本程序是用MATLAB编写的孤立词的语音识别的程序，包含mel倒谱分析以及单个词的语音识别。...

vc开发的基于UDP协议的点对点语音聊天程序-UDP-based protocol-peer voice chat program

一个HMM的Matlab实现方法，可实现孤立词语音识别-The Matlab realize a HMM method can realize an isolated word speech recognition

将音频编码为Wav格式的DirectShow filter :WaveDest PCMAuido -> Wave Audio -Wav audio encoding format for the DirectShow filter: WaveDestPCMAuido-

ITU-T音频格式编解码代码，包括：G.711 G.721 G.723, 其中G723还支持16kbit/s 24kbit/s 40kbit/s几种码率。g72x.h g711.h是共用的头文件。-These are ITU-T speech codecs,include G.711 G.721 G.723,and G.723 also supports 16kbit/s 24kbit/s 40kbit/s. g72x.h and g711.h are common head files.

This code is used to remove silence from a voice signal so that the recognition in voice recognition will give good result. The method is Scale on threshold applied to the envelope for detecting scilence periods. The actual threshold is computed by multiplying threshin" by the median value of the envelope samples. The default is (.25), whichis 25 of the median envelope value over input signal .-This code is used to remove silence from a voice signal so that the recognition in voice recognition will give good result. The method is Scale on threshold applied to the envelope for detecting scilence periods. The actual threshold is computed by multiplying threshin" by the median value of the envelope samples. The default is (.25), whichis 25 of the median envelope value over input signal .

8kHz采样语音的基音检测程序，VC6.0环境下运行，附有matlab画图程序-8kHz sampling voice pitch detection procedures, VC6.0 environment running matlab with Paint program

基于matlab平台，采用DTW模型实现了汉语10数字的语音识别-Matlab-based platform, using DTW model achieved a 10-digit Chinese Speech Recognition

LMS算法实现自适应滤波 clear close all clc N=10000 设置仿真长度 信号产生参数设定 a1=-0.195 a1=-1.5955 a2=0.95 R0=[1,a1,a2 a1,1+a2,0 a2,a1,1] p=[1,0,0] r=inv(R0)*p 计算理论自相关函数 R=[r(1),r(2) r(2),r(1)] 生成理论自相关矩阵 p1=[r(2),r(3)] 生成互相关 h=inv(R)*p1 计算维纳解 Jmin=r(1)-h *p1 计算维纳解时最小均方误差 u=1/sum(eigs(R- LMS算法实现自适应滤波 clear close all clc N=10000 设置仿真长度 信号产生参数设定 a1=-0.195 a1=-1.5955 a2=0.95 R0=[1,a1,a2 a1,1+a2,0 a2,a1,1] p=[1,0,0] r=inv(R0)*p 计算理论自相关函数 R=[r(1),r(2) r(2),r(1)] 生成理论自相关矩阵 p1=[r(2),r(3)] 生成互相关 h=inv(R)*p1 计算维纳解 Jmin=r(1)-h*p1 计算维纳解时最小均方误差 u=1/sum(eigs(R))

OPNET bank_net-scalar

VoiceAge 公司的g729编解码库-VoiceAge