搜索资源列表
hmm--matlab
- 用matlab编写的基于hmm模型的语音识别程序，但是调试好像有些问题，欢迎指正:)-prepared using Matlab model based hmm voice identification procedures, but there seems to be some debugging, and welcomes the correction :)
hmm-matlab
- matlab实现的基于HMM模型的语音识别系统，很实用！-Matlab achieve the HMM-based speech recognition systems, a very practical!
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
- 对 隐马尔科夫工具包的使用及安装进行说明，主要是在matlab下运用
dtw
- 语音信号识别的应用，算法使用的是hmm，编写效率高，经过了验证。-Application of voice signal recognition algorithm using hmm, the preparation of high efficiency, through the verification.
HMM
- 阴马尔可夫模型的实现，还有一些例子，文件较多，可用与HMM的语音识别-The realization of Markov model overcast, there are some examples, the document more usable and HMM Speech Recognition
HMM
- hMM的前向算法 ,详细的的介绍了算法的过程，并又程序的编程说明-hmm the method of hmm
hmm
- Source codes used in Hidden Markov Model (HMM)
HMM
- 基于统计的分词，采用隐马尔可夫模型，并有实验报告-Based on statistics segmentation using hidden Markov models, and there is experimental report
hmm
- speech recognition using hidden markov model making it speaker independent Using Matlab 7.5[2008b]
viterbi
- viterbi算法详细介绍，结合例子说明hmm模型-Details viterbi algorithm, combined with examples of model hmm
HMM
- hidden markove modeling for text dependent speaker recognition
DigRecog
- Demonstration for Digit Recognition (and later speech recognition) using HMM Models
HMMforspeechrecogntion
- 一个可执行的HMM语音识别程序例程，实现了对10个数字音的识别程序，包含了HMM语音识别中的分段，MFCC特征提取，Baum-Welch训练，及Viterbi等算法，通过此例程可以很好的理解HMM的算法原理-An executable HMM-based 10 digits speech recogntion program example. this code zip file includes segmentation, MFCC feature extraction, Baum-Welc
hmm
- 基于语音信号工具箱的隐马尔科夫HMM模型的说话人识别，请联系lishicheng64@126.com-Speech signal based on HMM toolbox Hidden Markov Model speaker recognition, please contact lishicheng64@126.com
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
HMM-Introdunction
- 关于HMM入门、HMM在语音识别中应用的一些经典资料和Matlab实现代码，包含中文资料-Getting Started on the HMM, HMM in speech recognition applications to achieve some of the classic data and Matlab code that contains the Chinese data
7c2f6c56ed6d
- 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
HMM-speech-recognition-system
- 基于HMM模型的语音识别系统，在MATLAB中的程序实现-HMM-based speech recognition systems model
hmm-matlab-platform
- 基于matlab的hmm语音实验平台，包含了众多的实验程序，为语音识别工作提供参考-Matlab-based the hmm Voice experimental platform, contains a large number of experimental procedures, and provide a reference for the voice recognition work