Subspace-Based Speech Enhancement using Triangular Matrix Decomposition and Noise Variance Estimation
Author:
Affiliation:
1. Kharkiv National Air Force University,Faculty of Automated Control Systems and Ground Support of Aviation Flights,Kharkiv,Ukraine
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10238463/10238475/10238576.pdf?arnumber=10238576
Reference18 articles.
1. Model order selection for short data: An exponential fitting test (EFT);quinlan;EURASIP Journal on Applied Signal Processing,2007
2. Numerical Methods for Least Squares Problems
3. Noise Tracking Using DFT Domain Subspace Decompositions
4. Adaptive variant of the surrogate data technology for enhancing the effectiveness of signal spectral analysis using eigenstructure methods
5. ULV-Based Signal Subspace Methods for Speech Enhancement;hansen;Int Workshop Acoustic Echo Noise Control,1997
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1. Improving Speech Quality and Intelligibility using modified MV SSA and Noise Variance Tracking;2023 IEEE International Conference on Information and Telecommunication Technologies and Radio Electronics (UkrMiCo);2023-11-13
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