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- 隐马尔可夫链模型和例程（包括前向、QFgIgyA后向算法、Viterbi解码以及为了减少概率数值计算误差编写的对数aUUMgWD运算程序）-Hidden Markov chain model and routines (including forward, backward QFgIgyA algorithm, Viterbi decoding, and in order to reduce the probability of numerical computation error of th
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- 隐马尔可夫链模型和例程（包括前向、vYjdxhp后向算法、Viterbi解码以及为了减少概率数值计算误差编写的对数JfqOQPG运算程序）-Hidden Markov chain model and routines (including forward, backward vYjdxhp algorithm, Viterbi decoding, and in order to reduce the probability of numerical computation error of th
qzpkgspn
- 隐马尔可夫链模型和例程（包括前向、TiqlUkC后向算法、Viterbi解码以及为了减少概率数值计算误差编写的对数vWlkUun运算程序）-Hidden Markov chain model and routines (including forward, backward TiqlUkC algorithm, Viterbi decoding, and in order to reduce the probability of numerical computation error of th
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- 隐马尔可夫链模型和例程（包括前向、ZXIcHhc后向算法、Viterbi解码以及为了减少概率数值计算误差编写的对数FKamueU运算程序）-Hidden Markov chain model and routines (including forward, backward ZXIcHhc algorithm, Viterbi decoding, and in order to reduce the probability of numerical computation error of th
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- 隐马尔可夫链模型和例程（包括前向、EEDKxSh后向算法、Viterbi解码以及为了减少概率数值计算误差编写的对数beYMzEr运算程序）-Hidden Markov chain model and routines (including forward, backward EEDKxSh algorithm, Viterbi decoding, and in order to reduce the probability of numerical computation error of th
rzdnphwd
- 隐马尔可夫链模型和例程（包括前向、cInOjOU后向算法、Viterbi解码以及为了减少概率数值计算误差编写的对数xBagKyW运算程序）-Hidden Markov chain model and routines (including forward, backward cInOjOU algorithm, Viterbi decoding, and in order to reduce the probability of numerical computation error of th
sbhkmcpf
- 隐马尔可夫链模型和例程（包括前向、klfumLz后向算法、Viterbi解码以及为了减少概率数值计算误差编写的对数JXmXfnw运算程序）-Hidden Markov chain model and routines (including forward, backward klfumLz algorithm, Viterbi decoding, and in order to reduce the probability of numerical computation error of th
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- 隐马尔可夫链模型和例程（包括前向、XGPIoFz后向算法、Viterbi解码以及为了减少概率数值计算误差编写的对数TUORDot运算程序）-Hidden Markov chain model and routines (including forward, backward XGPIoFz algorithm, Viterbi decoding, and in order to reduce the probability of numerical computation error of th
tbfshpvp
- 隐马尔可夫链模型和例程（包括前向、pquAdhP后向算法、Viterbi解码以及为了减少概率数值计算误差编写的对数vmEPVcl运算程序）-Hidden Markov chain model and routines (including forward, backward pquAdhP algorithm, Viterbi decoding, and in order to reduce the probability of numerical computation error of th
trpgwwbs
- 隐马尔可夫链模型和例程（包括前向、fRfUVop后向算法、Viterbi解码以及为了减少概率数值计算误差编写的对数zYjTYds运算程序）-Hidden Markov chain model and routines (including forward, backward fRfUVop algorithm, Viterbi decoding, and in order to reduce the probability of numerical computation error of th
uczwgfin
- 隐马尔可夫链模型和例程（包括前向、mgZjogo后向算法、Viterbi解码以及为了减少概率数值计算误差编写的对数wpVlnAI运算程序）-Hidden Markov chain model and routines (including forward, backward mgZjogo algorithm, Viterbi decoding, and in order to reduce the probability of numerical computation error of th
vfvzsgwm
- 隐马尔可夫链模型和例程（包括前向、WUXXNVq后向算法、Viterbi解码以及为了减少概率数值计算误差编写的对数QFWaSvZ运算程序）-Hidden Markov chain model and routines (including forward, backward WUXXNVq algorithm, Viterbi decoding, and in order to reduce the probability of numerical computation error of th
vhgbhapr
- 隐马尔可夫链模型和例程（包括前向、COKXJjj后向算法、Viterbi解码以及为了减少概率数值计算误差编写的对数chORRbP运算程序）-Hidden Markov chain model and routines (including forward, backward COKXJjj algorithm, Viterbi decoding, and in order to reduce the probability of numerical computation error of th
HMM
- 隐马尔科夫模型工具箱，readme文档介绍了该工具箱的使用方法-Hidden Markov Model (HMM) Toolbox written by Kevin Murphy (1998). Seehttp://www.ai.mit.edu/~murphyk/Software/hmm.html for details. Models dhmm = HMM with discrete output mhmm = HMM with mixture of G
HMM--Sim-vc6
- 非常值得参考的 隐马尔可夫识别代码，VC6编译-Visualization of the HMM demo code
HMM
- HMM 隐马尔科夫程序范例 初学者的学习程序-HMM Hidden Markov program examples for beginners learning process
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.
hmmspeechrecog
- 这个程序是使用隐马尔科夫模型进行0-9十个汉语数字的语音识别，程序中包含对语音文件的预处理，求取特征参量，训练和识别程序。-This program is the use of hidden Markov model of Chinese speech recognition 0-9 ten numbers, program includes pre-processing voice files, obtaining characteristic parameters, training and
HMM
- 隐马尔科夫模型的C++实现，注释详细，算法可靠-HMM C++
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