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FIR
绘制一段语音信号的波形并观察其频谱，用三角窗设计一个满足给定相应技术指标的FIR滤波器，对该语音信号进行滤波去噪处理，比较滤波前后的波形和频谱并进行分析。
- 2021-03-22 16:29:16下载
- 积分：1
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aec
回音消除算法matlab,采用的VIRE的双方通话检测(Matlab algorithms eliminate echoes, the two sides call the VIRE Detection)
- 2007-07-03 10:09:14下载
- 积分：1
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duoxinhaofenli
多信号分离MUSIC的经典学习程序
对初学者帮助很大(it is a baisc and useful code of the multiple signal classfication for the beginners.)
- 2013-09-11 20:32:20下载
- 积分：1
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GMM
matlab 实现的基于GMM的说话人识别系统(matlab implementation of the GMM-based speaker recognition system)
- 2011-11-28 14:46:38下载
- 积分：1
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ACFandAMDFpitch
短时自相关和短时平均幅度差计算基音周期的matlab程序，附带有原语音信号(Short-term autocorrelation and short-term average deviation of pitch period matlab program, comes with the original speech signal)
- 2013-08-13 09:02:28下载
- 积分：1
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hspredict
利用自适应滤波器对心音信号进行预测，包括了LMS算法，归一化LMS，变步长LMS和RLS算法，其中RLS的预测效果最好.(Heart sound signals using adaptive filter to predict, including the LMS algorithm, the normalized LMS, variable step size LMS and RLS algorithm, in which the best forecast of RLS.)
- 2013-06-05 22:31:03下载
- 积分：1
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coherence_MVDR_jacob-benesty
本文介绍MVDR算法实现及其改进 用于多麦克风语音增强(The minimum variance distortionless response (MVDR),
originally developed by Capon for frequency-wavenumber
analysis, is a very well established method in array process-ing. It is also used in spectral estimation. The aim of this
paper is to show how the MVDR method can be used to es-timate the magnitude squared coherence (MSC) function,
which is very useful in so many applications but so few
methods exist to estimate it)
- 2021-03-10 19:59:26下载
- 积分：1
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voice-recognition
3、语音特征提取与分类
首先, 待识别语音转化为电信号后输入识别系统, 经过预处理后用数学方法提取语音特征信号, 提取出的语音特征信号可以看成该段语音的模式。(3, the voice feature extraction and classification First, to be recognized voice into electrical signals input recognition system, after pretreatment with a mathematical method to extract speech characteristic signal extracted speech characteristic signal can be seen as the voice segment model.)
- 2014-08-05 15:30:46下载
- 积分：1
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jcsb
文中研究了6种常用数字调制信号识别的特征参数集，并采用决策树判别方法进行分类识别。仿真结果表明，在SNR≥5dB时，识别正确率在99 以上，且当SNR≥20dB时，识别正确率达到100 。其特点是，算法简单，识别正确率高，达到了自动分类识别的目的，并有利于实现识别的实时化。(In this paper, we study the set of characteristic parameters of the six kinds of commonly used digital modulation signal recognition, and decision tree method for classification. The simulation results show that SNR 鈮� 5dB, the correct rate more than 99 , and when SNR 鈮� 20dB, the correct rate of 100 . Which is characterized by simple algorithm to identify the correct rate, to achieve the purpose of automatic classification and recognition, and help to identify real-time.)
- 2012-07-19 09:29:58下载
- 积分：1
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efg
给出了通信系统中语音信号的MATLAB仿真文档(Given speech signal communication system documentation MATLAB simulation)
- 2010-05-12 23:17:14下载
- 积分：1
