Blind Source Separation of Speech Signals in Real Environments

This is the latest program code for blind source separation of speech signals in real environments, implementing Independent Component Analysis (ICA) for speech signal processing. After extraction, simply run the program with recorded mixed speech signals as input to observe the separation results. The code employs advanced ICA algorithms to extract independent components from mixed audio sources.