Voice Comparison(语音比较)研究综述
Voice Comparison 语音比较 - This paper presents an evaluation of the commercial forensic automatic speaker recognition system, VOCALISE (Voice Comparison and Analysis of the Likelihood of Speech Evidence) (Alexander et al. [1]本文介绍了对商业法医自动说话人识别系统 VOCALISE（语音证据可能性的语音比较和分析）的评估（Alexander 等人。 [1]
Forensic Voice Comparison 法医语音比较
This chapter provides a brief introduction to forensic voice comparison. [1] This study investigates the dynamic acoustic properties of 19 vocalic sequences of Standard Peninsular Spanish, showing their potential for forensic voice comparison. [2] The 2010 edition had a heavy focus on acoustic-phonetic statistical approaches to forensic voice comparison. [3] Within the field of forensic voice comparison (FVC), there is growing pressure for experts to demonstrate the validity and reliability of the conclusions they reach in casework. [4] 1, were tested within the setting of the Speech Communication virtual special issue “Multi-laboratory evaluation of forensic voice comparison systems under conditions reflecting those of a real forensic case (forensic_eval_01). [5] As part of the Speech Communication virtual special issue “Multi-laboratory evaluation of forensic voice comparison systems under conditions reflecting those of a real forensic case (forensic_eval_01)” two automatic speaker recognition systems developed by the company Phonexia were tested. [6] The present paper describes a statistical modeling procedure that was developed to account for the fact that, in a forensic voice comparison analysis conducted for a particular case, there was a long time interval between when the questioned- and known-speaker recordings were made (six years), but in the sample of the relevant population used for training and testing the forensic voice comparison system there was a short interval (hours to days) between when each of multiple recordings of each speaker was made. [7] Findings of the current study are particularly relevant for forensic voice comparison tasks when a mismatch in speaking languages in trace and suspect materials is present. [8]本章简要介绍取证语音比较。 [1] 本研究调查了标准半岛西班牙语 19 个声乐序列的动态声学特性，展示了它们在法医语音比较方面的潜力。 [2] 2010 版重点关注法医语音比较的声学语音统计方法。 [3] 在法医语音比较 (FVC) 领域，专家们越来越大的压力要求他们证明他们在案例工作中得出的结论的有效性和可靠性。 [4] 1，在语音通信虚拟特刊“法医语音比较系统的多实验室评估在反映真实法医案例的条件下进行测试 (forensic_eval_01)。 [5] 作为语音通信虚拟特刊“在反映真实法医案例条件下的法医语音比较系统的多实验室评估 (forensic_eval_01)”的一部分，测试了由 Phonexia 公司开发的两个自动说话人识别系统。 [6] 本论文描述了一种统计建模程序，该程序旨在解释以下事实：在针对特定案件进行的法医语音比较分析中，在制作被质疑和已知说话人录音之间存在很长的时间间隔（六年），但在用于训练和测试法医语音比较系统的相关人群样本中，对每个说话者进行多次录音的时间间隔很短（几小时到几天）。 [7] 当追踪和可疑材料中的口语语言不匹配时，当前研究的结果与法医语音比较任务特别相关。 [8]
voice comparison task 语音比较任务
We study whether listener decisions could similarly be controlled to provoke more accept (or reject) decisions, by framing the voice comparison task in different ways. [1] Findings of the current study are particularly relevant for forensic voice comparison tasks when a mismatch in speaking languages in trace and suspect materials is present. [2]我们研究是否可以通过以不同方式构建语音比较任务来类似地控制听众的决定以引发更多的接受（或拒绝）决定。 [1] 当追踪和可疑材料中的口语语言不匹配时，当前研究的结果与法医语音比较任务特别相关。 [2]
voice comparison system 语音比较系统
1, were tested within the setting of the Speech Communication virtual special issue “Multi-laboratory evaluation of forensic voice comparison systems under conditions reflecting those of a real forensic case (forensic_eval_01). [1] As part of the Speech Communication virtual special issue “Multi-laboratory evaluation of forensic voice comparison systems under conditions reflecting those of a real forensic case (forensic_eval_01)” two automatic speaker recognition systems developed by the company Phonexia were tested. [2]1，在语音通信虚拟特刊“法医语音比较系统的多实验室评估在反映真实法医案例的条件下进行测试 (forensic_eval_01)。 [1] 作为语音通信虚拟特刊“在反映真实法医案例条件下的法医语音比较系统的多实验室评估 (forensic_eval_01)”的一部分，测试了由 Phonexia 公司开发的两个自动说话人识别系统。 [2]