Single-channel speech enhancement based on adaptive low-rank matrix decomposition
C Li, T Jiang, S Wu, J Xie - IEEE Access, 2020 - ieeexplore.ieee.org
The low-rank matrix decomposition (LMD) algorithm based on the maximum correntropy
criterion (MCC) has recently shown its superiority to other algorithms in classification (eg …
criterion (MCC) has recently shown its superiority to other algorithms in classification (eg …
Musical noise suppression using a low-rank and sparse matrix decomposition approach
J Sadasivan, JK Dhiman, CS Seelamantula - Speech Communication, 2020 - Elsevier
We address the problem of suppressing musical noise from speech enhanced using a short-
time processing algorithm. Enhancement algorithms rely on noise statistics and errors in …
time processing algorithm. Enhancement algorithms rely on noise statistics and errors in …
[PDF][PDF] A Revisit to Speech Processing and Analysis
A Mohanty, RC Cherukuri - International Journal Of Computer …, 2020 - academia.edu
Speech recognition is an active area in signal processing. Various researchers have been
invested different concepts in speech recognition system as part of feature extraction …
invested different concepts in speech recognition system as part of feature extraction …
A Novel Frequency Domain Linearly Constrained Minimum Variance Filter for Speech Enhancement
S Kammi - International Journal of Engineering, 2020 - ije.ir
A reliable speech enhancement method is important for speech applications as a pre-
processing step to improve their overall performance. In this paper, we propose a novel …
processing step to improve their overall performance. In this paper, we propose a novel …