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speech classification
- 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
baum
- 在语音识别的hmm模型中使用matlab对语音信号进行训练的把baum源代码-in Speech Recognition hmm use Matlab model of voice signals training source put BAUM
matlabyuyinshibiesuanfa
- matlab语音识别算法，包括预处理，特征提取，训练，识别算法，基于hmm模型-Matlab speech recognition algorithms, including preprocessing, feature extraction, training, recognition algorithm based on model hmm
HTK-samples-3.4
- 隐马项目\\HTK-samples-3.4.zip 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 -Hidden projects \\ HTK-samples - 3.4.zip this is a basis for the HMM Voice training pattern source from which one can understand how HMM parameters extracted and How to Tell
Forward-BackwardAlgorithm
- 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 scr ipt file
HMMmodel
- 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
hmm-1.03.tar.gz
- 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.
Great_Outdoors_by_sandals82.zi
- 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
hmm.rar
- 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.
UsingHTK
- HTK 应用，训练数据，HCOPY，辨识语音，HMM,-HTK applications, training data, HCOPY, voice recognition, HMM,
HMM-DL
- 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
generatesample
- 生成《matlab扩展编程》中对于HMM训练的samples.mat程序，自己编写-Generation ‘matlab programming expansion’ in the HMM training samples.mat procedures, written by myself
hmmfan
- 一个用于 词性标注的 HMM程序。 包含 训练和测试功能。-One for the HMM-speech tagging procedures. Includes training and testing.
HMM
- ：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 recogni
ASR_matlab
- 语音识别的MATLAB代码，包括用于测试的语音，实现了利用HMM(隐含马尔可夫)和DTW(动态规划)两种方法的实现。-ASR use HMM and DTW method include wave files use for test and training.
HMM_Training_in_speech
- 改进的HMM训练方法在语音识别中的应用,论文-Improved HMM training methods in speech recognition applications, papers
hmm
- 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
voice
- 在分析语音特征提取方法基础上提出一种改进组合算法,并采用HMM 声学模型和Viterbi 算法进行模式训练和识别.-Speech feature extraction method in the analysis based on the combination of an improved algorithm, and using HMM acoustic model and the Viterbi algorithm for model training and recognition.
HMM-and-mel-feature-extraction
- mel frequency converting and training HMM model
HMM
- 隐马尔科夫模型源代码，隐马尔科夫模型的训练，输入序列得到隐马尔科夫模型。-Hidden Markov model source code, training of hidden Markov model, the input sequence hidden Markov model.