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Description: 在基于hmm的语音识别中计算前向概率，后向概率以及各种参数结构的源代码。-based on voice recognition to the calculation of the probability that after the probability of various parameters of the structure of the source code.
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Size: 1205 |
Author: 吴斌 |
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Description: HMM模型中参数计算的方法,包括前向概率,后向概率等用M语言来实现,已经调试通过
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Size: 1201 |
Author: lgr |
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Description:
function GetParam(Vx,Vy)
global gh
global gf
global gu
global gr
global gd
global gff
global gM
％global gn
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Size: 4480 |
Author: yuan |
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Description: 在基于hmm的语音识别中计算前向概率，后向概率以及各种参数结构的源代码。-based on voice recognition to the calculation of the probability that after the probability of various parameters of the structure of the source code.
Platform: |
Size: 1024 |
Author: |
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Description: HMM模型中参数计算的方法,包括前向概率,后向概率等用M语言来实现,已经调试通过-HMM model parameters, including the probability of the former to the latter probability, such as to use language to realize M have been debugging through
Platform: |
Size: 1024 |
Author: lgr |
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Description:
function GetParam(Vx,Vy)
global gh
global gf
global gu
global gr
global gd
global gff
global gM
％global gn -function GetParam (Vx, Vy) global gh global gf global gu global gr global gd global gff global gM global gn
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Size: 4096 |
Author: |
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Description: 股票软件源码，支持实时接受，数据分析，VC7.1，VC8.0工程-Shares of software source code, supports real-time to receive, data analysis, VC7.1, VC8.0 project
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Size: 7688192 |
Author: guid |
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Description: 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；train.m是训练程序；main.m是训练程序的脚本文件；recog.m是识别程序。-hmm HMM algorithm file using speech recognition in noisy environments. Which is the endpoint detection process vad.m mfcc.m procedure is to calculate the MFCC parameters pdf.m function is calculated for a given observation vector of the Gaussian probability density function of output probability mixture.m is to calculate the observation vector for a HMM state output probability of observation vector is the number of Gaussian mixture per state output probability of the linear combination getparam.m before the calculation of the probability function, backward probability, calibration coefficients and other parameters viterbi.m is Viterbi algorithm implementation baum.m Baum-Welch algorithm to achieve inithmm.m is the initialization parameters train.m is the training program main.m training program is a script file recog.m is to identify procedures.
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Size: 538624 |
Author: 于军 |
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Description: Inside a test, access the test parameter with the GetParam() method.
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Size: 20480 |
Author: bexkkg |
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