该文在研究基于线性预测倒谱和非线性MEL刻度倒谱特征的基础上，研究了LPCC和MFCC参数提取的算法原理及提取算法，提出了一级、二级差分倒谱特征参数的提取算法。识别实验验证了MFCC参数的鲁棒性优于LPCC参数。-In this paper, research is based on linear prediction and nonlinear MEL Cepstrum Cepstrum scale, based on studies of LPCC and MFCC parameter ex

语音端点检测的各种论文，包括MFCC、过零率、短时能量、小波以及谱熵等方法，对编写语音VAD算法有很大的帮助-Speech endpoint detection in a variety of papers, including MFCC, zero-crossing rate, short-term energy, wavelet and spectral entropy method, write voice VAD algorithm of great help

The slides contain deep understanding of the algorithm mfcc ie mel frequency cepstrum coefficients

This paper describes an approach of isolated speech recognition by using the Mel-Scale Frequency Cepstral Coefficients (MFCC) and Dynamic Time Warping (DTW). Several features are extracted speech signal of spoken words. An experimental of total f