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kpca
核主成分分析法,用matlab实现,极为精彩.不可错过(Kernel Principal Component Analysis method, using matlab realize, is extremely exciting. Not to be missed)
- 2008-08-18 19:03:01下载
- 积分：1
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yuyinxinhaochuli
语音信号处理中的所有基本的算法的代码（C语言版）(Speech signal processing algorithms in all the basic code (C language version))
- 2010-10-22 16:50:49下载
- 积分：1
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60368809
memcached资源demo(已调试通过)(Memcached Resource demo (Debug passed))
- 2019-05-09 19:14:17下载
- 积分：1
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20080426
信息融合方面得例题，对已知要求的目标，利用动态矩阵控制（DMC）使其达到期望值。所有程序均已通过调试。希望对大家有所帮助(Example of information integration have on the known requirements of the target, the use of Dynamic Matrix Control (DMC) to reach the expectations. All have been through the debugging process. I hope all of you to help)
- 2008-04-26 13:07:28下载
- 积分：1
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Voice_Conversion_1
基于GMM模型实现语音转换,通过GMM模型对谱包络的建模，实现男女，个性化语音之间转换(Voice conversion using GMM model)
- 2012-02-15 12:18:18下载
- 积分：1
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spetro.m
语音信号的语谱图生成函数，function [ ] = spetro(Winsiz, Shift, Base, Mode, Gray)，5个参数分别为帧长、帧移、取值门限（一般设为0）、彩色模式、灰度模式(This is a matlab function for creating speech spectrogram.)
- 2015-07-04 11:52:18下载
- 积分：1
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SMI
智能天线波束形成的LMS、SMI、RLS算法的程序(Smart antenna beamforming of LMS, SMI, RLS algorithm procedure)
- 2020-12-14 15:19:14下载
- 积分：1
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KarmanFilter
卡尔曼滤波器，demo中可以预测点的轨迹(Kalman filter, demo predictable point in the trajectory)
- 2020-12-18 16:29:10下载
- 积分：1
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HMM_GMM
一个有效的，可以直接运行的HMM—GMM代码，而且带有语音数据。不存在任何障碍，值得初学者下载的浅显易懂的例子。(An effective, the HMM-GMM code that can be run directly, and with the voice data. There are no obstacles, beginners should download easy to understand examples.)
- 2012-12-16 00:09:34下载
- 积分：1
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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；train.m是训练程序；main.m是训练程序的脚本文件；recog.m是识别程序。(hmm HMM algorithm file using speech recognition in noisy environments. Which is the endpoint detection process vad.m mfcc.m procedure is to calculate the MFCC parameters pdf.m function is calculated for a given observation vector of the Gaussian probability density function of output probability mixture.m is to calculate the observation vector for a HMM state output probability of observation vector is the number of Gaussian mixture per state output probability of the linear combination getparam.m before the calculation of the probability function, backward probability, calibration coefficients and other parameters viterbi.m is Viterbi algorithm implementation baum.m Baum-Welch algorithm to achieve inithmm.m is the initialization parameters train.m is the training program main.m training program is a script file recog.m is to identify procedures.)
- 2010-09-16 20:51:49下载
- 积分：1
