小波包分析提取振动信号中的特征频率，语音信号的采集与处理，数字信号处理课设，实现了对10个数字音的识别。- Wavelet packet analysis to extract vibration signal characteristic frequency, Acquisition and Processing of the speech signal, digital signal processing class-based, To achieve the recognition of

语音信号的采集与处理，数字信号处理课设，能量谱分析计算,小波包分析提取振动信号中的特征频率。- Acquisition and Processing of the speech signal, digital signal processing class-based, Energy spectrum analysis and calculation, Wavelet packet analysis to extract vibration signal characteristic frequ

基于BP网络和多特征的语音端点检测，提取自相关函数最大值和频带方差作为BP网络输入，输出判断是否为语音信号。(A Speech Endpoint Detection Algorithm Based on BP Neural Network and Multiple Features)

动态时间规整用于语音识别对齐和对比，例子是librosa 提取MFCC 特征，用DTW比较识别(Dynamic time warping is used for speech recognition, alignment, and contrast. The example is librosa, which extracts MFCC features and compares them with DTW)

MATLAB下，采用DTW算法进行语音识别，其中特征参数的提取（MFCC）(MATLAB, DTW algorithm is used to recognize speech, and the extraction of feature parameters (MFCC).)