搜索资源列表
HMMall
- 隐马尔可夫模型工具箱，包括了与HMM相关的所有程序。-Hidden Markov Model toolkit, including all the procedures related with the HMM.
HSMM
- 实现HMM的前向算法,作为HMM三个算法的一部分，其他的包括检测算法和训练算法。-finish the forward of HMM，it is one part of three Arithmetic of HMM.
1234132423
- What is the probability that the weather for the hmm
132413241234
- What is the probability that the weather for the hmm
35738607HMM(markov)
- 基于隐马尔可夫过程目标识别的源程序，希望对大家有用，识别效过挺高的。-Target recognition based on hidden Markov process of the source, we want to be useful to identify effective than pricey for.
umdhmm-v1.02
- umd-Hmm 一个用c写的hmm工具包，包含前向算法，维特比算法和前向后向算法-umd-Hmm hmm a written with c kit contains forward algorithm, Viterbi algorithm and forward and backward algorithm
unusual-event-detect
- 基于HMM模型的轨迹识别监控系统稀有事件。-Identify the trajectory HMM model based control system rare event.
umdhmm-v1.02
- HMM algorithm developed by Tapas Kanungo
34
- 语音识别系统，美国cmu大学开发的基于hmm模型的语音识别系统-Speech recognition system developed at the University of the United States cmu hmm model based speech recognition system
HMM_C
- HMM算法，采用C语言实现,学习神经网络一个不错的程序，希望有所帮助-HMM algorithm，Using C to accomplish
hmm103
- 一个很好的HMM源码实例,可以用来学习H-a good sample for HMM
Lab_Intro_HMM
- a lab for hidden markov model using matlab
speechpointdetection
- 基音端点检测，可用于语音识别， 和语音编码中。-speech point detection
recognize
- 孤立词的HMM语言识别算法，能够运行，忘能帮到大家-HMM isolated word speech recognition algorithm, able to run, forget the help to everyone
DSP_HMM
- 基于DSP和HMM的语音识别系统设计与实现-And HMM-based speech recognition DSP System Design and Implementation
multiscale
- 多尺度变换域隐马尔可夫模型能够有效地描述变换域系数在尺度间、尺度内和方向间的统计相关性,是 一种新的统计图像感知与识别方法. 文中以变换域系数的统计相关性描述为中心,以模型的设计和应用的开展为 两翼,深入分析了子波变换的三级统计特性与机理,比较研究了多尺度变换域的十种统计模型,并系统评述了这些 模型在图像感知、处理和分析中的最新进展. 同时,具体论述了这一领域研究中两类成功的实例:图像去噪和图像 纹理分割. 对于前者,以Lena 图像为测试用例分析比较了以变换域统计模型为核心的
DiscreteHMM
- Discrete HMM realisation
moshi
- 模式识别 语音识别 多维智能接口 h-hmm
maerkof
- 隐马尔科夫模型 hmm 智能算法 语言学 概率论-maerkov
RecognitionofOffLineHandwrittenArabicWordsUsingHi
- Hidden Markov Models (HMM) have been used with some success in recognizing printed Arabic words. In this paper, a complete scheme for totally unconstrained Arabic handwritten word recognition based on a Model discriminant HMM is presented. A