A Lite Microphone Array Beamforming Scheme with Maximum Signal-to-Noise Ratio Filter

TL;DR

This paper proposes a simplified microphone array beamforming method using a maximum SNR filter that leverages source localization and IVA, achieving higher SINR gains with reduced complexity.

Contribution

A concise beamforming scheme utilizing maximum SNR filter with DOA estimation and IVA, reducing complexity while improving performance.

Findings

Higher SINR gain compared to existing algorithms.

Reduced computational complexity in beamforming.

Effective use of DOA and IVA for signal enhancement.

Abstract

Since space-domain information can be utilized, microphone array beamforming is often used to enhance the quality of the speech by suppressing directional disturbance. However, with the increasing number of microphone, the complexity would be increased. In this paper, a concise beamforming scheme using Maximum Signal-to-Noise Ratio (SNR) filter is proposed to reduce the beamforming complexity. The maximum SNR filter is implemented by using the estimated direction-of-arrival (DOA) of the speech source localization (SSL) and the solving method of independent vector analysis (IVA). Our experiments show that when compared with other widely-used algorithms, the proposed algorithm obtain higher gain of signal-to-interference and noise ratio (SINR).