本 文 首先 介绍了语音识别的研究和发展状况，然后循着语音识别系统的处理过程，介绍了语音识别的各个步骤，并对每个步骤可用的几种方法在实验基础上进行了分析对比。研究了语音信号的预处理和特征参数提取，包括括语音信号的数字化、分帧加窗、预加重滤波、端点检测及时域特征向量和变换域特征向量.其中端点检测采用双门限法.通过实验比对特征参数的选取，采用12阶线性预测倒谱系数作为识别参数。详细分析了特定人孤立词识别

-This paper first introduces the research and development of speech recognition, and then follow the process of the speech recognition system, describes the various steps of the speech recognition, several methods are available and each step were analyzed and compared on an experimental basis. Study of the speech signal preprocessing and characterized parameter extraction, including voice signals of the digitization, stars frame windowed pre heavier filtering, endpoint detection timely domain feature vectors and transform domain feature vector. Wherein the endpoint detection using double doors limit law. By experiment than the characteristic parameters of the selected 12 order linear prediction cepstral coefficients as recognition parameters. A detailed analysis of a specific isolated word recognition