关键词: 麦克风阵列, 声源定位, 声源跟踪, AEDA算法, LMS算法

Abstract: Sound source localization and tracking has turned to be one of hotspots in acoustic signal processing area in recent years. It is widely adopted in a lot of applications, such as multimedia conference, intelligent robot, speech enhancement, etc. Adaptive Eigenvalue Deposition Algorithm (AEDA) is one of the effective methods for its robustness performance of noise and reverberation. However, AEDA is suffered from its slowness in tracking variation of time delay of arrival (TDOA) as well as its sensitivity to initial value. Faced with such problems, a Modified Adaptive Eigenvalue Decomposition Algorithm (MAEDA) for time delay estimation is proposed, based on which an emulation system is developed. Experimental results show that the proposed new algorithm works well in sound source location and moving sound source tracking, meanwhile, it overcomes the drawbacks of the traditional AEDA algorithm.

Key words: microphone array, sound localization, sound tracking, ADEA algorithm, LMS algorithm