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0下载:
语音信号处理,matlab源码
edp.m enframe.m lpc.m mel.m mfcc.m
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7下载:
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
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语音特征参数提取方法研究(lpcc,mfcc),Speech feature extraction method. Pdf
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基于MATLAB的语音识别MFCC特征提取算法,MATLAB-based speech recognition MFCC feature extraction algorithm
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语音识别中的MFCC详解,主要对MFCC的matlab实现进行了仿真。-The MFCC Detailed in the speech recognition
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完成基于MFCC的语音识别系统仿真,文件中带有完成语音识别训练的源文件-Completion of MFCC-based speech recognition system simulation, document the completion of speech recognition training with the source file
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Speech melbank,energy sectrum,Computes and returns the mfcc coefficients for a speech signal
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本文件包含语音识别语音识别中一些算法,加框处理的算法,以及进行mfcc和倒谱的算法,用matlab算法实现。另外还包含一个音频文件。-This document contains the speech recognition in a number of speech recognition algorithms, the algorithm deal with framing, as well as cepstrum mfcc and the algorithm implementation
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语音信号的初始化及MFCC特征提取算法,附带测试用语音信号-Voice signal and the initialization MFCC feature extraction algorithm, with test speech signal
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matlab中编写的提取语音信号的mf-matlab prepared in the extraction of speech signals mfcc
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介绍语音识别中特征参数mfcc的改进算法,对于语音识别和语音合成有更好的效率-Introduction of speech recognition feature parameters mfcc improved algorithm for speech recognition and speech synthesis for better efficiency
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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
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语音识别mfcc美尔倒谱系数全过程的matlab程序,运行测试能出结果,希望对你们有用,实在没点数才把自己压箱底的东西拿出来,-Speech Recognition mfcc Mel cepstrum whole process of matlab program, run test can the result, I hope helpful for you, there is really no point only then their things out of bottom press
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Speech recognition using mfcc and lpc in matlab
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MFCC失真语音评价,matalab详细程序(MFCC wrote by MATLAB, is used to assess speech quality)
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基于mfcc参数的语音识别,matlab代码,可以对孤立语音词识别(Speech recognition based on MFCC parameters, matlab code, can identify isolated speech words)
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基于MFCC的GMM的语音识别,先是通过MFCC提取语音信号的特征向量,然后用GMM进行分类识别(Voice recognition of GMM based on MFCC.First, the feature vectors of speech signals are extracted through MFCC, and then classified by GMM.)
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采用MFCC方法提取训练集样本或测试集样本语音特征参数的MATLAB程序,仿真时需先将voicebox语音处理工具箱添加到MATLAB软件中(The MFCC method is used to extract the MATLAB program of the training set sample or the test set sample speech feature parameters. The voicebox voice processing toolbox is added t
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MATLAB下,采用DTW算法进行语音识别,其中特征参数的提取(MFCC)(MATLAB, DTW algorithm is used to recognize speech, and the extraction of feature parameters (MFCC).)
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matlab实现MFCC的提取
输入语音离散信号和采样频率
输出13维静态MFCC(extraction of MFCC
Input speech discrete signal and sampling frequency
Output 13 dimensional static MFCC)
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