SHEEP, GOATS, LAMBS and WOLVES A Statistical Analysis of Speaker Performance in the NIST 1998 Speaker Recognition Evaluation
SHEEP, GOATS, LAMBS and WOLVES A Statistical Analysis of Speaker Performance in the NIST 1998 Speaker Recognition Evaluation
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绵羊、山羊、羔羊和狼 NIST 1998 说话人识别评估中说话人表现的统计分析
DOI：
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发表时间：
1998
期刊：
影响因子：
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通讯作者：
D. Reynolds
中科院分区：
文献类型：
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作者：
G. Doddington;Walter Liggett;Alvin F. Martin;Mark A. Przybocki;D. Reynolds
语音和说话人识别系统的性能变化可以归因于许多因素。一个主要的因素，这是经常承认，但很少分析，是固有的差异，在识别不同的发言者。在说话人识别系统中，这种差异的特征在于对不同类型的说话人使用动物名称，包括绵羊、山羊、羔羊和狼，这取决于它们相对于自动识别系统的行为。在本文中，我们提出了这些动物的存在的统计测试，并应用这些测试来寻找这样的动物使用的结果从1998年NIST的说话人识别评估。
Performance variability in speech and speaker recognition systems can be attributed to many factors. One major factor, which is often acknowledged but seldom analyzed, is inherent differences in the recognizability of different speakers. In speaker recognition systems such differences are characterized by the use of animal names for different types of speakers, including sheep , goats , lambs and wolves , depending on their behavior with respect to automatic recognition systems. In this paper we propose statistical tests for the existence of these animals and apply these tests to hunt for such animals using results from the 1998 NIST speaker recognition evaluation.