainty estimation in the learning process. In this paper, we show that modeling heteroscedast…
cs.LG2022★ 1 cited
Improved Bounds on Neural Complexity for Representing Piecewise Linear Functions
Kuan-Lin Chen, Harinath Garudadri, Bhaskar D. Rao
A deep neural network using rectified linear units represents a continuous piecewise linear (CPWL) function and vice versa. Recent results in the literature estimated that the numb…