搜索资源列表
hmmtraining
- HMM的一种经典的训练算法,需要的快下啊-HMM a classical training algorithm, the Express under ah
hmmtrainning2
- HMM的另一种经典的训练算法,需要的快下啊-HMM another classical training algorithm, the Express under ah
PoS-Tagging-based-on-HMM
- 基于隐马尔科夫的中文词性标注系统的C++源代码，包括训练集和测试集语料库，单词量和词性数目都没有写死，可适应任意大的训练和测试数据集，程序已经过优化，一次标注只需要不到10秒的时间。-Based on Hidden Markov of the Chinese part of speech tagging system in C++ source code, including the training set and test set corpus, vocabulary and speech
new5states
- 5状态的HMM模型源代码，状态数N=5，初始参数为随机数，训练结果依赖于结束条件-5 state HMM model for the source code, the number of states N = 5, the initial parameters for the random number, the result depends on the end of the training conditions of
hmm-1.03
- This code implements in C++ a basic left-right hidden Markov model and corresponding Baum-Welch (ML) training algorithm. It is meant as an example of the HMM algorithms described by L.Rabiner (1) and others.-This code implements in C++ a basic
dtkirsch-hmm-v0.2.0-0-g7feffa1
- 这是一个Ruby机器学习项目中本地实现广义隐马尔可夫模型的分类。目前，它能够监督学习和Viterbi解码。-This project is a Ruby gem ( hmm ) for machine learning that natively implements a (somewhat) generalized Hidden Markov Model classifier. At present, it is capable of supervised learning (using la
tspeeechclassh
- 此源代码,是一个以HMM为基础的语音训练模形源码从中能了解解HMM怎样做参数撷取及怎样辨识 可直接使用。 已通过测试。 -this is a HMM-based voice training from the source patternn HMM caan understand how to do and how to capture parameter identification
hmmrecongition
- 基于HMM的语音识别系统的MATLAB仿真，采用多数据同时训练法训练模板-Speech recognition system based on HMM of MATLAB simulation, using much data at the same time training method training template
HMM
- hmm，包括前向，后向，前向-后向，EM，训练等算法的java实现-hmm, including forward, backward, forward- backward, EM, training algorithm to achieve the java
detect_vuv
- The HMM-based Speech Synthesis System (HTS) has been developed by the HTS working group and others (see Who we are and Acknowledgments). The training part of HTS has been implemented as a modified version of HTK and released as a form of patch code t
enframe
- 隐马尔可夫模型中的训练程序中的数据进行分类，分类以后进行聚类-HMM clustering data in the training program categorize later
HMMBasedGestureRecognition-master
- 手势识别,采用HMM，可收集手势样本，进行训练和识别-Gesture recognition using HMM, gesture can collect samples for training and recognition
jaojun_v59
- 通过反复训练模板能有较高的识别率，借鉴了主成分分析算法（PCA），完整的基于HMM的语音识别系统。- Through repeated training vBJDUUflate have higher recognition rate, It draws on principal component analysis algorithm (PCA), Complete HMM-based speech recognition system.
hmm-master
- a zip file for hmm training in bioinformatics, its a c programming code.
HMM1
- 在VC6.0平台上进行编写的，包括隐马尔科夫模型（HMM）和混合高斯模型（GMM）在内的用于模板训练的算法。(The algorithm for template training is written on VC6.0 platform, including hidden Markov model (HMM) and mixed Gauss model (GMM).)
HMM_speechRecognation
- 基于hmm的语音识别，包括训练与测试两部分，可以直接运行(HMM based speech recognition, including training and testing two parts, can be directly run.)