Abstract: The authors propose to use the linear predictve coding cepstrum coefficients (LPCC), which are extracted from the difference sequence of the one-sided autocorrelation sequence, as a noise-robust speech feature. Experimental results showed that the recogniser using the proposed feature can obtain higher recognition rate than that using the conventional LPCC or one-sided autocorrelation sequence LPCC in noisy environments.

摘要： 提出了一种抗噪声的语音特征。首先计算语音信号单边自相关序列的差分序列，再计算该差分序列的线性预测系数，进一步求出倒谱系数。实验证明，传统的线性预测倒谱系数和单边自相关序列的线性预测倒谱系数相比，采用单边自相关序列差分序列的线性预测倒谱系数作为语音信号的特征矢量，可以提高语音识别系统对带噪语音的识别率。

关键词: 语音处理, 语音识别, 信号处理

CLC Number: 

• TN912