搜索资源列表
0-9(Speech-Recogenition)用matlab仿真0到9十个数字的语音识别
- 用matlab仿真0到9十个数字的语音识别 1、对语音的WAV文件和LAB文件进行处理，产生十个文件，每个文件对应于一个数字，存贮着该数字的波形文件。（shujuzhengli.m） 2、分别利用上面十个文件训练出十个HMM模板，具体方法是：首先将语音的波形文件分帧，以128个点为一帧，帧移为64，每一帧通过mfcc.m计算出13个系数，随着波形的长度不同，一个语音文件可以计算得到13*N个系数，截取13*15的矩阵（mfcc系数）用作训练数据。一般一个HMM模板用20组mfcc系数
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.
HMM.rar
- 自己用c语言写的关于语音识别技术中最为流行的匹配算法hmm，相当有用,C language used to write their own on the voice recognition technology in the most popular matching algorithm hmm, very useful
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.
HTK_basic_tutorial.rar
- HMM模型应用领域很多，HTM只要是用于语音识别。这是它的basic tutorial.它是用C语言实现的开源软件,HMM model for many applications, HTM as long as it is used for speech recognition. This is its basic tutorial. It is realized by C language open source software
Voice-recognizition
- 语音识别 隐马尔科夫模型 HMM算法 VC++开发环境下的源代码-voice recognizition
hmm
- 最近实现的hmm，很实用的，语音识别有用-Recently achieved hmm, very practical and useful speech recognition
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
- 隐马尔科夫模型（HMM）算法 c++实现，于20世纪70年代在语音识别领域取得巨大的成功,之后被广泛应用到自然语言处理的各个领域,成为基于统计的自然语言处理的重要方法. -failed to translate
hmm
- hmm语音识别程序，能根据参数，训练模型和计算出模型距离，对于学习和编写有关隐马尔科夫语音识别程序很有帮助-hmm speaker recognition program，use it you can directly write an hmm program easly.
hmm-__
- hmm在语音识别方面的简介与数学实现，主要是初步介绍hmm -hmm speech recognition profile and mathematics achievement of
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
- 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
MATLAB-HMM
- HMM与小波神经网络的语音识别系统研究，此系统得到了验证-HMM and wavelet neural network speech recognition system, this system has been verified
hmm
- hmm语音识别程序嵌入式学习的同志们赶紧下载-hmm embedded speech recognition program to learn quickly download comrades
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
35973510VAD-DTW-HMM
- 基于动态时间规整与隐马尔科夫模型的自动语音识别系统(Automatic speech recognition system based on dynamic time warping and hidden Markov model)
hmm声音识别
- CHMM语音识别程序，十个字的识别。隐式马尔科夫模型。(CHMM Speech Recognition Program, Recognition of Ten Characters)
各种语音识别算法的MATLAB代码
- 基于HMM的语音识别算法和毕设例程，包括数据。(HMM-based speech recognition algorithm and complete routine, including data.)
新建文件夹 (4)
- 基于matlab的HMM语音识别仿真，通过matlab实现对0-9数字的语音识别(HMM speech recognition simulation based on MATLAB)