关键词: 可控响应功率, 麦克风阵列, 声源定位, 互相关, 多级区域收缩

Abstract:

The Steered Response Power(SRP)-based acoustic source localization algorithm with microphone arrays has been shown to be robust in noisy and reverberant environments. However, grid-search methods used to find a global maximum of the SRP image are computationally-intensive. In this paper, we propose a different strategy where, instead of the SRP at discrete spatial positions, the average of multiple Cross-Correlation(CC) values is evaluated as a cost function. The multi-stage region contraction is then used to find the maximum of the cost function to reduce the computational burden. The determination of CC accumulation limits does not increase the amount of calculation significantly. For incorporating additional spatial knowledge at each search grid, the proposed algorithm allows for a coarser spatial grid and reduces the computational cost with almost no loss of accuracy. Experiments carried out under different acoustic conditions confirm the validity of the proposed approach.

Key words: steered response power, microphone arrays, acoustic source localization, cross correlation, multi-stage region contraction