FASTICA-Based Speech Signal Separation MATLAB Source Code

The FASTICA speech signal separation MATLAB source code represents a widely-used signal processing technique for separating mixed audio signals. Based on the principles of Independent Component Analysis (ICA), this implementation performs linear transformations and optimization procedures to recover original source signals from their mixtures. The code employs a fixed-point iteration algorithm that maximizes non-Gaussianity through approximate negentropy calculations, typically using hyperbolic tangent or cubic nonlinearity functions for robust convergence. This MATLAB implementation provides researchers and engineers with practical tools to understand and apply speech separation techniques, offering functions for signal preprocessing, whitening, ICA core computation, and signal reconstruction. The source code serves as an effective methodology for developing speech separation applications, featuring configurable parameters for maximum iterations, tolerance thresholds, and nonlinearity selection to handle various acoustic environments.