For multiple sound source localization and counting under noisy and reverberant environment, two modules, local signal-to-noise ratio tracking and coherence test, were introduced to extract the time-frequency bins less affected by noise and mutual interference of the sound sources in classical generalized cross-correlation angular spectrum; then the traditional peak search method was replaced by the dual-width matching pursuit to improve the following localization and counting accuracy.Through the simulation results, the proposed algorithm of multiple sound source localization and counting using both the filtered angular spectrum and dual-width matching pursuit method is proved to be more accurate and robust than the traditional one, especially under the environment with lower signal-to-noise ratio, stronger reverberation and more sound sources.%针对混响及噪声环境下的多声源定位与计数问题,引入局部信噪比追踪及相关性检测模块,提取出传统广义互相关角度谱中受噪声及声源互扰影响较小的时频支撑域;同时引入双宽度匹配追踪方法替代传统的峰值搜索,改进后续定位与计数的精确度.仿真研究验证了综合应用滤波后的角度谱及双宽度匹配追踪的多声源定位与计数算法相比传统算法在较低信噪比、较强混响以及较多声源数的环境中更加精确及稳健.
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