Latest algorithm solutions for sound source localization have dramatically increased their computation burden. This paper proposes a novel hybrid algorithm with the ability to adapt its search spectrum based on target movement; we also show some studies and metrics to analyze its implementation constraints and remark its advantages over previous solutions. The proposed algorithm provides a good balance between processing power and real-time execution; our approach combines the General Cross Correlation (GCC) with the Delay and Sum Beamforming (DSB) algorithm, such that, less than 50% of thee DSB computation is necessary to locate the sound source.
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