一个简单的报时小软。可以中文报时 初学语音识别，希望同样爱好的朋友可以多多交流...

很多人不会在windows里编译htk,因此所有htk3.2.1的程序在windows里编译了一次,可以在命令窗口下直接使用这些指令.-many people will not compile the windows Lane HTK, all the procedures htk3.2.1 windows Lane compiler, the one window in order to use them under direct orders.

利用微软的语音引擎使你的程序会朗读，需要安装微软语音引擎或者金山词霸- Causes your procedure using Microsoft s pronunciation engine to be able to read aloud, needs to install the Microsoft pronunciation engine or the Jinshan word tyrant

在有背境噪音的条件下，进行语音端点检测，并取得很好的效果-Have background in the noise conditions, for voice activity detection and achieved good results

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.

YS-V0.4 基本识别工程  , c  , LD3320 请点击左侧文件开始预览 ！预览只提供20%的代码片段，完整代码需下载后查看 加载中 侵权举报

共振峰合成非常好用-A very convenient project on formant synthesis.

This function computes autocorrelation with a biased scaling.

本文分析了用经验模态分解( Empirical Mode Decomposition ,EMD) 方法处理非平稳噪声信号的基本原理 , 并利用 EMD 方法有效地消除了高斯白噪声对瞬态散射回波的干扰. 文中以一人工合成瞬态回波为例 ,对本方法的有 效性作了检验.-This paper analyzes the use of empirical mode decomposition (Empirical Mode Decomposition, EMD) method to deal with non-stationary noise signals in the basic principles and methods of use of EMD effectively eliminates the Gaussian white noise on the transient scattering echo interference. Text in one artificial Synthesis of transient echoes as an example of the effectiveness of this method were tested.

语音信号的频域处理,语音虽然是一个时变、非平稳的随机过程。但在短时间内可近似看作是平稳的。因此如果能从带噪语音的短时谱中估计出“纯净”语音的短时谱，即可达到语音增强的目的。由于噪声也是随机过程，因此这种估计只能建立在统计模型基础上。利用人耳感知对语音频谱分量的相位不敏感的特性，这类语音增强算法主要针对短时谱的幅度估计。 -voice signals in the frequency domain processing, voice is a time-varying, nonstationary random process. But in a short period of time can be approximated as smooth. So if Noisy Speech from the short-term spectrum estimate "pure" voice of the short-term spectrum, and reached speech enhancement purposes. As the noise is random process, which can only be estimated based on statistical models based on. Use ear perception of voice spectrum component of the phase sensitive to the characteristics of such speech enhancement algorithms targeted at the rate of short-term spectral estimation.

LMS toolbox si a matlab code for least mean square algerion-LMS si a toolbox for Matlab code"s least mean quare algerion