Background population: how does it affect LR based forensic voice comparison?
Background population: how does it affect LR based forensic voice comparison?
复制标题
背景人群：它如何影响基于 LR 的法医语音比较？
DOI：
10.1558/ijsll.v21i2.191
复制
发表时间：
2015
影响因子：
0.4
通讯作者：
S. Ishihara
中科院分区：
文献类型：
--
作者：
Y. Kinoshita;S. Ishihara
本文研究了背景人口的规模在多大程度上以及以何种方式影响基于似然比 (LR) 的法医语音比较的结果。虽然已知样本大小会影响统计建模的准确性，但在法医语音比较背景下的具体影响尚不清楚。法医语音比较分析师需要使用有限的数据，但尚不清楚这可能会对基于 LR 的证据评估产生如何影响。在本文中，我们报告了使用不同大小的背景人群数据集进行的基于 LR 的说话人比较实验。他们使用源自长期 F0 分布的特征。我们检查了它们在准确性（接近真实值）和精密度（再现性）方面的性能。
This article investigates to what extent and in what ways the size of the background population affects the outcome of likelihood ratio (LR) based forensic voice comparison. While sample size is known to affect the accuracy of statistical modelling, specific effects in the context of forensic voice comparison are not yet understood. Forensic voice comparison analysts need to work with limited data, but it is unclear how this might impact on the LR-based evaluation of evidence. In this article, we report LR-based speaker comparison experiments using variously sized datasets for background population. They use features derived from long term F0 distribution. We examined their performance in terms of accuracy (closeness to the true value) and precision (reproducibility).