Sound Source Localization Based On Microphone Array Research

Microphone array can be employed for speaker localization in videoconference. However, background noise and room reverberations in enclosure greatly degrade the effectiveness of acoustic source localization. In addition to high accuracy, the location estimator must be computationally no demanding in order to be useful for real-time tracking and beamforming. Aiming at these difficulties, two methods for speaker localization using microphone array are discussed in this paper: delay and sum beamforming, time delay estimation and geometry localization. Then a new method by combining beamforming with GCC is presented to efficiently suppress the noise and reverberation.What is more, the improvement to GCC-PHAT algorithm is also developed, specifically usefulness to background noise and room reverberation elimination.In the end, a new system for microphone array speaker localization, which can suppress noise and reverberation, are presented in the paper. The result of computer simulation shows that the new algorithm outperforms other algorithm such as beamforming or LMS adaptive filter.