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col
- 一个什么都能做的语音处理软件，Manual segmentation of speech waveforms - creates label files which can be used to train speech recognition systems Waveform editing - cutting, copying or pasting speech segments Formant analysis - displays formant tracks of F1,
coleawin_Matlab_Speech_Analysis
- 波形和频谱双显示 记录讲话直接进入MATLAB 手动分割讲话波形-创建标签文件 波形编辑-切割，复制或粘贴 共振峰分析-显示共振轨道的F1 ， F2和F3 基音分析 过滤工具-语音信号滤波器截止频率 比较工具-比较两个波形的频谱距离使用几种措施 增加噪声-Dual time-waveform and spectrogram displays Records speech directly into MATLAB NEW Displays time-a
chxu
- 本程序用于测量增强语音与纯净语音的对数谱距离，用于语音增强。对数谱距离越小，表明增强语音与纯净语音越接近，增强语音质量越好；反之，则增强语音质量越差。-Calculates the average log-spectral distance between CLEAN and NOISY signals. Frames are 25ms long with 60 percent (15ms) overlap, hamming windowed. RS is the remove
colea
- COLEA is a Matlab Speech Processing Toolkit with a graphical user interface. This program can be used to edit speech waveforms (cut, copy or paste selected speech segments) and compute spectrogramss. It includes several speech related tools incl
shibie
- 基于奇异值分解的人脸识别方法 梁毅雄 龚卫国 潘英俊 李伟红 刘嘉敏 张红梅 提出了一种将傅里叶变换和奇异值分解相结合的人脸自动识别方法.首先对人脸图像进行傅里叶变换,得到其具有位移不变特性的振幅谱表征.其次,从所有训练图像样本的振幅谱表征中给定标准脸并对其进行奇异值分解,求出标准特征矩阵,再将人脸的振幅谱表征投影到标准特征矩阵后得到的投影系数作为该人脸的模式特征.然后,对经典的最近邻分类器算法进行了改进,并采用模式特征之间的欧式距离作为相似性度量,从而完成对未知人脸的识别.采用ORL
LogSpectralDistance_LP
- 计算源信号和噪音之间的频谱差，用于噪音估计等。-Calculates the average log-spectral distance between CLEAN and NOISY signals
distispf
- 声音处理的MATLAB程序：DISTISPF -calculates the Itakura-Saito spectral distance between power spectra
LogSpectralDistanceSignal
- Log Spectral Distance Signal
Final_v2
- SpectralClustering performs one of three spectral clustering algorithms (Unnormalized, Shi & Malik, Jordan & Weiss) on a given adjacency matrix. SimGraph creates such a matrix out of a given set of data and a given distance function. The code ha
Tchxuziph
- 本程序用于测量增强语音与纯净语音的对数谱距离，用于语音增强。对数谱距离越小小，表明增强语音与纯净语音越接近，增强语音质量越好；反之，则增强语音质量越差。 -The procedure used to measure to enhance the voice and the pure voice of the logarithmic spectral distance for speech enhancement. More small log spectral distance, the c
cesuyi
- 车辆监测用测速雷达是依据多普勒效应原理实现的。由雷达发出一束微波，遇被测目标（车辆）时微波被反射回来，再由雷达接收反射波。如果目标相对于雷达有距离上的运动，反射波的频率将与发射频率发生差异，而这种差异的大小正比于目标与雷达的相对运动速度。于是，雷达通过检测反射波频率和发射波频率的差，就可以计算出被测车辆的移动速度。本次课程设计是利用离散付里叶变换进行频谱分析，设计数字滤波器组，并对滤波器组加窗降低副瓣，通过频域方法测量速度。-Vehicle monitoring using radar gu
ashgillman-MOS-a337bc9
- LOG spectral distance which is used in mmse
Speech-endpoint-detection
- 双门限法,双门限法的改进和推广,相关法的端点检测,方差法的语音端点检测,谱距离法的端点检测，谱熵在端点检测中的应用-Double threshold method, double threshold method improvement and promotion, endpoint detection correlation method, endpoint detection variance method, the endpoint detection spectral distance
AccResSpec
- 给定离散地震动加速度数据a、反应谱控制周期点tp、离散时间间隔dt、阻尼比z，计算地震动加速度反应谱rspa以及最大反应值出现的时刻tMax。-Given the discrete ground-motion acceleration data a, the response spectral controlling period tp, the discrete time distance dt, and the damping ratio z, calculate the ground-mo
log--spectral-distance-for-VAD
- 语音增强之前先进行端点检测，对有话帧和噪声帧作不同处理，利用对数频谱距离进行端点检测。-Speech enhancement for endpoint detection, before to have words for different frame and noise frame processing, using logarithmic spectrum distance for endpoint detection.
aqhwptts
- 现代信号处理中谱估计在matlab中的使用，是一种双隐层反向传播神经网络，IDW距离反比加权方法，使用混沌与分形分析的例程，应用小区域方差对比，程序简单，快速扩展随机生成树算法。- Modern signal processing used in the spectral estimation in matlab, Is a two hidden layer back propagation neural network, IDW inverse distance weighting metho
nargthwr
- Matlab实现界面友好，BP神经网络用于函数拟合与模式识别，MIMO OFDM matlab仿真,IDW距离反比加权方法，对信号进行频谱分析及滤波，使用高阶累积量对MPSK信号进行调制识别。- Matlab to achieve user-friendly, BP neural network function fitting and pattern recognition, MIMO OFDM matlab simulation, IDW inverse distance weighting
dxhhncsm
- 有CDF三角函数曲线/三维曲线图，现代信号处理中谱估计在matlab中的使用，直线阵采用切比学夫加权控制主旁瓣比，仿真图是速度、距离、幅度三维图像，基于互功率谱的时延估计，MIMO OFDM matlab仿真。- There CDF trigonometric curve/3D graphs, Modern signal processing used in the spectral estimation in matlab, Linear array using cut than learni
logspectral
- finds log spectral distance of speech samples
谱聚类11
- 进一步采用基于距离和曲线形态的双尺度相似性度量谱聚类算法进行聚类处理，通过求n 个二次规划问题，就可以求得相似度矩阵W，降低了谱聚类算法对参数的敏感性，使算法更稳定(Furthermore, we use the two-scale similarity measure spectrum clustering algorithm based on distance and curve shape to carry out clustering. By finding n quadratic pr