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Voice disguise and automatic speaker recognition.

机译:语音伪装和自动说话人识别。

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摘要

In this paper a newly developed Forensic Automatic Speaker Recognition System (FASRS) was introduced and the effect of 10 types of voice disguises that are common in forensic casework on the performance of this system was studied. In this study 10 types of disguised voices and normal voices from 20 male college students were used as test samples. Each disguised voice was compared with all normal voices in the database to make speaker identification and speaker verification. The result of speaker recognition is summarized and the influence of voice disguises on the FASRS is evaluated.
机译:本文介绍了新开发的法医自动说话人识别系统(FASRS),并研究了法医案件中常见的10种语音掩饰对系统性能的影响。在这项研究中,来自20位男大学生的10种伪装声音和正常声音被用作测试样本。将每个伪装的语音与数据库中的所有正常语音进行比较,以进行说话人识别和说话人验证。总结了说话人识别的结果,并评估了语音掩盖对FASRS的影响。

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