高的

语音的识别的前端技术，语音的基音周期检测-Front-end voice recognition technology, Voice Pitch Detection

LMS滤波器（最小均方误差滤波器），学习现代数字信号处理理论的人应该用的上。-LMS filter (minimum mean square error filter), learning modern digital signal processing theory should be used on.

dtw － DTW算法演示程序 mfcc.m － MFCC参数计算程序 dtw.m － 基本的DTW算法 dtw2.m － 优化的DTW算法 testdtw.m － DTW算法测试程序 vad.m － 端点检测程序 cdhmm － 连续高斯混合HMM演示程序 pdf.m － 高斯概率密度函数 mixture.m － 混合高斯的输出概率 inithmm.m － HMM参数初始化 getparam.m － 计算观察序列的参数 viterbi.m － 语音识别的Viterbi算法 baum.m － Baum-Welch训练算法（一次叠代） main.m － 多HMM训练主程序&n

这是微软TTS语音引擎（SAPI5.1）Delphi应用程序的详细说明。不幸的是，它是用英语写的。：（如果有的话，请帮助翻译什么。）

能有效的去除纯净语音中加入的噪声，效果不错。-Can effectively remove the pure voice added to the noise, good results.

Demo script for testing for block-diagonalizability of real matrices

G711语音压缩源码-G711 voice compression FOSS

共振峰合成非常好用-A very convenient project on formant synthesis.

检测语音信号的共振峰 ％ gender = gender_detector(X,Fs) ％ ％ This function will use a pitch detection algorithm to decide if the speaker is MALE(0) or FEMALE (1). ％ It is designed to work with short speech samples (up to or greater than 50 ms). The function returns a ％ 0 if X contains male speech and a 1 if it contains female speech. -the resonance peak gender_detector% gender = (X, Fs)%% This function will use a detection a pitch lgorithm to decide if the speaker is abbreviation (0) or F EMALE (1). % It is designed to work with short spe ech samples (up to or greater than 50 ms). The fun ction returns a 0% if X contains a male speech and if it contains a female speech.