Analysis of Beamforming Methods for Speech Enhancement

Nowadays, hands-free technology has been rapidly increasing in communication systems. It allows a natural form of communication, as if the communication partner was right next to you, the major problem in these systems is the addition of background noise. In this paper implemented beamforming methods for noise reduction in hands-free communication. A beamformer is an array of microphones, which can do spatial filtering. Speech data has been collected using linear microphone array and processed using delay-and-sum beamformer (DSB) and generalized side-lobe canceller (GSC) algorithms. The performance of these techniques analyzed using objective and subjective methods. It has been observed that the beamforming techniques are useful for hands-free communication. KeywordsSpeech Enhancement, Beamforming, Delay and Sum Beamformer, Generlized Sidelobe Canceller, Time Difference of Arrial