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传统谱减与MCRA语音增强算法

于 2018-11-22 发布文件大小:221KB

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下载积分: 1 下载次数: 22

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代码说明：

传统语音增强算法，谱减法和MCRC算法，matlab源代码。(Traditional speech enhancement algorithm, spectral subtraction and MCRC algorithm, matlab source code.)

文件列表：

传统谱减与MCRA语音增强算法, 0 , 2017-10-10
传统谱减与MCRA语音增强算法\initialise_parameters.m, 4707 , 2017-05-03
传统谱减与MCRA语音增强算法\mcra_estimation.m, 876 , 2017-05-03
传统谱减与MCRA语音增强算法\mcra_main.asv, 1190 , 2017-05-06
传统谱减与MCRA语音增强算法\mcra_main.m, 1912 , 2017-05-07
传统谱减与MCRA语音增强算法\mcra_result.wav, 44844 , 2017-05-08
传统谱减与MCRA语音增强算法\myspectrogram.m, 13447 , 2017-05-03
传统谱减与MCRA语音增强算法\noise_estimation.m, 673 , 2017-05-03
传统谱减与MCRA语音增强算法\noisy.wav, 45102 , 2017-05-08
传统谱减与MCRA语音增强算法\outfile.wav, 35724 , 2017-05-06
传统谱减与MCRA语音增强算法\pujian_main.asv, 2637 , 2017-05-06
传统谱减与MCRA语音增强算法\pujian_main.m, 2817 , 2017-05-07
传统谱减与MCRA语音增强算法\pujian_result.wav, 44884 , 2017-05-08
传统谱减与MCRA语音增强算法\result.wav, 42604 , 2017-05-03
传统谱减与MCRA语音增强算法\specsub_ns.m, 6690 , 2017-05-03
传统谱减与MCRA语音增强算法\Thumbs.db, 31232 , 2017-05-08

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SPECTRUM_LMS
1、文件夹中包含了经典功率谱估计和自适应均衡算法两个实验的所有程序。 2、R.m、LMS.m、LMSmain.m为自适应均衡算法的程序： R.m用来计算输入信号的自相关矩阵及其特征值； LMS.m为时域LMS算法，用统计的方法仿真得出不同信道参数和不同步长下的学习曲线； LMSmain.m为实验主程序，按照实验要求中的具体数据得到实验结果和曲线。 3、functionx.m、fzhouqitu.m、spectrum.m、bt.m、bart_lett.m、welch.m、SPECTRUMmain.m为经典谱估计的程序： functionx.m产生需要进行谱估计的函数； fzhouqitu.m用来计算信号周期图的函数； spectrum.m是用周期图法进行谱估计的函数 bt.m是用BT图法进行谱估计的函数 bart_lett.m是用BARTLETT法进行谱估计的函数 welch.m是用WELCH法进行谱估计的函数 SPECTRUMmain.m是主程序，按照实验要求中的具体数据得到实验结果和曲线。 (a document folder contains the classic power spectrum estimation and adaptive equalization algorithm for the two experiments all the procedures. 2, R.m, LMS.m, LMSmain.m adaptive equalization algorithm for the procedure : R.m used to calculate the input signal and the correlation matrix eigenvalue; LMS.m too LMS algorithm, use statistical simulation method come to a different channel parameters and the synchronous learning curve; LMSmain.m main program for the experiment, according to the experimental requirements of the specific data and the curve of the experimental results. 3, functionx.m, fzhouqitu.m, spectrum.m. bt.m, bart_lett.m, welch.m. SPECTRUMmain.m classical spectrum estimation procedures : functionx.m have a need for spectrum estimation function; fzhouqitu.m used to calculate t)

2007-04-29 17:54:54下载

积分：1
matlab
是一个语音识别的程序，有LPCC，MFCC等的代码，最后用SVM进行分类(Is a voice recognition program, there LPCC, MFCC and other code, the final classification with SVM)

2011-09-23 17:05:17下载

积分：1
HLMSSmatlaabe
这里主要对LMS算法及一些改进的LMS算法（NLMS算法、变步长LMS算法、变换域LMS算法）之间的不同点进行了比较，，在传统的LMS算法的基础上发展了LMS算法的应用。另一方面又从RLS算法的分析析中对其与LMS算法的不同特性进行了比较。 (Here the main difference between the LMS algorithm and improved LMS algorithm (NLMS algorithm, variable step size LMS algorithm, the transform domain LMS algorithm) comparison, the traditional LMS algorithm based on the development of the application of the LMS algorithm . On the other hand and from its different characteristics of the LMS algorithm of the analytical analysis of the RLS algorithm.)

2012-07-26 11:43:36下载

积分：1
FLMS
这是一个很好的频域分块自适应滤波的程序，应用于回声消除上，并与NLMS自适应滤波做了运行速度的比较,FLMS比NLMS快几十倍。(This is a very good frequency-domain block adaptive filtering procedure applied to echo cancellation, and comparison with the NLMS adaptive filter for speed, FLMS several times faster than the NLMS.)

2021-05-14 04:30:02下载

积分：1
FastICA
FastICA算法，用于信号的独立分量分析，在ICA的基础上加快了收敛速度，有更高的效率！并且增加了图象界面，使用方便！(FastICA algorithm, the signal for an independent component analysis, at the ICA on the basis of accelerating the convergence rate, a more efficient! And to increase the image user interface!)

2006-08-12 11:25:56下载

积分：1
BBS
基于FastICA相结合实现的语音信号的采集、随机混合，再通过盲分离将混合后的语音信号分离(Speech signal acquisition and random mixing based on FastICA, and then the mixed speech signal is separated by blind separation.)

2020-06-25 12:20:02下载

积分：1
DTMF
自己用matlab编的语音合成识别程序，验证好使。(Yourself using matlab speech synthesis recognition program, verify so.)

2020-12-17 19:29:11下载

积分：1
voicehmm
这是我的毕业设计的完整程序，非常有参考价值，包括数据，预处理，训练，识别，包括眼马尔科夫模型和神级网络，马上毕业了，传上做个纪念(This is my graduation project of the complete program is very valuable, including data, preprocessing, training, recognition, including the eye-level Markov model and the God of the network, once graduated, to be a memorial mass on )

2011-05-05 02:31:12下载

积分：1
chapter2-low-bit-rate-speech-coding
Chapter 2 Low Bit-Rate Speech Coding In this chapter an overview is given of speech coding techniques at several bit rates. Most of them use Linear Prediction. This overview is not meant to be complete its purpose is to make the reader somewhat familiar with Linear Predictive Coding which is necessary for a proper understanding of later chapters. Section 2.1 treats the subject of quantisation and coding. In section 2.2 a description of speech production and speech sounds is given. Coders based on linear prediction can be considered as being based on a simple speech production model. This model is explained in section 2.3. Section 2.4 describes various speech coding algorithms and techniques. Section 2.5 briefly describes some measures for the quality of coded speech.(In this chapter an overview is given of speech coding techniques at several bit rates. Most of them use Linear Prediction. This overview is not meant to be complete its purpose is to make the reader somewhat familiar with Linear Predictive Coding which is necessary for a proper understanding of later chapters. Section 2.1 treats the subject of quantisation and coding. In section 2.2 a description of speech production and speech sounds is given. Coders based on linear prediction can be considered as being based on a simple speech production model. This model is explained in section 2.3. Section 2.4 describes various speech coding algorithms and techniques. Section 2.5 briefly describes some measures for the quality of coded speech.)

2010-07-02 19:42:42下载

积分：1
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

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