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Improved Direct-path Dominance Test for Speaker Localization in Reverberant Environments

机译:混响环境中用于说话人定位的改进的直接路径优势测试

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Speaker localization in real environments is a fundamental task for many audio signal processing applications. Many localization methods fail when the environment imposes challenging conditions, such as reverberation. Recently, a method for direction of arrival (DOA) estimation of speakers in reverberant environments was developed, which utilizes spherical arrays. This method uses the direct-path dominance (DPD) test to select time-frequency bins that contain spatial information on the direct sound. In this work, it is shown that when the threshold of the DPD test is lowered to select more bins for the estimation process, it falsely identifies bins dominated by reverberant sound, reducing DOA estimation accuracy. In this paper, a new DPD test is developed, which evaluates the extent to which the measured plane-wave density can be represented by a single plane-wave. While being more computationally expensive than the original test, it is more robust to reverberation, and leads to an improved DOA estimation. The latter is demonstrated by simulations of a speaker in a reverberant room.
机译:实际环境中的扬声器本地化是许多音频信号处理应用程序的基本任务。当环境施加具有挑战性的条件(例如混响)时,许多本地化方法都会失败。最近,开发了一种在混响环境中估计扬声器到达方向(DOA)的方法,该方法利用了球形阵列。此方法使用直接路径优势(DPD)测试来选择包含有关直接声音的空间信息的时频箱。在这项工作中,显示出当降低DPD测试的阈值以选择更多的bin用于估计过程时,它会错误地识别出由混响声音主导的bin,从而降低了DOA估计的准确性。在本文中,开发了一种新的DPD测试,该测试评估了可以用单个平面波表示测得的平面波密度的程度。尽管与原始测试相比在计算上更加昂贵,但它对混响更健壮,并导致改进的DOA估计。后者通过在混响室内模拟扬声器来演示。

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