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Spatial localization of concurrent multiple sound sources

机译:并发多个声源的空间本地化

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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:基于人类听觉系统的空间定位理论,我们提出了一种使用球形机器人头部的多个声源的空间定位。具有空间配置的麦克风阵列记录的空间声音矢量通过求解不同频带中的同时方程来估计空间到达时差向量的直方图。基于优先效应的回波避免模型用于减少环境混响的干扰,这为备小室内环境中的相位向量提供了强烈干扰。为了集成不同麦克风对的空间线索,我们提出了一种映射方法,从不同麦克风对之间的相关性与对应于方位角的3D地图和声源方向的高度。实验表明,该系统在方位提升本地化中提供声源的分布,甚至在混响环境中同时。

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