Speech Separation using FastICA
Classic implementation of FastICA for speech separation in MATLAB
Maximum SNR-Based Speech Separation Algorithm
Speech separation program optimized for maximum signal-to-noise ratio, featuring implementation details suitable for technical adaptation
Speech Separation Using MATLAB - Computational Auditory Scene Analysis Approach
Speech separation algorithm based on Computational Auditory Scene Analysis (CASA), which attempts to simulate human auditory psychological and physiological processes through computer technology, enabling computers to process sounds (separate and interpret) similarly to human ears. This emerging interdisciplinary research topic involves signal processing techniques including gammatone filtering, pitch tracking, and binary masking implementation.