MATLAB Implementation of Wiener Filtering Following Beamforming for Microphone Array Speech Enhancement

MATLAB code for implementing Wiener filtering after beamforming in microphone array speech enhancement. Microphone arrays represent a sophisticated technique for improving speech signal quality by strategically positioning multiple microphones and employing beamforming algorithms to combine their signals. This approach effectively suppresses background noise while enhancing target speech signals. Wiener filtering serves as a powerful post-processing method that further refines speech quality by estimating and reducing residual noise components. This MATLAB implementation demonstrates the integration of beamforming and Wiener filtering techniques, featuring key functions for array signal processing, covariance matrix estimation, and adaptive filter design. The code includes comprehensive algorithmic explanations for delay-and-sum beamforming, noise power spectral density estimation, and Wiener filter coefficient calculation. By utilizing this code, researchers and engineers can learn practical implementation techniques for microphone array speech enhancement in MATLAB and apply these methods to various projects and research applications involving audio signal processing and noise reduction algorithms.