Description: 这是一个以HMM为基础的语音训练模形源码从中可以了解HMM如何做参数撷取及如何辨识-this is a HMM-based voice training from the source pattern HMM can understand how to do and how to capture parameter identification Platform: |
Size: 32516 |
Author:小王 |
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Description: 这是一个以HMM为基础的语音训练模形源码从中可以了解HMM如何做参数撷取及如何辨识-this is a HMM-based voice training from the source pattern HMM can understand how to do and how to capture parameter identification Platform: |
Size: 31744 |
Author:小王 |
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Description: 自然语言中的HMM算法，进行语句的词性分类，还不错的东西，多多指教。-Natural language in the HMM algorithm, carried out part of speech classification statement, but also good things, the exhibitions. Platform: |
Size: 10755072 |
Author:海滨 |
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Description: HMM的c实现，对理解HMM很有用，尤其是动态手势识别中，手运动的建模基本都基于H-HMM of c realization of HMM is useful for understanding, especially in the dynamic gesture recognition, hand movements are based on modeling the basic H Platform: |
Size: 8192 |
Author:wdx |
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Description: TTS.TTS是text-to-speech的缩写，英文也称Speech Synthesis即语音合成.
Microsoft Visual Studio2005+Windows2000/XP+ Microsoft Speech SDK 5.1+Microsoft Speech SDK 5.1 Language Pack
功能说明：
按课或级分类单词，用文件或数据库保存，用户可根据需要选择对应课或级别中的单词；
从文件或数据库中读取英文字符；
通过TTS完成文-本语音转换；
可在程序中设置不同的朗读者；
可调节语速、可暂停、可继续、可跳过、可调节音量；
有一定的帮助说明；
朗读口型的实现（选做）；-TTS.TTS is a text-to-speech abbreviation, English Speech Synthesis also known that the speech synthesis. Microsoft Visual Studio2005+ Windows2000/XP+ Microsoft Speech SDK 5.1+ Microsoft Speech SDK 5.1 Language Pack Function Description: Classification by classes or class word with preservation of documents or database, the user can choose according to the corresponding class or classes of words from file or database read English characters through TTS complete text- the voice conversion can set up different procedures were read aloud can Speed regulation can be suspended, you may continue to be skipped, adjustable volume will certainly help with that read the mouth-type realization of (the election to do so) Platform: |
Size: 359424 |
Author:张许 |
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Description: svm和hmm混合模型手写签名认证,充分利用SVM的分类能力以及HMM适合处理连续信号的优势进行手写签名认证-hmm mixed model and svm handwritten signature authentication, make full use of the classification ability of SVM and HMM for continuous signal processing advantages of the handwritten signature verification Platform: |
Size: 4217856 |
Author:yqch |
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Description: 利用matlab实现的基于EM算法的贝叶斯分类器的源代码，可以用来分类或识别，很值得收藏-Using matlab to achieve EM algorithm based on Bayesian classifier of the source code can be used to classification or identification, it is worthy of collection Platform: |
Size: 11264 |
Author:satanwings |
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Description: 二维线性鉴别分析(2DLDA)算法能有效解决线性鉴别分析(LDA)算法的“小样本”效应，支持向量机
(SVM)具有结构风险最小化的特点，将两者结合起来用于人脸识别。首先，利用小波变换获取人脸图像的低频分量，忽
略高频分量：然后，用2DLDA算法提取人脸图像低频分量的线性鉴别特征，用“一对多”的SVM 多类分类算法完成人脸
识别。基于ORL人脸数据库和Yale人脸数据库的实验结果验证了2DLDA+SVM算法应用于人脸识别的有效性。-”Small sample size”problem of LDA algorithm can be overcome by two—dimensional LDA f 2DLDA)，and
Support Vector Machine(SVM)has the characteristic of structural risk minimization．In this paper，two methods were
combined and used for face recognition．Firstly，the original images were decomposed into high—frequency and low—frequency
components by Wavelet Transform(WT)．The high—frequency components were ignored，while the low—frequency components
can be obtained．Then．the liner discriminant features were extracted by 2DLDA，and”one VS rest”。strategy of SVMs for
muhiclass classification was chosen to perform face recognition． Experimental results based on ORL f Olivetti Research
Laboratory1 face database and Yale face database show the validity of 2DLDA+SVM algorithm for face recogn ition． Platform: |
Size: 236544 |
Author:费富里 |
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Description: 通过对断口图像FGLCM的14个特征统计量进行相关性分析，选择角二阶矩和熵等7个统计量作为特征参数，并验证了其有效性.最后，在4类典型断口图像的特征空间上，采用隐马尔夫模型（HMM）进行分类识别。-On the fracture characteristics of the 14 images FGLCM correlation analysis statistics, select the angular second moment and entropy 7 statistics as parameters, and verified its effectiveness. Finally, in four typical fracture image of the feature space , using hidden Malfoy model (HMM) for classification. Platform: |
Size: 2921472 |
Author:朱秀红 |
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Description: 本文件是关于BP神经网络的语音特征信号分类的实现。-This document is about the BP neural network of phonetic features the realization of signal classification. Platform: |
Size: 79872 |
Author:甄香君 |
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Description: 这个是以fuzzy特征为例采用HMM方法进行分类的程序，里面用到的一些子函数都可以在HMM Toolbox里面找到-This is a classification code using HMM and taking fuzzy as example.the subfunctions in it can be find in the HMM toolbox. Platform: |
Size: 1024 |
Author:胡赣 |
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Description: 蛋白质识别HMM算法的C语言实现，里面有详细的注释和说明，阅读起来很容易理清程序流程和思路，函数的功能以及函数怎么调用都说的很清楚。内附SAMPLE-A CLASSFICATION OF HMM WITH PROTEIN Platform: |
Size: 8192 |
Author:dql |
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Description: 基于HMM的半监督分类算法，值得学习，特别是训练数据少的情况下，这种方法很有用处-HMM-based semi-supervised classification algorithm, it is worth learning, especially under the training data is small, this method is useful Platform: |
Size: 23428096 |
Author:cc |
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Description: ROBUST CLASSIFICATION OF MODULATION TYPES USING SPECTRAL FEATURES APPLIED TO H-ROBUST CLASSIFICATION OF MODULATION TYPES USING SPECTRAL FEATURES APPLIED TO HMM Platform: |
Size: 488448 |
Author:WooHyun Ahn |
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Description: 可以实现模式识别领域的数据的分类及回归，完整的基于HMM的语音识别系统，基于互功率谱的时延估计。- You can achieve data classification and regression pattern recognition, Complete HMM-based speech recognition system, Based on the time delay estimation of power spectrum. Platform: |
Size: 8192 |
Author:yan |
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Description: In this paper we present the necessary theory to
detect fraud in credit card transaction processing using a
Hidden Markov Model (HMM). An HMM is initially trained
with the normal behavior of a cardholder. If an incoming
credit card transaction is not accepted by the trained HMM
with sufficiently high probability, it is considered to be fraudulent. Platform: |
Size: 162816 |
Author:phdscolar
|
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