我懂得还很少，但是我所传的是我自己编写的关于用遗传算法实现语音识别的东西，欢迎批评指正...

根据midi音乐的相关参数生成midi音乐文件-midi music under the relevant parameters generated midi music files

本程序可以产生一组正态模拟数，用来模拟实际生产中服从或近似服从正态分布的数据，很有用。-This procedure can generate a group of normal simulation the number used to simulate the actual production or similar to obey normal distribution of data, very useful.

一个简易的端点检测程序，已经实现，包括基于过零率、短时能量的双门限判决方法。-a simple endpoint detection procedures has been achieved, including on the basis of zero rate Short-term dual energy threshold judgment method.

语音控制小车的源码，很不错，可以识别声音，自动完成前进倒车等-Voice-controlled car source, it is good to identify the voices of forward to reverse, such as auto-complete

对语音识别中的声音信息作能量谱分析，得到频谱图，统计所有声音信息中的频率性质。-poweranalysis

HMM模型在语音识别中的应用，相信对HMM模型感兴趣的语音或图像等专业人员应该明白价值。-It is about Hidden Markov Models (HMM) method in Speech Recognition research. those interested in HMM or speech/image processing should know it s value.

This code is used to remove silence from a voice signal so that the recognition in voice recognition will give good result. The method is Scale on threshold applied to the envelope for detecting scilence periods. The actual threshold is computed by multiplying threshin" by the median value of the envelope samples. The default is (.25), whichis 25 of the median envelope value over input signal .-This code is used to remove silence from a voice signal so that the recognition in voice recognition will give good result. The method is Scale on threshold applied to the envelope for detecting scilence periods. The actual threshold is computed by multiplying threshin" by the median value of the envelope samples. The default is (.25), whichis 25 of the median envelope value over input signal .

语音文件加窗后比较去零的范围，以及它们的比较图。-After the voice file comparison window to increase the scope of zero, and their comparison.

这是G.727标准文件-This is the G.727 standard documents

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.