Active noise control for real time blind speech mining using single-channel noise

摘要

Spatial beamformers are capable of enhancing the quality of speech in extreme noisy environments. This research paper shows a result using a method called low complexity single-channel noise reduction for the reason of strong blind speech removal in extreme noisy environments which is incorporated into responsive direct loop of an adaptive blind beamformer. The given shared system describe each of the individual techniques by means of SIR (signal-to-interference ratio) enhancement for a broad range of functioning orders and at the same time the noise with in the speech is reasonably stumpy. Moreover, the hardware of a given model is relatively not suitable extra processing load.