NIST公司
规范化(社会学)
说话人验证
计算机科学
语音识别
说话人识别
人工智能
选择(遗传算法)
扩展(谓词逻辑)
模式识别(心理学)
自然语言处理
社会学
人类学
程序设计语言
作者
Douglas E. Sturim,Douglas A. Reynolds
出处
期刊:
[Institute of Electrical and Electronics Engineers]
日期:2006-10-11
卷期号:1: 741-744
被引量:100
标识
DOI:10.1109/icassp.2005.1415220
摘要
We discuss an extension to the widely used score normalization technique of test normalization (Tnorm) for text-independent speaker verification. A new method of speaker adaptive-Tnorm that offers advantages over the standard Tnorm by adjusting the speaker set to the target model is presented. Examples of this improvement using the 2004 NIST SRE data are also presented.
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