A UNIFIED SPEECH ENHANCEMENT FRONT-END FOR ONLINE DEREVERBERATION, ACOUSTIC ECHO CANCELLATION, AND SOURCE SEPARATION
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Updated
Jun 18, 2022 - MATLAB
A UNIFIED SPEECH ENHANCEMENT FRONT-END FOR ONLINE DEREVERBERATION, ACOUSTIC ECHO CANCELLATION, AND SOURCE SEPARATION
IVA: Independent Vector Analysis implementation
X. Wang, Y. Zhong, L. Zhang, and Y. Xu, “Spatial Group Sparsity Regularized Nonnegative Matrix Factorization for Hyperspectral Unmixing,” IEEE Transactions on Geoscience and Remote Sensing, vol. 55, no. 11, pp.6287-6304, 2017.
A New Perspective of Auxiliary-Function-Based Independent Component Analysis in Acoustic Echo Cancellation
Joint Estimation of Frequency, Amplitude and Spectrum
Directional sparse filtering for blind speech separation
Matlab GUI for uREPET, a simple user interface system for recovering patterns repeating in time and frequency in mixtures of sounds.
Localization of brain sources measured by EEG using 3 approaches: Gibbs sampler (Markov chain Monte Carlo algorithm), Minimum Norm Estimates (MNE) and Source Imaging based on Structured Sparsity (SISSY)
Extract the independant sources with Composite Approximate Joint Diagonalization (CAJD) for linear/bilinear data models
Retina Imaging Toolbox (RIT)
Matlab GUIs to demo the original REPET and REPET-SIM.
Mutual information least-dependent component analysis
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