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Exploiting Structures of Temporal Causality for Robust Speaker Localization in Reverberant Environments

机译:利用时间因果结构在混响环境中进行稳健的说话人本地化

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This paper introduces a framework for robust speaker localization in reverberant environments based on a causal analysis of the temporal relationship between direct sound and corresponding reflections. It extends previously proposed localization approaches for spherical microphone arrays based on a direct-path dominance test. So far, these methods are applied in the time-frequency domain without considering the temporal context of direction-of-arrival measurements. In this work, a causal analysis of the temporal structure of subsequent directions-of-arrival estimates based on the Granger causality test is proposed. The cause-effect relationship between estimated directions is modeled via a causal graph, which is used to distinguish the direction of the direct sound from corresponding reflections. An experimental evaluation in simulated acoustic environments shows that the proposed approach yields an improvement in localization performance especially in highly reverberant conditions.
机译:本文基于对直接声音和相应反射之间时间关系的因果分析,介绍了一种在混响环境中稳健说话人定位的框架。它扩展了以前基于直接路径优势测试为球形麦克风阵列提出的定位方法。到目前为止,这些方法已应用于时频域,而无需考虑到达方向测量的时间范围。在这项工作中,提出了基于格兰杰因果关系检验的后续到达方向估计的时间结构的因果分析。估计方向之间的因果关系通过因果图建模,该因果图用于将直接声音的方向与相应的反射区分开。在模拟声学环境中的实验评估表明,所提出的方法特别是在高混响条件下,可以改善定位性能。

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