Performance Investigation of Acoustic Microphone Array Beamformer to Enhance the Speech Quality

The acoustic microphone array beamformer nowadays is an emergent instrument that is applied in loud surroundings to emphasize a particular sound among interferences, echoes, flanges, and reverberations. The adaptivity of the Uniform Linear Microphone Array (ULMA) beamforming system has been considered with the unwanted signal. The performance of conventional time delay and Frost degrade than the Frost with fixed diagonal loading (FDL). In look direction error the Frost and Frost with FDL decreases its performance. The proposed diagonal loading adds adaptability against the arrival path mismatch. The proposed adaptive beamformer is not only adaptive against look direction error but also able to give a high array gain. MATLAB is used for simulations of the proposed method.