A Normalized Beamforming Algorithm for Broadband Speech Using a Continuous Interleaved Sampling Strategy

The delay beamforming method, one of the most effective microphone array techniques, requires minimal computational complexity and enjoys wide usage in narrowband signal applications. However, the method suffers from high losses of low-frequency sound and is generally not suitable for broadband signals. In this paper, a novel normalized beamforming algorithm is introduced for broadband speech applications in multichannel cochlear implant (CI), which can be adjusted based on application conditions. The proposed algorithm can, with minimal computational complexity, accurately and effectively compensate for changes in signal beam pattern, in accordance with a preselected benchmark. In addition, this method can be combined with the widely used continuous interleaved sampling (CIS) strategy, adding to its practical value.