A multiple sound source localization and counting method based on an angular spectrum is proposed in this paper. Local signal-to-noise ratio tracking, onset detection, and a coherence test are introduced to filter the generalized cross-correlation angular spectrum in the time-frequency domain for multiple sound source localization and counting in noisy and reverberant environments. Then, dual-width matching pursuit is introduced to replace peak search as the method of localization and counting. A comprehensive comparison of two statistical indicators, mean precision and mean absolute estimated error, indicates that the proposed localization and counting algorithm using both the filtered angular spectrum and dual-width matching pursuit method is more robust and accurate than the classic counterpart, especially in environments with low signal-to-noise ratio, strong reverberation, and abundant sound sources.

中文翻译：

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在嘈杂和混响环境中使用一对麦克风进行多声源定位和计数

提出了一种基于角谱的多声源定位与计数方法。引入局部信噪比跟踪，开始检测和相干测试，以过滤时频域中的广义互相关角谱，以在噪声和混响环境中对多个声源进行定位和计数。然后，引入了双宽度匹配追踪来代替峰值搜索作为定位和计数的方法。对两个统计指标（平均精度和平均绝对估计误差）的全面比较表明，所提出的同时使用滤波角谱和双宽度匹配追踪方法的定位和计数算法比经典的对应算法更加健壮和准确，