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Description: 语音识别中经典的HMM算法，包括产生序列、测试和参数训练，由C语言编写。- In speech recognition classical HMM algorithm, including has
the sequence, the test and the parameter training, compiles by the C
language.
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Description: HMM模型训练用的Forward-Backward Algorithm，包括几年WAV文件和测试用的TCL脚本文件-HMM training with the Forward-Backward Algorithm. years, including WAV and test the TCL script file
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Author: liangtao |
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Description: 实现了隐马尔可夫模型的算法。可用向前算法和向后算法对模型进行训练。-Realize the hidden Markov model algorithms. Algorithm can be used forward and backward algorithm for training the model.
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Author: waterlily |
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Description: This code implements in C++ a basic left-right hidden Markov model
and corresponding Baum-Welch (ML) training algorithm. It is meant as
an example of the HMM algorithms described by L.Rabiner (1) and
others. Serious students are directed to the sources listed below for
a theoretical description of the algorithm. KF Lee (2) offers an
especially good tutorial of how to build a speech recognition system
using hidden Markov models.
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Author: aaaaaaa |
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Description: Hidden_Markov_model_for_automatic_speech_recognition
This code implements in C++ a basic left-right hidden Markov model
and corresponding Baum-Welch (ML) training algorithm. It is meant as
an example of the HMM algorithms described by L.Rabiner (1) and
others. Serious students are directed to the sources listed below for
a theoretical description of the algorithm. KF Lee (2) offers an
especially good tutorial of how to build a speech recognition system
using hidden Markov models.
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Size: 23552 |
Author: |
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Description: HMM隐马尔科夫模型源码，实现模型的训练-Hidden Markov Model HMM source, the realization of model training
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Author: 沈立金 |
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Description: 一种HMM训练的源程序，调试可以通过，说明比较详细-A HMM training source, debugging can explain in more detail
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Size: 11264 |
Author: 万春 |
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Description: 本文章描述了隐马尔科夫（HMM）在语音识别中的应用，介绍了评估、解码、训练-This article describes the hidden Markov [HMM] in speech recognition applications, introduce an evaluation, decoding, training
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Author: 陈彪 |
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Description: hmm model, training phase data has to be given to the model .-hmm model, training phase data has to be given to the model .
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Author: mahesh |
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Description: hmm的实现，包括训练、解码、评估3个主要部分。压缩包中有hmm教程-hmm realization, including three main parts-training, decoding and evaluation . There is a Hmm course in the package.
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Author: wangz |
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Description: HMM（隐马尔可夫模型）的matlab算法代码-HMM (Hidden Markov Model) algorithm matlab code
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Size: 34816 |
Author: 刘子豪 |
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Description: ：为了使应力变异在顽健语音识别系统中能够达到较好的识别效果，研究了基于隐马
尔可夫模型(HMM)的自适应技术，提出了将最大后验概率(MAP)和最大似然回归方法(MLLR)用
于应力变异语音的自适应中。实验结果表明，与基本系统相比，两种方法均有效地提高系统识别
率。以SD为初始模型的最大后验概率方法在150个训练样本时识别效果最好，可以达到90．4％ 。-: In order to stress variation in the robustness of speech recognition system can achieve better recognition results, based on Hidden Markov Model (HMM) of adaptive technology, put forward a maximum a posteriori probability (MAP) and Maximum Likelihood regression (MLLR) for the stress of the adaptive variation in voice. The experimental results show that compared with the basic system, both methods are effective to improve the system recognition rate. SD as the initial model to the maximum a posteriori probability method in 150 training samples to identify the best, can reach 90.4 .
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Author: 尹江波 |
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Description: Matlab HMM training code
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Author: awaismahmood |
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Description: This paper presents a hybrid framework of feature extraction and hidden Markov modeling (HMM) for two-dimensional pattern recognition. Importantly, we explore a new discriminative training criterion to assure model compactness and discriminability. This criterion is derived from the hypothesis test theory via maximizing the confidence of accepting the hypothesis that observations are from target HMM states rather than competing HMM states. Accordingly, we develop the maximum confidence hidden Markov modeling (MC-HMM) for face recognition.
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Author: rupesh |
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Description: this source code is for Training ,HMM for speech recognition
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Author: sillyp |
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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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Author: 于军 |
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Description: hmm 隐马尔科夫模型训练在C++环境下程序代码-hmm HMM training environment in C++ code
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Author: xiao3 |
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Description: mel frequency converting and training HMM model
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Size: 3072 |
Author: baran |
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Description: 基于隐马尔科夫的中文词性标注系统的C++源代码，包括训练集和测试集语料库，单词量和词性数目都没有写死，可适应任意大的训练和测试数据集，程序已经过优化，一次标注只需要不到10秒的时间。-Based on Hidden Markov of the Chinese part of speech tagging system in C++ source code, including the training set and test set corpus, vocabulary and speech numbers are not coded, can be adapted to arbitrarily large training and test data sets, the program has been optimized, a mark only need less than 10 seconds.
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Author: 蒋智威 |
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Description: matlab的HMM训练程序，可用于语音信号的训练与处理。-matlab HMM training program, can be used for the training of the voice signal processing.
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Size: 34816 |
Author: 江川 |
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