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LMSyuyin
- 本文将现实中采集到的一段语音加上了高斯白噪声，利用了LMS算法，将噪声滤除，仿真效果良好-This article will be collected in reality a section of voice coupled with a Gaussian white noise, using the LMS algorithm, the noise filtering, simulation results
lq
- 语音信号的数字滤波处理 加入高斯噪声再滤除,信噪比小于20分贝-Voice signal digital filter handle add further filtered Gaussian noise, signal to noise ratio is less than 20 dB
GAUSS
- Gray先生的大作，描述高斯混合矢量量化方法进行说话人识别的方法-Daisaku Mr. Gray describes the Gaussian mixture vector quantization approach to speaker recognition method
MixtGaussian
- Gaussian mixture model
GMM
- :高斯混合模型(GMM)是一种经典的说话人识别算法，本文在实现其算法的同时，主要模拟了不同噪声环境情况下高斯混合模型 (GMM)的杭嗓声性能，得到了一些有益结论。 -Gaussian mixture model (GMM) is a classic speaker recognition algorithms, this algorithm at the same time in fulfilling its main simulated environmental conditions
GMM-latentSpace-v2.0
- Gaussian Mixture Model
GmmTrainTestLBG
- it is a Gaussian Mixture Model(MATLAB version) for training and testing with some list or file. and it has references in enclosed rar file
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
attachments_2011_07_21
- this code is for voice recognition using gaussian mixture modelling developed in matlab environment. unauthorised voice will be rejected and only those recognized voice are accepted and played back
MATLAB-Speech-and-noise-GUI
- MATLAB编写语音加噪，加入高斯噪声，并且有对话框显示-MATLAB voice noise by adding Gaussian noise, and the dialog box is displayed
Speech Encoding - Frequency Analysis MATLAB
- The speech signal for the particular isolated word can be viewed as the one generated using the sequential generating probabilistic model known as hidden Markov model (HMM). Consider there are n states in the HMM. The particular isolated speech sig
laplacian
- pengolahan citra digital dengan matlab menggunakan metode laplacian of gaussian