23 citations · 25 across the 3 of their papers we have counts for
4 papers
On TasNet for Low-Latency Single-Speaker Speech Enhancement
Morten Kolbæk, Zheng-Hua Tan, Søren Holdt Jensen +1
In recent years, speech processing algorithms have seen tremendous progress primarily due to the deep learning renaissance. This is especially true for speech separation where the…
On Loss Functions for Supervised Monaural Time-Domain Speech Enhancement
Morten Kolbæk, Zheng-Hua Tan, Søren Holdt Jensen +1
Many deep learning-based speech enhancement algorithms are designed to minimize the mean-square error (MSE) in some transform domain between a predicted and a target speech signal.…
Accelerated gradient methods for total-variation-based CT image reconstruction
Jakob Heide Jørgensen, Tobias Lindstrøm Jensen, Per Christian Hansen +3
Total-variation (TV)-based Computed Tomography (CT) image reconstruction has shown experimentally to be capable of producing accurate reconstructions from sparse-view data. In part…
Implementation of an Optimal First-Order Method for Strongly Convex Total Variation Regularization
Tobias Lindstrøm Jensen, Jakob Heide Jørgensen, Per Christian Hansen +1
We present a practical implementation of an optimal first-order method, due to Nesterov, for large-scale total variation regularization in tomographic reconstruction, image deblurr…