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=...

一个比较简单粗略的基于VQ矢量化模型的说话人识别程序-Rough a relatively simple model based on the VQ vector of speaker recognition procedures

为微软SAPI(Text-to-Speech API)封装的类- Kind (Text-to-Speech API) seals which for Microsoft SAPI

语音信号的基音检测算法（ amdf法：平均幅度差算法）-pitch detection

Levison-Durbin 语音信号处理中的线性预测编码LPC 理论、格型滤波器以及求解现行预 测方程的算法，可以实现对语音信号重要元素的分析、合成甚至识别。 基于现有的实验平台，我们可以利用 Matlab 函数来获得几个固定语音元素（如元音） 的模型系数，LPC 得到的系数组成 IIR 滤波器。利用冲击脉冲 序列作为输入，我们就可以得到原来的语音。这是一种简单的语音合成功能。-Levison-Durbin speech signal processing in linear predictive coding LPC theory, lattice filters, as well as the current prediction equation solving algorithm, can achieve an important element of the speech signal analysis, synthesis or recognition. Based on the existing experimental platform, we can use Matlab function to obtain the number of fixed-voice elements (such as vowels) model coefficients, LPC coefficients are the composition of IIR filters. Shock pulse sequence used as input, we can get the original voice. This is a simple voice synthesis.

这是G.729标准-This is the standard G.729

此方案基于全极点语音产生模型，编码过程简述如下：首先通过线性预测分析方法提取声道滤波器参数；其次通过合成分析法确定最佳激励矢量；最后将滤波器参数和最佳激励矢量进行编码传输。-This program is based on all-pole speech production model, the encoding process summarized as follows: First, by linear prediction analysis to extract channel filter parameters followed by analysis by synthesis method to determine the best incentive vector Finally, the filter parameters and the best incentive vector encoded transmission.

回音消除算法matlab,采用的VIRE的双方通话检测-Matlab algorithms eliminate echoes, the two sides call the VIRE Detection

非常不错的，文字转拼音的小程序，代码风格很好。-Very good, Text-to-phonetic small procedures, a good code style.

语音识别中试程序,包括几个测试用的WAV文件和TCL脚本程序,用来测试语音类别-Speech Recognition test procedures, including several test WAV files and TCL scripts to test voice categories

这个关于语音识别的文章，介绍了HMM模型的参数优化的 问题，以及HMM模型的孤立字识别中的应用。-This article on speech recognition, introduced the HMM model parameter optimization, as well as isolated word HMM model to identify the application.