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htk3.4
- 隐马尔科夫模型工具箱使用样本文件，可以广泛应用于识别等领域，语音识别工具htk的最新版本。无需解压密码-HMM toolbox use sample documents can be widely applied in such fields as identification, Speech recognition tools htk the latest version. Without extracting passwords
ViterbiSearch
- Viterbi Search 语音识别中HMM模型用到的Viterbi Search 源代码，包括测试用的WAV文件和TCL脚本-Viterbi Search Speech Recognition HMM used in the Viterbi Sea rch source code, including testing of WAV files and TCL scr ipt
Forward-BackwardAlgorithm
- HMM模型训练用的Forward-Backward Algorithm，包括几年WAV文件和测试用的TCL脚本文件-HMM training with the Forward-Backward Algorithm. years, including WAV and test the TCL scr ipt file
HMM
- 阴马尔可夫模型的实现，还有一些例子，文件较多，可用与HMM的语音识别-The realization of Markov model overcast, there are some examples, the document more usable and HMM Speech Recognition
GAUSSIANloglikelihood
- GMM高斯混合模型大规模概率对数计算 需要一个模型地址文件和一个需要识别的声音的mfc文件可以一次执行大批量-GMM Gaussian mixture model probability on the number of large-scale computing need a model of address file, and the voice of the mfc file which need to be identified .can be an implementation
pythonHTK
- 关于数字语音是别的python脚本执行，包括声音原文件和各种模型文件，在ｅｃｌｉｐｓｅ下运行良好-Digital voice is another python scr ipt execution, including the sound of the original file and the model file, run well in eclipse
yuyinhecheng
- 语音合成 1.语音预测模型 2.语音合成模型 3.变速不变调 4.变速不变调 (详细要求请见文件内题目描述)-Speech synthesis 1. Voice predictive model 2. Speech synthesis model 3. Same transfer speed 4. The same transfer speed (see the detailed requirements of the title documents describe)
GMM
- k-means下的GMM训练模型，文档中包含源文件和头文件，详细介绍了如何用GMM去你和数据-GMM Model used by k-means and EM,
hmmspeechrecog
- 这个程序是使用隐马尔科夫模型进行0-9十个汉语数字的语音识别，程序中包含对语音文件的预处理，求取特征参量，训练和识别程序。-This program is the use of hidden Markov model of Chinese speech recognition 0-9 ten numbers, program includes pre-processing voice files, obtaining characteristic parameters, training and