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activity-recognition--based-on-hmm
- 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
hmm
- 功能函数，用于matlab的仿真和实现，可用于语音识别和语音处理-Functions for matlab simulation and implementation, can be used for speech recognition and speech processing
HMM-speech-recognition-
- 这个方法之所以如此流行就在于其固有的统计框架：从有限语音训练集数据中训练出模型近似参数的简单易行；模型可根据特殊的词汇、声音等改变认知系统的大小、种类或模型的架构的灵活多变；实现整个认知系统的简单方便。在这篇解释性的文章中，我们将讲解应用在语音识别中的非常重要的统计方法，并讨论一系列尚未解决的原理性的和实际性的问题，因为他们很重要并对不同系统实现的性能有很大影响。-This method is so popular lies in its inherent statistical framewo
HMM-isolated-word-speech-recognition
- 一种基于隐马尔科夫模型的孤立词的的语音识别实验，可以试验0到9的数字语音识别。-An isolated word speech recognition experiment based on the hidden Markov model, can test 0 to 9 digit speech recognition.
hmm
- 在语音识别领域改代码运用隐马尔科夫模型可以实现很好的识别性能-Change the code in the field of speech recognition using Hidden Markov model can achieve good recognition performance
speech-recognition
- 基于HMM算法的孤立词，非特定人的语音识别，主要是HMM算法在语音识别上的应用。- HMM-based algorithm, Isolated word，non-specific speech recognition, mainly HMM Algorithm in Speech Recognition.
accord-hmm-source
- Hidden Markov Models in C#-Introduction Hidden Markov Models were first described in a series of statistical papers by Leonard E. Baum and other authors in the second half of the 1960s. One of the first applications of HMMs was speech recognition,
Dynamic-gesture-recognition-
- 基于HMM的动态手势识别-Dynamic gesture recognition based on HMM
Oencv(HMM)
- 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
HMM
- 语音识别范例,对初学者有很大帮助，有助于学习H-Speech recognition paradigm of great help for beginners, contribute to learning HMM
hmm
- 基于HMM的语音识别系统,对二十个训练样本采集MFCC系数分析，求最小距离。-HMM- based Speech Recognition System
HMMBasedGestureRecognition-master
- 基于HMM的0-9是个数字语音识别源程序(HMM based on 0-9 is a digital voice recognition source)
121114136hmm
- hmm语音识别系统的matlab实现，包括所需函数程序。(Matlab implementation of HMM Speech Recognition)
speaker-recognition-master
- example of speech processing to execute
Speech Encoding - Frequency Analysis MATLAB
- The speech signal for the particular isolated word can be viewed as the one generated using the sequential generating probabilistic model known as hidden Markov model (HMM). Consider there are n states in the HMM. The particular isolated speech sig
PRML-PRMLT-v1.1-2-g159d5cd
- pattern recognition code matlab
MP5
- Matlab Based human speech recognition on digits
OpenCV基于隐马尔可夫模型（HMM）的人脸识别
- 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)
35973510VAD-DTW-HMM
- 基于动态时间规整与隐马尔科夫模型的自动语音识别系统(Automatic speech recognition system based on dynamic time warping and hidden Markov model)
hmm-speech-recognition-0.1
- HMM based speech in matlab