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首页> 外文期刊>Forensic science international >The effect of mismatched recording conditions on human and automatic speaker recognition in forensic applications.
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The effect of mismatched recording conditions on human and automatic speaker recognition in forensic applications.

机译：录音条件不匹配对司法鉴定应用中的人和自动说话者识别的影响。

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摘要

In this paper, we analyse mismatched technical conditions in training and testing phases of speaker recognition and their effect on forensic human and automatic speaker recognition. We use perceptual tests performed by non-experts and compare their performance with that of a baseline automatic speaker recognition system. The degradation of the accuracy of human recognition in mismatched recording conditions is contrasted with that of the automatic system under similar recording conditions. The conditions considered are of public switched telephone network (PSTN) and global system for mobile communications (GSM) transmission and background noise. The perceptual cues that the human subjects use to perceive differences in voices are studied along with their importance in different conditions. We discuss the possibility of increasing the accuracy of automatic systems using the perceptual cues that remain robust to mismatched conditions. We estimate the strength of evidence for both humans and automatic systems, calculating likelihood ratios using the perceptual scores for humans and the log-likelihood scores for automatic systems.
机译：在本文中，我们分析了说话人识别的训练和测试阶段中不匹配的技术条件，以及它们对司法人员和自动说话人识别的影响。我们使用非专家进行的感知测试，并将其性能与基线自动说话人识别系统的性能进行比较。在不匹配的记录条件下，人类识别准确性的下降与在类似记录条件下自动系统的下降形成了对比。考虑的条件是公用电话交换网（PSTN）和全球移动通信系统（GSM）的传输和背景噪声。研究了人类对象用来感知声音差异的感知线索及其在不同条件下的重要性。我们讨论了使用对不匹配条件保持鲁棒的感知线索来提高自动系统的准确性的可能性。我们估计人类和自动系统的证据强度，使用人类的感知分数和自动系统的对数似然分数来计算似然比。

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