HMM

DOA_Estimation,带有详细注释，，包含MUSIC，RootMUSIC，ESPRIT，MVDR，F-SAPES几种算法。(DOA_Estimation, with detailed annotations, contains MUSIC, RootMUSIC, ESPRIT, MVDR, F-SAPES algorithms.)

基于espeak的一个文本转语音的代码,可以把文本转成WAV文件(basic espaeck to translate txt to wav file)

中国科学技术大学本科课程语音信号处理实验代码(speech processing code for USTCers)

基于动态时间规整与隐马尔科夫模型的自动语音识别系统(Automatic speech recognition system based on dynamic time warping and hidden Markov model)

端点检测算法采用现阶段比较精确的时频方差检测法，模式识别和模板匹配采用的是改进后的DTW算法（主要是限定了DTW的搜索路径，进一步精确了DTW的平行四边形的形状，进一步的减少匹配中的参数存贮量以及多余的搜索路径）。(Endpoint detection algorithm uses more precise at this stage variance time-frequency detection, pattern recognition and template matching is based on the improved DTW algorithm (DTW is mainly limited to the search path, and further precision of the DTW parallelogram shape, and further reduction of matching the parameters in the storage volume as well as the extra search path).)

uds 诊断主机模式，采用C语言作为开发语音。( This is a platform agnostic C library that implements the Unified Diagnostics Services protocol for automotive electronics. UDS is documented in ISO 14229 and is the underpinning for the more well-known On-board Diagnostics (OBD) standard. The library currently supports UDS running over CAN (ISO 15765-4), which uses the ISO-TP (ISO 15765-2) protocol for message framing. This library doesn t assume anything about the source of your diagnostic message requests or underlying interface to the CAN bus)

speech file to be analyzed Format : binary file 16 bit-samples 240 samples per frame (speech file to be analyzed Format : 16 bit binary file-samples of 240 samples per fram e)

预白化是对语音信号在处理之前的一中预处理操作，对其后的操作有很重要的作用()

绘制语音信号的 WVD 分布，对时频工具箱中的 tfrwv 及 tfrspwv 函数的使用进行了详细说明(The way of drawing speech signals WVD was shown in the m file, and corresponding functions tfrwv and tfrspwv were discussed thoroughly.)

多信号分离MUSIC的经典学习程序 对初学者帮助很大(it is a baisc and useful code of the multiple signal classfication for the beginners.)