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基于声音信号的特征提取方法的研究 被引量:26

The research on characteristics extraction based on voice signal
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摘要 主要介绍了利用MATLAB语言对声音文件的采集、调入和一些基本处理方法,对预处理过程及特征参数的选取做了详细的说明,并着重介绍了线性预测系数(LPC)及其倒谱系数(LPCC)和梅尔频率倒谱系数(MFCC),且对它们进行了比较。 This thesis not only introduces some basic processing methods of collecting and loading voice messages using MATLAB language, also explains the choice of operation processes and characteristic parameter in detail. And this paper also mainly gives a clear explanation of LPC, LPCC and MFCC and makes a contrast between them.
机构地区 东北林业大学
出处 《信息技术》 2006年第1期91-94,共4页 Information Technology
关键词 语音识别 特征提取 信号采集 LPCC MFCC vdice recognition characteristics extraction signal collection LPCC MFCC
作者简介 李宏松,男,东北林业大学信息与计算机工程学院本科生。
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