Beamforming in Speech Processing

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Abstract

Beamforming is a technique that enhances speech signal quality by directing the reception or transmission of sound waves, playing a crucial role in speech signal processing. Traditional beamforming algorithms, such as Minimum Variance Distortionless Response (MVDR), as well as recent deep learning-based methods like ADL-MVDR, have been widely applied. This article aims to introduce the principles, implementation, and advantages and disadvantages of various mainstream beamforming algorithms.

Introduction

Tranditional Beamforming

Deep Learning-Based Beamforming

MVDR

MVDR Implementation

ADL-MVDR

ADL-MVDR Implementation

Discussion

Conclusion