搜索资源列表
HMM-learning--example
- 资料中详细介绍了HMM模型的组成架构及其各组成部分的功能和设计中的注意事项。-The data described in detail the matters needing attention function and design architecture of HMM model and its components in.
HMM
- HMM C++로 제작된 소스입니다.
hmm
- hmm is a template matching for speech recognition
HMM
- 该文件为基于HMM的孤立词/连接词识别系统-The document is based on isolated word HMM' s/conjunctions recognition system
HMM-experiments-master
- hmm testing code on VisualC-hmm testing code on VisualC++
HMM-with-skips-and-single-Diagonal-Gaussian-Sourc
- HMM with skips and single Diagonal Gaussian SourceForge 1.03
the-code-of-HMM
- 隐马尔可夫模型源 包含了train和test 对于任意序列有效-the code of HMM
HMM
- hmm MATLAB工具箱，里面有自己写的一个DEMO可直接运行，方便大家理解，相互帮助啊-hmm MATLAB toolbox, which has to write a DEMO can be run directly, to facilitate understanding, mutual help ah
HMM
- hmm人脸识别,利用hmm对人脸识别的C++代码，里面很详细，可以运行-hmm for face recogniton
hmm-details
- its full of explains the concept of hmm model used in speech recognition system.
hmm
- hmm pdf for Hidden Markov Models
DHO-HMM-sourceforge-1.03
- this code contain hmm speech recognition
hmm-matlab
- 实现最简单的HMM的模型例子，给定一组观察值，训练HMM的模型；再给出一组观察值，评估出其状态值 -Realize the simplest HMM model example, given a set of observations, training of HMM model To give a set of observations, uate its status value to achieve the simplest HMM model example, given a set
How-to-use-the-HMM-toolbox
- 如何运用MATLAB中的HMM工具包进行模型的建立，求解先验概率和解码-How to use the Hmm toolbox
HMM-C-based
- HMM基于C语言的模型程序源代码，语音识别，数字信号处理-HMM model based on the C language source code, voice recognition, digital signal processing
HMM
- HMM的C语言实现，图像处理必备的C语言算法-C language implementation of the HMM image processing essential C language algorithm
HMM-tools-package
- 隐马尔科夫（HMM）开发用工具包，内含多个m文件，适合在编程时直接调用-Hidden Markov (HMM) development tools package, containing a plurality of m files, suitable for direct calls in programming
hmm-program
- HMM的示例程序，包含特征样本和产生训练数据的程序，注释详细，适合参考学习-HMM sample program, including feature samples and generator training data, detailed notes for reference study
HMM-based-valuation-model
- 给定观测序列 O=O1O2O3…Ot和模型参数λ=(A,B,π)，怎样有效计算某一观测序列的概率，进而可对该HMM做出相关评估。例如，已有一些模型参数各异的HMM，给定观测序列O=O1O2O3…Ot，我们想知道哪个HMM模型最可能生成该观测序列。通常我们利用forward算法分别计算每个HMM产生给定观测序列O的概率，然后从中选出最优的HMM模型。-Given the observation sequence O = O1O2O3 ... Ot and model parameters λ =
Face-Recognition-using-HMM-master
- 基于隐马尔科夫模型的人脸识别算法，能够较为准确的完成人脸识别。是马尔科夫场的一种实际应用。-A face recognition method based on HMM which can precisely recognize the faces. It is an application of HMM.