计算机工程2011，Vol.37Issue(4)：216-217,229,3.DOI:10.3969/j.issn.1000-3428.2011.04.078
融合LPC与MFCC的特征参数
Feature Factor Fused on LPC and MFCC
摘要
Abstract
This paper obtains a new feature factor which is called linear prediction Mel Frequency Cepstral Coefficient(MFCC) based on the Linear Prediction Coefficient(LPC) and MFCC. In order to verify the validity of the LPMFCC, a speaker recognition system based on the HMM model using the Matlab7.0 is established. The speech recognition rate of LPMFCC and the other two feature factors are tested. The result suggests that the new feature factor is not only efficiency, but also better than other two feature factors. It can achieve high recognition rate.关键词
线性预测/美尔倒谱系数/说话人识别Key words
linear prediction/ Mel Frequency Cepstral Coefficient(MFCC)/ speaker recognition分类
信息技术与安全科学引用本文复制引用
张学锋,王芳,夏萍..融合LPC与MFCC的特征参数[J].计算机工程,2011,37(4):216-217,229,3.基金项目
安徽省教育厅青年教师基金资助项目(2008jq1032) （2008jq1032）
安徽省教育厅基金资助一般项目(KJ2009B143Z) （KJ2009B143Z）
