A new speaker verification method with global speaker model and likelihood score normalization

被引：0
|
作者：
Yiying Zhang
Xiaoyan Zhu
Zhang Bo
机构：
[1] Tsinghua University,Department of Computer Science and Technology State Key Laboratory of Intelligent Technology and Systems
来源：
Journal of Computer Science and Technology | 2000年 / 15卷
关键词：
speaker verification; likelihood score normalization; statistical analysis;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
In this paper a new text-independent speaker verification method GSMSV is proposed based on likelihood score normalization. In this novel method a global speaker model is established to represent the universal features of speech and normalize the likelihood score. Statistical analysis demonstrates that this normalization method can remove common factors of speech and bring the differences between speakers into prominence. As a result the equal error rate is decreased significantly, verification procedure is accelerated and system adaptability to speaking speed is improved.
引用
收藏
页码：184 / 193
页数：9
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