差分脉冲编码调制（DPCM）的matlab模块仿真，实现抽样，量化，预测，编码并解码，欢迎下载使用，我自己编的-Differential pulse code modulation (DPCM) of matlab simulation module, the realization of the sample, quantification, prediction, coding and decoding, welcome to download, I own the

老师布置的一个project，里面有题目和源程序，能够识别十个数字。-This is a project given by teacher ,including subject and code .It can recognise ten numbers.

功能介绍： 识别开关灯命令，执行开关灯操作，并语音播报当前状态。 识别温湿度读取命令，并语音播报当前温湿度情况。 实时监测危险气体，一旦检测到立即报警并语音播报危险情况。 未有识别时不做操作，识别命令有误时播报“请问您在说什么？”。 你也可以考考小米渣：“需要开灯吗？”，系统就会对环境光线进行检测，光线暗的情况下，小米渣会提醒你：“光线不足，正在开灯”然后开灯，如果光线明亮时，小米渣会说：“光线明亮，不需要开灯”保持灯在关的状态（判断光线强弱的阈值在程序中进行设置，用户可以自行修改）。

HMM语音识别Matlab实现代码,基于隐马尔可夫模型.

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.

是峰值检测的源码，经本人实验过，发现很有用。-Is the source peak detector, the experiment I have found useful.

NLP技术实现，对语料库进行自动统计生成分词词典，对训练集进行分词，列出所有的分词可能并计算每种可能的概率。请使用者自行加入语料库和测试集。-NLP technology to automatically Corpus Health Statistics ingredients dictionary, the training set for segmentation, list all the sub-term may calculate the probability of each possible. Requests for users to set and test sets.

凌阳语音压缩算法的比较详细的说明。 语音识别，语音输入，语音模型。-Sunplus voice compression algorithm is a more detailed explanation. Speech recognition, voice input, voice model.

语音识别与合成系统. 里面有详细的介绍与程序-Speech Recognition and Synthesis System. There are a detailed introduction and procedures

关于隐马尔可夫模型hmm的一个源代码 c语言编写 希望对大家有帮助-Hmm on the Hidden Markov Model of a source code language c everyone would like to have help