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Spatial localization of concurrent multiple sound sources

机译:并发多个声源的空间定位

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Based on the human auditory system for spatial localization theory, we proposed a spatial localization of multiple sound sources using a spherical robot head. Space sound vectors recorded by a microphone array with spatial configuration, are used to estimate the histograms of spatial arrival time difference vectors by solving the simultaneous equations in different frequency bands. The echo avoidance model based on precedence effect is used to reduce the interference of environment reverberations which provide the strong interference for phase vectors especially in small indoor environments. To integrate spatial cues of different microphone pairs, we propose a mapping method from the correlation between different microphone pairs to a 3D map corresponding to azimuth and elevation of sound sources directions. Experiments indicate that the system provides the distribution of sound source in azimuth-elevation localization, even concurrently in reverberant environments.
机译:基于用于空间定位理论的人类听觉系统,我们提出了使用球形机器人头对多个声源进行空间定位的方法。由具有空间配置的麦克风阵列记录的空间声音矢量用于通过求解不同频带中的联立方程来估计空间到达时间差矢量的直方图。基于优先效应的回波避免模型用于减少环境混响的干扰,这对相位矢量尤其是在小型室内环境中提供了强烈的干扰。为了整合不同麦克风对的空间线索,我们提出了一种从不同麦克风对之间的相关性映射到与声源方向的方位角和仰角相对应的3D映射的映射方法。实验表明,该系统即使在混响环境中也可以在方位角高程定位中提供声源的分布。

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