Minimum Variance Distortionless Response

Minimum Variance Distortionless Response (MVDR) beamforming is a signal processing technique aiming to enhance desired signals while minimizing interference, ensuring the target signal remains undistorted. Current research focuses on improving MVDR's robustness and efficiency through integration with deep learning models, particularly employing neural networks to estimate crucial parameters like noise covariance matrices and leveraging techniques like FastICA and multi-frame processing to enhance performance. These advancements are significantly impacting applications such as speech enhancement, acoustic echo cancellation, and augmented reality audio, leading to improved speech intelligibility and quality in challenging acoustic environments.