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一种简单有效的基于动态时变语音识别源码
对于大多数研究者来说,寻找能够匹配二重时间序列信号的最佳途径是很重要的,因为它有许多重要的应用需求.DTW是实现这项工作的显著技术,尤其在语音识别技术领域,在这里一个测试信号被按照参照模板拉伸或压缩,
,Searching for the best path that matches two time-series signals is the main task for many researchers, because of its importa
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用java实现的隐马尔科夫模型，含代码，文档，使用手册。-With the java implementation of hidden Markov models, including code, documentation, user' s manual.
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隐马尔可夫模型源代码,图像处理 matlab实现-Hidden Markov Model source code, image processing matlab implementation
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Profile hidden Markov models (profile HMMs) can be used to do sensitive database searching using statistical descr iptions of a sequence family s consensus. HMMER is a freely distributable implementation of profile HMM software for protein sequence a
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HMM模型，用C语言实现的，可以用于模式识别-HMM model, with the C language implementation, and can be used for pattern recognition
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多序列hmm模型代码，用于隐马尔科夫双观察序列的问题，例子是指硬币，c++实现-Multiple sequence hmm model code for the hidden Markov sequence of pairs of observed problems, examples refers to the coins, c++ implementation
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HMMC代码实现，可以给些ANN辅助实现方面的参考意见啊-HMMC code implementation, can give some support to achieve aspects of ANN inputs to ah
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UGENE is a free cross-platform genome analysis suite.
Main features:
Multiple sequence alignment using MUSCLE 3,4 and KAlign
HMM profiles build and search, based on the source of HMMER 2 and HMMER 3
PCR Primers design using Primer 3
Pr
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hmm文件时运用HMM算法实现噪声环境下语音识别的。其中vad.m是端点检测程序；mfcc.m是计算MFCC参数的程序；pdf.m函数是计算给定观察向量对该高斯概率密度函数的输出概率；mixture.m是计算观察向量对于某个HMM状态的输出概率，也就是观察向量对该状态的若干高斯混合元的输出概率的线性组合；getparam.m函数是计算前向概率、后向概率、标定系数等参数；viterbi.m是实现Viterbi算法；baum.m是实现Baum-Welch算法；inithmm.m是初始化参数；trai
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比较详尽的介绍了语音识别系统的实现过程，以及相关技术。
端点检测：基于短时能量和短时平均过零率的端点检测和基于倒谱特征的端点检测
特征参数提取：LPCC和MFCC
参数模板存储：HMM和N_Gram
识别阶段：DWT
各阶段的相关技术都给了详细的介绍，绝对是好东西！-More detailed introduction to the speech recognition system implementation process and related technologie
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c++实现的hmm基本算法，有注释，简单易懂。-hmm c++ implementation of the basic algorithm, with annotations, easy to understand.
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HMM 模型（人们所观察到的事件往往并不是与状态一一对应，而是通过一组概率相联系）的C语言实现-HMM model (the event that people are often not observed in correspondence with the state, but linked through a set of probability) of the C language
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一个HMM的Matlab实现方法，可实现孤立词语音识别-Matlab implementation of a HMM methods, an isolated word speech recognition can be achieved
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C语言实现的隐马可夫算法，广泛应用在模式识别中-C language implementation of hidden Markov algorithm, widely used in pattern recognition
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hmm算法用c语言实现,容易运行 很不错的程序啊-HMM algorithm in c language implementation
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隐马尔科夫经典算法的JAVA实现！可以用来做结构预测！-JAVA implementation of the classical algorithm of hidden Markov Structure prediction can be used to do!
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HMM实现的源代码，代码详尽可直接运行，适合初学者使用，包括了源码和文档-HMM implementation source code, suitable for beginners to use, including the source code and documentation
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隐马尔科夫模型HMM算法java实现
可以直接实现哦-Hidden Markov Model HMM algorithm java implementation can directly realize oh
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hmm的程序实现包含em算法，加程序注释(HMM program implementation)
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隐马尔科夫实现，包含forward-hmm, Viterbi-hmm, Baum-Welch-hmm(Hidden Markov implementation, including forward-hmm, Viterbi-hmm, Baum-Welch-hmm)
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