动态时间归整

The Yin algorithm was developed by Alain de Cheveigné of IRCAM-CNRS and Hideki Kawahara of Wakayama University. It allows for real-time continuous (for each sample) fundamental frequency estimation. It features a very low error rate and few tuning parameters. This implementation is a C++ template, with EMM support for faster processing. Developped in Visual C++ 6.0, but should compile with other compilers.-The Yin algorithm was developed by Alain de Cheveigné of IRCAM-CNRS and Hideki Kawahara of Wakayama University. It allows for real-time continuous (for each sample) fundamental frequency estimation. It features a very low error rate and few tuning parameters. This implementation is a C++ template, with EMM support for faster processing. Developped in Visual C++ 6.0, but should compile with other compilers.

HMM_隐马尔可夫过程的介绍，希望对初学者有用-HMM_ Hidden Markov process, the hope that useful for beginners

matlab时域处理的相关程序，通过matlab调用实现-matlab deal with time-domain procedures, through the realization of matlab call

在线签名鉴定，用AR实现算法和DTW算法实现，还包括一个比较综合的实例，对此方面研究的朋友有用处-Online signature identification, use AR to achieve algorithm and DTW algorithm, but also a more comprehensive example of this research useful friends

16kbpsCVSD与64kbpsPCM编码数字转换算法描述及实现-16kbpsCVSD and 64kbpsPCM code conversion and encoding algorithm description and implementation

用标准C语言实现的基于DTW算法的特定人孤立词语音识别系统，能实现汉语数字0至9个语音发音的识别，具有很好的识别性能。-Using standard C language based on the DTW algorithm to achieve the specific words were isolated speech recognition system, to achieve Chinese figures 0-9 voice pronunciation recognition, with good recognition performance.

语音聊天助手，采用讯飞语音识别代码，可以打开应用，搜索天气，语义理解，发短信，打电话，导航等功能。JAVA编程适用于安卓系统。

本源码为语音识别中lpcc（线性预测倒谱系数）的计算方法。经试验，可用。为方便大家理解，关键语句和函数后面都加上了注释。-The source code for speech recognition in lpcc (Linear Prediction Cepstrum Coefficient) is calculated. After testing, can be used. To facilitate the understanding of everyone, the key behind the statements and functions are added to the Notes.

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.

基于SPCE061的语音（乐音）辨识研究-SPCE061 based voice (music) Identification