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[Special Effects] 隐马尔科夫模型 c代码 DL : 0: 隐马尔科夫模型 c代码
Date : 2010-09-09 Size : 14.37kb User : aiyowa@foxmail.com
[Windows Develop] 隐马尔科夫模型 DL : 0: 隐马尔科夫模型的C语言实现
Date : 2010-11-08 Size : 295.17kb User : jack8512@163.com
[Books] 隐马尔科夫模型 DL : 0: 隐马尔可夫模型（Hidden Markov Model，HMM）作为一种统计分析模型，创立于20世纪70年代。80 年代得到了传播和发展，成为信号处理的一个重要方向，现已成功地用于语音识别，行为识别，文字识别以及故障诊断等领域。
Date : 2011-12-10 Size : 574.16kb User : mypub2011@163.com
[AI-NN-PR] HTK-3.2.tar DL : 0: 隐马尔科夫模型工具箱，可以广泛应用于识别等领域-HMM Toolbox, can be widely applied in areas such as identification
Date : 2025-07-06 Size : 1.75mb User : 李乔
[AI-NN-PR] htk-3.2.1-windows-binary DL : 0: 隐马尔科夫模型工具箱windows可执行版本，可以广泛应用于识别等领域-HMM Toolbox windows executable version can be widely applied in areas such as identification
Date : 2025-07-06 Size : 2.19mb User : 李乔
[Graph Recognize] HTK-samples-3.2.tar DL : 0: 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-HMM Toolbox using sample documents can be widely applied in areas such as identification
Date : 2025-07-06 Size : 2.14mb User : 李乔
[Speech/Voice recognition/combine] HTK-3.3-alpha1.tar DL : 0: 隐马尔科夫模型工具箱最新版本，可以广泛应用于识别等领域-HMM Toolbox latest version can be widely applied in areas such as identification
Date : 2025-07-06 Size : 1.77mb User : 李乔
[Graph program] hidden_Markov_model DL : 0: 隐马尔科夫模型。内含教学PPT文件一个。-hidden Markov model. Teaching document containing a PPT.
Date : 2025-07-06 Size : 39kb User : Jing Fan
[Speech/Voice recognition/combine] htk3.4 DL : 0: 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
Date : 2025-07-06 Size : 2.11mb User : 李婧
[JSP/Java] jahmm-0.3.1 DL : 0: java实现的隐马尔科夫模型，实现训练和预测-java realize the hidden Markov model, training and forecast
Date : 2025-07-06 Size : 102kb User : 郭进
[AI-NN-PR] hmm-1.03 DL : 0: 隐马尔科夫模型对文本信息进行抽取利用C＋＋实现-Hidden Markov Model for text information extraction using C realize
Date : 2025-07-06 Size : 15kb User : longge1998
[Speech/Voice recognition/combine] hmm DL : 0: 隐马尔科夫模型，matalb实现，比较好的-Hidden Markov Model, matalb achieved relatively good
Date : 2025-07-06 Size : 1kb User : lijiamin
[Speech/Voice recognition/combine] HMM DL : 0: HMM隐马尔科夫模型源码，实现模型的训练-Hidden Markov Model HMM source, the realization of model training
Date : 2025-07-06 Size : 1kb User : 沈立金
[MultiLanguage] HMM_C DL : 0: 隐马尔科夫模型的C代码，包括隐马尔科夫模型的三个经典问题的解决，作者是马里兰大学的-Hidden Markov Model of the C code, including the hidden Markov model of the three classic problems, the author is the MD of the University
Date : 2025-07-06 Size : 14kb User : xielang
[AI-NN-PR] ghmm-0.8_beta1 DL : 0: General Hidden Markov Model Library 一个通用的隐马尔科夫模型的C代码库-General Hidden Markov Model Library a generic Hidden Markov Model of the C code base
Date : 2025-07-06 Size : 1.18mb User : schubert
[Industry research] 20081030162855524 DL : 0: 这是关于隐马尔科夫模型的一篇文章，对于我们理解隐马尔科夫模型有很大帮助，虽然是英文的，但是能提高英语阅读水平。-This is a hidden Markov model on an article, for we understand the hidden Markov model are very helpful, although English, but can enhance the level of English reading.
Date : 2025-07-06 Size : 232kb User : lailaidaxia
[Wavelet] wavelethmtem DL : 0: 是利用EM算法进行小波域隐马尔科夫模型的参数训练，这个训练时间上比其它方法有所提高。-EM algorithm is the use of wavelet-domain hidden Markov model parameters for the training, the training time than other methods increased.
Date : 2025-07-06 Size : 7kb User : fishtian
[CSharp] sharpictclas DL : 0: 中科院分词系统的CSharp版，采用隐马尔科夫模型，识别率非常高-Word Segmentation System, Chinese Academy of Sciences CSharp version
Date : 2025-07-06 Size : 1.83mb User : xjj
[Speech/Voice recognition/combine] speechrecognitionHMM DL : 0: 该程序用隐马尔科夫模型算法来对语音信号进行识别-The program used hidden Markov model algorithm to the identification of the voice signal
Date : 2025-07-06 Size : 1014kb User : 龚玮
[Other] 基于隐马尔科夫模型的高速公路超车行为 DL : 0: 基于驾驶模拟器实验数据,结合高斯混合隐马尔可夫模型(GM-HMM),对高速公路的超车行为进行辨识 , 并对驾驶员意图和超车行为是否正常进行分析。结果表明 , 基于 GM-HMM 的辨识方法能有效辨识多种驾驶工况下的不正常超车行为。(Based on driving simulator experiment data, combined with Gauss hybrid hidden Markov model (GM-HMM), we identify Expressway Overtaking Behavior and analyze whether driver intention and overtaking behavior are normal. The results show that the identification method based on GM-HMM can effectively identify the abnormal Overtaking Behavior under a variety of driving conditions.)
Date : 2025-07-06 Size : 414kb User : kkladl

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