During the experiment, MFCC (Mel Frequency Ceptral Coefficient) is adopted to speaker speech feature parameters.

实验中，采用美尔倒谱系数(MFCC)作为话者语音特征参数。

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The chosen speech feature parameters have great effects on robustness and real-time of the speech recognition system.

特征参数的选取对整个语音识别系统的实时性、鲁棒性有很大的影响。

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This text introduced the concept of speaker recognition system firstly, then analyzed a few extraction methods of speech feature parameters in common use and a few models of speaker recognition.

本文首先介绍了说话人识别系统的概念，然后分析了几种常用的语音特征参数的提取方法以及说话人识别的几种模型。

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