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Description: 语音识别中的模型和算法：动态时间归正技术（DTW），隐马尔可夫模型（HMM），高斯混合模型（GMM），高斯混合模型（GMM）-Speech Recognition model and algorithms : dynamic time Reformed technology (DTW) Hidden Markov Model (HMM), Gaussian mixture model (GMM), Gaussian mixture model (GMM)
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Author: 蒋 |
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Description: 用于语音识别的离散隐马尔可夫模型程序（非特定人，多个观测序列），已调试通过。-used discrete speech recognition Hidden Markov Model (non-specific, a number of observation sequence), has been through testing.
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Author: 赵姝彦 |
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Description: 隐马尔可夫模型（Hidden Markov Model，HMM）是统计模型，它用来描述一个含有隐含未知参数的马尔可夫过程。其难点是从可观察的参数中确定该过程的隐含参数。然后利用这些参数来作进一步的分析，例如模式识别。
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Author: 896963648@qq.com |
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Description: 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。
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Author: mypub2011@163.com |
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Description: 用于语音识别的离散隐马尔可夫模型程序（非特定人，多个观测序列），已调试通过。-used discrete speech recognition Hidden Markov Model (non-specific, a number of observation sequence), has been through testing.
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Author: 赵姝彦 |
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Description: 语音识别中的模型和算法：动态时间归正技术（DTW），隐马尔可夫模型（HMM），高斯混合模型（GMM），高斯混合模型（GMM）-Speech Recognition model and algorithms : dynamic time Reformed technology (DTW) Hidden Markov Model (HMM), Gaussian mixture model (GMM), Gaussian mixture model (GMM)
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Size: 12288 |
Author: 蒋 |
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Description: 基于隐马尔可夫模型的多重序列分析
<<中山大学学报（自然科学版） >>2005年02期
罗泽举 , 朱思铭 , 何淼 , LUO Ze-ju , ZHU Si-ming , HE Miao-Hidden Markov Model-based multiple sequence analysis
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Author: bin |
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Description: 两篇很好的人脸识别论文，基于不同的方法实现，《基于嵌入式隐马尔可夫模型（EHMM）的人脸表情识别》《 基于DSP的人脸识别系统研究》-2 Face Recognition good thesis, based on different methods of implementation, " Based on Embedded Hidden Markov Model (EHMM) Facial Expression Recognition" " DSP-based Face Recognition System"
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Author: 赵洋洲 |
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Description: 很好的关于人脸识别的毕业论文，从中国知网付费下载得到，《基于嵌入式隐马尔可夫模型（EHMM）的人脸表情识别 》希望对大家有用。-About Face Recognition of good theses, pay-per-download from the Chinese HowNet be, " Based on Embedded Hidden Markov Model (EHMM) Facial Expression Recognition" I hope useful to everyone.
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Author: 赵洋洲 |
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Description: ：用C 语言实现了一个用于控制家电开关的声音模块. 该声音模块采用当前语音识别系统的主流技
术——隐马尔可夫模型（HMM）技术，以及线性预测倒谱计算和矢量量化技术. 命令（单词）的正确识别率
在97 以上. 介绍了声音模块的设计方案，并就实现该声音模块的过程中所遇到的具体问题进行了讨论.-: The C language realization of a switch used to control the voice module appliances. The sound module voice recognition systems using current mainstream technologies- Hidden Markov Model (HMM) technology, as well as the linear prediction cepstrum calculation and vector quantization technology. command (word) the correct recognition rate in more than 97 . introduced a sound module design and the realization of the sound module on the course of the specific problems encountered were discussed.
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Author: 刘文 |
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Description: HMM（隐马尔可夫模型）的matlab算法代码-HMM (Hidden Markov Model) algorithm matlab code
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Author: 刘子豪 |
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Description: 隐马尔可夫模型工具箱（hmmtolbox）的用法说明，及实例。-Hidden Markov Model Toolkit instructions.
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Author: zhangjing |
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Description: 隐马尔可夫模型（HMM）在现实中处处存在，且对于推断和预测很有指导意义，其理论比较艰深，这是一个浅显易懂的浙江大学的讲稿，希望对大家有所帮助。-Hidden Markov Model (HMM) in reality is all about, and for inference and forecasting is very instructive, its theoretical comparison difficult, it is an easy to understand the speech of Zhejiang University, I hope all of us help.
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Author: fanyx |
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Description: 语音信号处理 包括语音信号的同态处理和先行预测编码分析（LPC） 隐马尔可夫模型的分析（HMM）等-The voice signal processing includes a voice signal the homomorphic processing and the first prediction coding analysis (LPC) analysis of the Hidden Markov Model (HMM)
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Author: 任鹏 |
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Description: Fox & Pigeon Laboratory 发布一款基于隐马尔可夫模型的英语语音合成软件（HMM based English Text-To-Speech, TTS）：FoxPigeonTTS alpha版。
近年来，基于HMM的语音合成系统得到广泛的重视和应用。我们实验室实现的基于HMM的语音合成系统基本不需要任何语言学知识指导系统训练，构建时间短，构建过程基本不需要人工干预，而由于系统属于参数化合成方法，系统的合成结果灵活多变，可以很容易的应用于多个发音人，多种发音风格，多种情感表达的需求中。
我们的实验室实现的英语语音合成技术音质好，自然度高，可懂度高。并且整个系统基于C开发，可以很方便的移植到其他移动平台。
下一步我们会开发中文语音合成技术，以及在 提高合成语音的自然度、丰富合成语音的表现力、降低语音合成技术的复杂度、多语种文语合成方面做进一步的研究。-Fox & Pigeon Laboratory released a hidden Markov model based on the English speech synthesis software (HMM based English Text-To-Speech, TTS): FoxPigeonTTS alpha version.
In recent years, HMM-based speech synthesis system has been widely appreciated and applications. Our laboratory implemented HMM-based speech synthesis system does not require any basic knowledge of linguistics training guidance system, build time is short, the basic building process does not require human intervention, and because the system belongs parametric synthesis, synthesis of the results of the system flexible , can easily be applied to multiple pronunciations who demand a variety of pronunciation styles in a variety of emotional expression.
Our laboratory English speech synthesis technology to achieve good sound quality, natural high, high intelligibility. And the entire system is based on C development, can be easily ported to other mobile platforms.
Next, we will develop Chinese speech synthesis tech
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Author: Shi |
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Description: 隐马尔可夫模型工具包（HTK）是一种便携式工具包构建和操纵隐马尔可夫模型。 HTK主要用于语音识别的研究，虽然它已被用于许多其它应用，包括研究，语音合成，字符识别和DNA测序。
本程序包含HTK源码以及在windows下已经编译好的工具。-The Hidden Markov Model Toolkit (HTK) is a portable toolkit for building and manipulating hidden Markov models. HTK is primarily used for speech recognition research although it has been used for numerous other applications including research into speech synthesis, character recognition and DNA sequencing. HTK is in use at hundreds of sites worldwide.
The program includes HTK source code and compiled under the windows have good tools.
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Description: 隐马尔可夫模型工具包（HTK）是一种便携式工具包构建和操纵隐马尔可夫模型。 HTK主要用于语音识别的研究，虽然它已被用于许多其它应用，包括研究，语音合成，字符识别和DNA测序。 HTK是使用在世界各地的数百个网站。
该文档主要包含htkbook的中英文版本，方便HTK初学者使用和学习。-The Hidden Markov Model Toolkit (HTK) is a portable toolkit for building and manipulating hidden Markov models. HTK is primarily used for speech recognition research although it has been used for numerous other applications including research into speech synthesis, character recognition and DNA sequencing. HTK is in use at hundreds of sites worldwide.
This document consists mainly of Chinese and English versions htkbook facilitate HTK beginners to use and learn.
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Description: 一种HMM可以呈现为最简单的动态贝叶斯网络。隐马尔可夫模型背后的数学是由LEBaum和他的同事开发的。它与早期由RuslanL.Stratonovich提出的最优非线性滤波问题息息相关，他是第一个提出前后过程这个概念的。
在简单的马尔可夫模型（如马尔可夫链），所述状态是直接可见的观察者，因此状态转移概率是唯一的参数。在隐马尔可夫模型中，状态是不直接可见的，但输出依赖于该状态下，是可见的。每个状态通过可能的输出记号有了可能的概率分布。因此，通过一个HMM产生标记序列提供了有关状态的一些序列的信息。注意，“隐藏”指的是，该模型经其传递的状态序列，而不是模型的参数；即使这些参数是精确已知的，我们仍把该模型称为一个“隐藏”的马尔可夫模型。隐马尔可夫模型以它在时间上的模式识别所知，如语音，手写，手势识别，词类的标记，乐谱，局部放电和生物信息学应用。
隐马尔可夫模型可以被认为是一个概括的混合模型中的隐藏变量（或变量），它控制的混合成分被选择为每个观察，通过马尔可夫过程而不是相互独立相关。最近，隐马尔可夫模型已推广到两两马尔可夫模型和三重态马尔可夫模型，允许更复杂的数据结构的考虑和非平稳数据建模。-The HMM is a statistical approach in which the underlying model is a stochastic Markovian
process that is not observable (i.e., hidden) whic h can be observed through other processes that
produce the sequence of observed (emitted) features. In our HMM we let the hidden nodes represent
activities. The observable nodes re present combinations of the features described earlier. The
probabilistic relationships between hidden nodes and observable nodes and the probabilistic transition
between hidden nodes are estimated by the relative fr equency with which these relationships occur in
the sample data. An example HMM for three of the activities is shown in Figure 3. Given an input
sequence of sensor events, our algorithm finds the mo st likely sequence of hidden states, or activities,
which could have generated the observed event sequence. We use the Viterbi algorithm to
identify this sequence of hidden states.
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Author: guolei |
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Description: OpenCV基于隐马尔可夫模型（HMM）的人脸识别-Research on Face Recognition Model Based
On Simplifled Pseudo 2D Hidden Markov Model
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Author: 刘科 |
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Description: OpenCV基于隐马尔可夫模型（HMM）的人脸识别源程序(OpenCV based on Hidden Markov model (HMM) for face recognition source program)
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Author: 白云堆儿
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