摘要：一般的说话人识别系统包括特征提取和识别模型两部分，其中特征参数的选择对系统

的识别性能有关键性的影响，现就特征提取展开研究，介绍了各种常用的语音特征参数及目前

主流的两种参数的提取过程，并论述了小波分析应用于语音特征参数提取中的优势-Abstract: The general speaker recognition system includes feature extraction and recognition model in two parts, of which the choice of the characteristic parameters of the recognition performance of the system have a crucial impact on the feature extraction is to commence the study, introduce a variety of commonly used voice feature parameters and At present, the mainstream of the two parameters of the extraction process, and discusses the wavelet analysis applied to voice characteristic parameter extraction of the advantages of