A Lite Microphone Array Beamforming Scheme with Maximum Signal-to-Noise Ratio Filter
This work addresses complexity reduction in speech enhancement for audio processing applications, but it appears incremental as it builds on existing methods like DOA estimation and IVA.
The paper tackles the problem of high computational complexity in microphone array beamforming by proposing a concise scheme using a Maximum Signal-to-Noise Ratio filter, which achieves higher signal-to-interference and noise ratio gains compared to other algorithms.
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).