lms

对 隐马尔科夫工具包的使用及安装进行说明，主要是在matlab下运用

ITU P.563 语音质量评价，能只送入失真信信号，而不需要参考信号，便能评价失真信号的MOS分 (ITU P.563 voice quality assessment can only be sent to the distortion of the letter signals without the need for a reference signal will be able to evaluate distortion signal MOS score)

基于LSP分析的共振峰提取算法，可直接运行(LSP based on the analysis of formant extraction algorithm can be directly run)

实现声源定位功能，利用两个麦克风的语音数据获得原始声源的位置!(Achieve sound localization function, using two microphones for voice access to the original source data location!)

语音的识别的前端技术，语音的基音周期检测(Front-end voice recognition technology, Voice Pitch Detection)

能有效实现语音合并，将两个相同采样率和相同精度的语音文件合并成为一个相同采样率和相同精度的语音文件。(Can effectively realize the merger of voice, and the two the same sampling rate and the same precision audio files into a different sampling rate and the same accuracy of voice files.)

用MATLAB来实现谱减法降噪。有源程序和降噪先后的语音信号，有实验的结果图(Use MATLAB to achieve spectral subtraction noise reduction. There has voice source and noise signals, there are experimental results of Figure)

一种用于语音或者心音去噪和提取包络的预处理方法，对于后面信号处理更加方便(A method for denoising and extract voice or heart sounds envelope pretreatment method, the signal processing is more convenient for the latter)

一种改进的DTW语音识别算法,可以加快识别速度.(An improved DTW speech recognition algorithm, can accelerate the recognition speed.)

对基于残留噪声去除的谱减法的编程，实现了高去噪水平(The program of spectral subtraction based on residual noise removal has achieved high denoising level.)