微软研究出来的一个基频提取算法，简单有效

vb的语音 识别例子的-vb example of the Speech Recognition

TI arm芯片在ivr ewarm中的flash下载驱动源码，和生成文件，直接可用，比较少见。-TI arm chip ivr ewarm in the flash drive to download source code, and generate documents directly available, relatively rare.

G.711 alaw和ulaw编码、解码算法源码，在嵌入式平台上验证通过。-G.711 alaw and ulaw encoding, decoding algorithm source code, in the embedded platform authentication through.

SVM-light与matlab的接口,matlab下就能直接调用哟,很有价值哟-SVM-light and Matlab interface directly with Matlab can call yo, value yo

文本语音（Text-to-Speech，以下简称TTS），基于MSTTS,它的作用就是把通过TTS引擎把文本转化为语音输出。代码示范了如何运用Microsoft Speech SDK 建立自己的文本语音转换应用程序。

用PC SPEAKER 播放WAV文件的C源程序 -PC SPEAKER broadcast WAV files to the C source

首先对语音信号的预处理和特征提取问题进行了讨论,提取了三个有效的语音识别特征参数—LPC系数、LPC倒谱系数和Mel频率倒谱系数(MFCC);其次着熏讨论了语音识别中常用的两种识别方法—基于模板匹配的DTW和基于统计膜型的HMM在语音识别中的应用,分别讨论了各自的模型训练和识别的方 法,对HMM在实际应用中的一些具体问题也进行了讨论;最后对常规HMM提出了一些改进方法,包括显式状态驻留和随机分段模型(SM),重点讨论了SM在 语音识别中的训练和识别方法,并通过一个孤立数字语音识别系统验证了其比常规HMM更能描述语音信号的特征。

语音信号处理中基音周期提取算法。运用传统的自相关方法。并加入了三电平削波的处理。-Speech Signal Processing pitch extraction algorithm. Using the traditional autocorrelation method. And joined the three-level clipping processing.

这是语音识别的几个程序，包括语音的特征提取、端点检测的程序。-This is the number of speech recognition procedures, including the voice feature extraction, endpoint detection procedure.

数字音频格式有很多种，其质量与采样频率和采样精度两个参数有关。频率的表示单位为赫兹〔Hz〕，它表示每秒采样次数。采样频率越高，音质就越好。采样精度为每次采样所存储的数据数量，它决定每个数字信号所能够表示的离散振幅的数量。存储每个样本的数据越多，音质就越好。但是高品质的声音需要占用大量的内存和磁盘空间。考虑到网络带宽，在Internet连接上传输就需要花费很长的时间。对于Applet来说，保证声音文件的最小化是极为重要的。-digital audio format there are many, the quality and frequency of sampling and sampling accuracy of the two parameters. The frequency of Hertz unit of [Hz], it said the number of samples per second. The higher sampling frequency, the sound quality better. For each sampling precision sampling by the amount of data storage, it was decided that each digital signal can be expressed as the number of discrete amplitude. Each sample storage of more data, better sound quality. But high-quality voice would take a lot of memory and disk space. Consideration of the network bandwidth, the transmission on the Internet connection on the need to spend a very long time. Applet for instance, to ensure that voices of the smallest document is very important.