GSC Beamforming using Different Adaptive Algorithms for Speech Enhancement
S. Siva Priyanka, T. K. Satish Kumar · 2019
This paper presents speech enhancement using Generalized Sidelobe Canceller (GSC) beamforming with different adaptive algorithms to improve the quality of speech signal in a noisy environment. GSC beamforming provides spatial filtering to enhance the desired signal from various noisy environments. In this paper, GSC beamformer with Least Mean Square (LMS), Normalized LMS (NLMS) and Recursive least square (RLS) are implemented and their performance is evaluated under various noisy conditions. From the simulation results, it can be deduced that the GSC beamformer with RLS achieves better performance compared to GSC with LMS, and NLMS algorithms. The performance metrics like Signal to Noise Ratio (SNR), Perceptual Evaluation of Speech Quality (PESQ) and Log Likelihood Ratio (LLR) are used to validate our results.