Matlab

利用HMM的语音识别代码，里面包含向前向后算法，重估baum算法，viterbi算法等，用C++编写的，若有语音识别的朋友希望能得到帮助，

一个基于ITU-R recommendation BS.1387的客观语音质量评价算法源码。-Based on ITU-R recommendation BS.1387 objective voice quality assessment algorithm source.

根据midi音乐的相关参数生成midi音乐文件-midi music under the relevant parameters generated midi music files

FIR滤波器设计中往往是线性相位，但不是最小相位，所以它的零点有部分在单位圆外。把单位圆外的零点映射到单位圆内，构成最小相位滤波器。-FIR filter design is often the linear phase, but it is not minimum phase, so it has some of the zeros outside the unit circle. To zero outside the unit circle is mapped to the unit circle, the minimum-phase filter constituted.

一个用vs2005开发的、简单的TTS文本转换语音程序，是.net版的TTS，有助于语音合成初学者。-One with the vs2005 developed a simple TTS Text speech translation procedure is. Net version of the TTS, speech synthesis will help beginners.

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.

在matlab环境下的详细的turbo的编码和解码过程，包括循环编码过程-In the matlab environment detailed turbo encoding and decoding process, including the cycle of coding process

基于microsoft speech sdk的语音识别代码程序-Microsoft speech sdk-based speech recognition procedures code

达芬奇DM6446平台音频、视频，语音压缩编解码处理演示程序。-DaVinci DM6446 platform audio, video, voice compression codec processing demo.

本程序包含语音压缩和语音识别领域所需的LPCC，MFCC特征提取算法以及语音端点检测源码。-This procedure includes voice compression and voice recognition requirements in the area of the LPCC, MFCC feature extraction algorithm, as well as voice activity detection source.