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-hidden-Markov-models.pdf.tar
- 介绍了隐马尔科夫模型和它在语音识别方面的应用-A tutorial on hidden Markov models and selected applications on speech recognition
Forward-algorithm
- HMM模型里的前向算法的C++实现，利用前向算法计算给定隐马尔科夫模型后的一个观察序列的概率，并因此选择合适的HMM。-Forward algorithm
HMM_EM
- Hadoop隐马尔科夫模型的实现，有训练算法（EM）,产生的模型参数可以用来单机使用，亲测可用，可供正在学习hadoop的同学参考-Implement Hadoop hidden Markov model, there are training algorithm (EM), the model parameters can be used to produce stand-alone use, pro-test available for reference students are lear
HMM
- 隐马尔科夫模型工具箱，readme文档介绍了该工具箱的使用方法-Hidden Markov Model (HMM) Toolbox written by Kevin Murphy (1998). Seehttp://www.ai.mit.edu/~murphyk/Software/hmm.html for details. Models dhmm = HMM with discrete output mhmm = HMM with mixture of G
HMM-isolated-word-speech-recognition
- 一种基于隐马尔科夫模型的孤立词的的语音识别实验，可以试验0到9的数字语音识别。-An isolated word speech recognition experiment based on the hidden Markov model, can test 0 to 9 digit speech recognition.
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
HMM
- 隐马尔科夫模型的C++实现，注释详细，算法可靠-HMM C++
hmm
- 在语音识别领域改代码运用隐马尔科夫模型可以实现很好的识别性能-Change the code in the field of speech recognition using Hidden Markov model can achieve good recognition performance
HMM-python-master
- 用python实现了隐马尔科夫模型的概率计算和预测部分，主要是前向后向算法和维特比算法-Realized with python hidden Markov model probability calculation and prediction part is mainly forward-backward algorithm and the Viterbi algorithm
HMMall
- 隐马尔科夫模型Hidden Markov Model的Matlab实现-the source code of realization of Hidden Markov Model in form of Matlab
HMM
- HMM隐马尔科夫模型，用python语言实现，能够运行，需要安装相应的库。-HMM hidden Markov model, using python language, be able to run, you need to install the appropriate libraries.
Event-Detection-HMM-Model-master
- 基于隐马尔科夫模型的事件检测,通过隐马尔科夫模型的训练学习即可检测特定的事件-event-detection based on HMM
pixel-cnn-master
- 图像中的像素预测，隐马尔科夫模型，卷积神经网络(Pixel prediction, Markov model)
map-matching-0.8.0
- 一种基于openstreetmap和GPS轨迹的地图匹配算法--隐马尔科夫模型。(a map matching algorithm based on openstreetmap and GPS trajectory data.)
CWSS17.1.1.4
- 基于隐马尔科夫模型的中文分词系统，上交ieee专业大一作业，界面一般，主要用于学习，在此分享，注：开发环境python3.5(Based on Hidden Markov model of Chinese word segmentation system, on the IEEE professional freshman job, interface is common, mainly used for learning, in this share, note: development en
hmmlearn-0.2.1-cp35-cp35m-win_amd64
- python3.5版本的隐马尔科夫模型的包,64位(Hidden Markov model can be considered a generalization of a mixture model where the hidden variables (or latent variables), are related through a Markov process rather than independent of each other.)
matlab经典算法程序
- 用正常状态下的特征样本作为模型的观测值对CHSMM进行训练，然后将待测的特征样本输入模型，得到待测样本相对于所建立正常模型的输出概率。(The characteristic samples of normal state are used as the observation value of the model to train the CHSMM, and then the sample input model of the sample to be tested is obtained,
ICDM07-Tang-et-al-Academic-Network-Extraction
- 爬去学术网站算法,包含隐马尔科夫模型和条件随机场(Academic NetWork Extraction Algorithm)
hmm机器学习
- HMM(隐马尔科夫模型)是自然语言处理中的一个基本模型，用途比较广泛，如汉语分词、词性标注及语音识别等，在NLP中占有很重要的地位(HMM (hidden Markov model) is a basic model in Natural Language Processing, which is widely used, such as Chinese segmentation, part of speech tagging and speech recognition, and plays
HMM-GMM
- 使用高斯混合模型和隐马尔科夫模型进行建模(Modeling using Gauss mixture model and hidden Markov model)