线性预测分析 meaning in Chinese
linear prediction analysis
Examples
- The theory of lpc and mel - scaled cepstrum analysis is introduced in this dissertation and how to extract lpcc and mfcc is elaborated
详细介绍了线性预测分析( lpc )和mel倒谱分析的原理及其具体实现过程。 - Linear prediction code and mel - scale cepstrum coefficients are effective method in speech feature extraction and important in speech signal processing
线性预测分析和mel倒谱分析是对语音信号特征提取比较有效的两种方法，在语音信号处理中有着重要的应用。 - In the second chapter , researches celp that is the theory base of g . 729a standard . celp uses speech mathematical model , linear prediction and vector quantization
729a标准的理论基础，它综合利用了语音信号的数学模型、语音信号的线性预测分析和矢量量化等技术。 - In section two , we introduce some of the main coding theories that was in the g . 729 , including the digital model of the production of speech signal , the linear prediction coding , vector quantization , lbg arithmetic and perceptual weighted filtering
第二章着重讨论了g 729语音压缩协议中所涉及到的语音编码基础理论。主要包括语音信号产生的数字模型、语音信号的线性预测分析、矢量量化及其lbg算法和感知加权滤波器。 - Based on high - dimension space geometry , every speech sample is looked as a point in space . then the speech sample point is extracted feature by lpc , mel - scaled cepstrum analysis or auto correlation - angle . their feature is looked as a point too
基于高维空间几何的思想，把每个样本点和其特征值看作高维空间中的一个点，用线性预测分析、 mel倒谱分析和自相关夹角法对样本点提取特征，然后用点在空间的投影来判别语音和非语音，根据判别结果来比较三种特征提取方法的优劣。