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get_base_frequency
用自相关函数的方法获得语音信号的基频，来识别男女(Baseband, using the autocorrelation function method to obtain a voice signal to identify sexes)
- 2013-01-09 10:16:47下载
- 积分：1
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MATLAB-lesson-plans
matlab程序的PPT教案及实例源代码，以及相关矩阵概念的补充(Matlab PPT example case and source code, and related matrix of the concept of added)
- 2012-04-11 15:40:43下载
- 积分：1
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MATLAB-IMAGE
matlabr软件应用的图形图像处理，很专业的教材，事例很多(matlabr graphic image processing software applications, very professional materials, many examples)
- 2013-11-22 17:25:08下载
- 积分：1
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Matlab-Mapping
说明： 用matlab实现世界地图调用和显示，可以任意控制范围(using Matlab world map and calls, it can be arbitrary control)
- 2006-03-23 11:43:48下载
- 积分：1
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BDFA-RK-gui
codings for fiber optics
- 2013-03-11 17:17:03下载
- 积分：1
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Electromagnetic_Ban
Electromagnetic Band Gap Structures in Antenna Engineering
- 2014-12-05 12:19:38下载
- 积分：1
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ArithmeticEnc
Matlab code to encode given strings of letters using arithmetic coding and decode strings from the given tag values
- 2013-05-03 00:23:52下载
- 积分：1
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importSTDF
Extracts contents of an STDF (Standard Test Data Format) file, per the STDF Specification V4
- 2010-05-20 01:18:23下载
- 积分：1
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PairsTrading_FEX
配对交易和算法交易模拟交易示例，matlab环境下相应的M文件(Pairs trading and algorithmic trading simulated trading example, the M-file in the Matlab environment)
- 2012-08-29 22:51:43下载
- 积分：1
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Laplace
传统的短时谱估计语音增强算法通常假设语音谱分量相互独立，没有考虑语音谱分量间的相关性。针对这
一问题，该文提出一种新的基于多元Laplace分布模型的短时谱估计算法。首先，假设语音的离散余弦变换(DCT)
系数服从多元Laplace分布，以此利用谱分量间的相关性；在此基础上，利用多元随机矢量的高斯尺度混合模型表
示，推导得到语音DCT系数矢量的最小均方误差(MMSE)估计的解析表达式；并进一步推导了基于该分布模型的
语音存在概率，对最小均方误差估计子进行修正。实验结果表明，该算法在抑制背景噪声和减少语音失真等方面优
于传统的语音增强方法。(The spectral components of speech are usually assumed to be independent in traditional short-time
spectrum estimation, which is not the case in practice. Tosolve this problem, a new speech enhancement algorithm
with multivariate Laplace speech model is proposed in this paper. Firstly, the speech Discrete Cosine Transform
(DCT) coefficients are modeled by a multivariate Laplace distribution, so the correlations between speech spectral
components can be exploited. And then a Minimum-Mean-Square-Error (MMSE) estimator based on the proposed
model is derived using a Gaussian scale mixture representation of random vectors. Furthermore, the speech
presence uncertainty with the new model is derived to modify the MMSE estimator. Experimental results show
that the developed method has better noise suppression performance and lower speech distortion compared to the
traditional speech enhancement method. )
- 2014-01-18 10:44:40下载
- 积分：1
