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
Python machine learning applications in image processing, recommender system, matrix completion, netflix problem and algorithm implementations including Co-clustering, Funk SVD, SVD++, Non-negative Matrix Factorization, Koren Neighborhood Model, Koren Integrated Model, Dawid-Skene, Platt-Burges, Expectation Maximization, Factor Analysis, ISTA, F…
IVA: Independent Vector Analysis implementation
A New Perspective of Auxiliary-Function-Based Independent Component Analysis in Acoustic Echo Cancellation
Workflow to download, process, and explore microbial RNA-seq data from NCBI SRA
Heart Rate Detection using Web Camera
ICA-AROMA, as a Python package. A work in progress.
This repository contains lecture notes and codes for the course "Computational Methods for Data Science"
Preprocessing toolbox for rat rs-fMRI data
A Python library for blind source separation.
Source localization and connectivity analysis of high-density EEG data
Several maximum likelihood ICA algorithms, including Picard
Independent component analysis for dimensionality reduction of hyperspectral images
Face Recognition using Independent Component Analysis (ICA)
MNE-preprocessing is a python repository to reduce artifacts based on basic and unanimous approaches step by step from electroencephalographic (EEG) raw data.
A blind source separation package using non-negative matrix factorization and non-negative ICA
Hierarchical approach to Stabilised Independent Component Analysis
For collaboration in ECSE 444
Face Recognition with SVM classifier using PCA, ICA, NMF, LDA reduced face vectors
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