杂波丛林中猕猴桃叫声到达方向估计

Craig Gray, Yusuke Hioka
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引用次数: 0

摘要

本文概述了在存在噪声和混响的情况下使用麦克风阵列准确执行几维鸟叫声声源定位所采取的步骤。研究并实现了利用PHAT加权函数的混响阻力的广义互相关作为系统的一部分。为了降低相关噪声,研究了谱减法和维纳滤波,并分析了它们在系统中的适用性。提出了一种利用猕猴桃叫声的谐波结构来判断是否存在猕猴桃叫声的新算法。在混响和噪声环境下,本文方法的估计精度优于前人的研究,平均误差为4.18°。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Direction of arrival estimation of kiwi call in noisy and reverberant bush
This paper outlines the steps taken to accurately perform acoustic source localisation of kiwi calls using microphone arrays in the presence of noise and reverberation. A generalised cross correlation exploiting the reverberation resistance of the PHAT weighting function was investigated and implemented as part of the system. To reduce correlated noise, spectral subtraction and Wiener filtering were investigated, and their suitability in the system was analysed. A novel algorithm exploiting the harmonic structure of the kiwi call is proposed to determine whether or not a kiwi call is present. In a reverberant and noisy environment, the proposed method outperformed the previous study in terms of the estimation accuracy, which had an average deviation of 4.18°.
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