中文说明：资源描述语音信号是人类需要和其他人分享他们的感受、情感和交流的必要的，因此分析语音信号在时域和频域都是非常必要的。的特点也非常重要的是要知道的基本特征的信号。常用的方法是线性预测编码（LPC），Mel频率倒谱系数（MFCC）等，有助于我们提取语音信号的特征。
English Description：
Application backgroundSpeech signal is necessary for human beings to share their feelings, emotions and communicate with others.So it is very much necessary to analyze the speech signal both in time domain as well as frequency domain. The features are also very much important to know the basic characteristics of the signal. Some common methods are linear predictive coding(LPC), Mel frequency Cepstral Coefficient(MFCC) etc. which helps us to extract the features of speech signal.