Experimental evaluation of the joint position-pitch estimation (POPI) algorithm in noisy environments

T. Habib, M. Képesi, L. Ottowitz
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引用次数: 4

Abstract

This paper proposes an enhancement and evaluates the performance of a recently proposed method for joint extraction of pitch and direction of arrival for speaker localization. We propose a new weighting function in order to suppress the cross-terms of the aforementioned method. The performance of the method is evaluated by measuring the correct estimate of position at a frame level. This evaluation analyzes the limits of the method at different background noise levels by using real world recordings. The results show that the proposed algorithm gives more consistent location estimates leading to a reduction in angular deviation by 4.23deg at -3 dB SNR.
噪声环境下联合位置-基音估计(POPI)算法的实验评价
本文对最近提出的一种联合提取基音和到达方向的说话人定位方法进行了改进,并对其性能进行了评价。为了抑制上述方法的交叉项,我们提出了一个新的加权函数。通过测量帧级位置的正确估计来评估该方法的性能。本评估分析了该方法在不同背景噪声水平下的局限性,并使用了真实世界的记录。结果表明,在-3 dB信噪比下,该算法给出了更一致的位置估计,使角偏差减少了4.23度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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