本文的目的是阐明一种Mel频率倒谱参数特征的改进算法.该算法是通过线性预测的方法从语音信号中提取出残差相位,同时将残差相位与传统的MFCC相结合,并应用到语音识别系统中.该改进算法比传统的MFCC算法具有更好的识别率.%An improved extraction algorithm for the Mel frequency cepstral coefficient(MFCC) feature is presented.The residual phase is derived from the speech signals by a linear prediction analysis,and the residual phase and the MFCC features are combined. The experiments show that the proposed algorithm can effectively improve the recognition rate.
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