A review on adaptive beamforming techniques for speech enhancement
S. Siva Priyanka · 2017 Innovations in Power and Advanced Computing Technologies (i-PACT) · 2017
This paper presents a review on adaptive Beamforming techniques for speech enhancement. Most of the speech enhancement techniques suffer from degradation of quality of speech signal in various noise and reverberant fields. In order to improve the speech enhancement in noisy environments, Adaptive beamforming techniques plays a prominent role. Many researchers have shown that shown adaptive beamformer techniques are better compared to fixed beamformer. This paper aim is to present a review and comparison of different adaptive beamforming algorithms like LCMV (Least Constrained Minimum Variance), MVDR (Minimum Variance Distortion Less), GSC (Generalized Side Lobe Canceller), and Speech Distortion and Interference Rejection Constraint beamformer (SDIRC).