支持向量机在说话人识别系统中的应用

支撑向量机(Support Vector Macbinc,SVM)是一种新的统计学习方法,作为一种说话人识别的手段具有独特的优势.通过产生的支持向量来概括数据集合中的信息,其分类核函数仅依赖于一小部分训练样本,即支持向量,从而降低信息的采集量和识别时间.本文介绍了说话人识别的基本原理,特征提取、模型训练等方面,通过实验证明支撑向量机(SVM)在说话人识别系统应用中表现出的良好性能.

SVM speaker recognition system in the application of

Support Vector Machine(Support Vector Machine,SVM) is a new statistical learning methods as a means of speaker identification with a unique advantage.By support vector produced to summarize the information in the data set,the classification of nuclear function is only a small part of the training depends on the sample,namely,support vector,thereby reducing the amount of information collection and identification time.This article describes the basic principles of speaker recognition,feature extraction,model ...