Classification methods for speaker recognition

被引：8
|
作者：
Massachusetts Institute of Technology, Lincoln Laboratory, 244 Wood Street, Lexington, MA 02420, United States [1 ]
机构：
来源：
Lect. Notes Comput. Sci. | 2007年 / 278-297期
关键词：
Artificial intelligence - Automation - Speech recognition;
D O I：
10.1007/978-3-540-74200-5_16
中图分类号：
学科分类号：
摘要：
Automatic speaker recognition systems have a foundation built on ideas and techniques from the areas of speech science for speaker characterization, pattern recognition and engineering. In this chapter we provide an overview of the features, models, and classifiers derived from these areas that are the basis for modern automatic speaker recognition systems. We describe the components of state-of-the-art automatic speaker recognition systems, discuss application considerations and provide a brief survey of accuracy for different tasks. © Springer-Verlag Berlin Heidelberg 2007.
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