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mymatla3
- 几种语音增强关于mmse算法，维纳滤波，掩蔽增强
LMS
- LMS算法实现自适应滤波 clear close all clc N=10000 设置仿真长度 信号产生参数设定 a1=-0.195 a1=-1.5955 a2=0.95 R0=[1,a1,a2 a1,1+a2,0 a2,a1,1] p=[1,0,0] r=inv(R0)*p 计算理论自相关函数 R=[r(1),r(2) r(2),r(1)] 生成理论自相关矩阵 p1=[r(2),r(3)] 生成互相关 h=inv(R)
VariableNoisySpeechEnhancementAlgorithmPerformance
- 语音增强是影响语音识别系统性能的重要成分。为了比较语音增强算法的性能，采用Matlab软件进行了数值仿真，对不同噪声环境下的语音用3种不同的方法进行降噪，采用信噪比、端点检测等方法来降噪效果，并对几种增强算法的性能进行了比较分析。结果表明，在变噪声环境下短时谱MMSE法最佳，谱减法和维纳滤波法各有优点。-Speech enhancement of voice recognition is an important component of system performance. In order
zengqiang
- 语音增强算法综述，还可以，基本的谱减法，维纳滤波法都有-Overview of speech enhancement algorithm, can also basic spectral subtraction, Wiener filtering method has
yuyin-zengqiang
- 介绍了近年来语音增强的一些算法，包括基本的减谱法，维纳滤波法等-Introduced in recent years, speech enhancement algorithms, including the basic spectral subtraction, Wiener filtering method
weina
- 自己编写的维纳滤波的算法，有清楚的注释，基于提取初始寂静噪声的滤波算法。-Wiener filtering algorithm, I have written a clear comment the initial silence noise filtering algorithm based on the extraction.
WienerScalart96
- 维纳滤波语音增强算法:语音增强算法的维纳滤波器，通过scalart 1996提出的实现。使用一个决策指导的方法跟踪的先验信噪比。请注意，该信号的第一0.25sec用于模型的噪声，即，它是假定的演讲之后，0.25sec开始-Wiener Filter for Noisy Speech Enhancement, implemented as proposed by Scalart 1996. Uses a decision directed method to track the a priori
speech-enhancement-
- 语音增强算法，基于人耳听觉掩蔽的维纳滤波-Subspace speech enhancement algorithm based on human auditory masking Wiener filter
pujian
- matlab实现的传统语音降噪声使用的谱减增强算法，含有维纳滤波算法，请大家参考学习。(Matlab implementation of the traditional voice reduced noise spectrum enhancement algorithm, contains Wiener filtering algorithm, please refer to the study.)