搜索资源列表
endpoint
- 语音端点检测Matlab程序,-Matlab voice endpoint detection procedures,
EndPointDetectionDlg.rar
- 语音端点检测,VC+matlab混合编程,这个文件是包含语音端点检测的代码,用的是时频参数算法,Speech Endpoint Detection, VC+ Matlab mixed programming, this document is contained in voice activity detection of code, using a time-frequency parameters algorithm
matlab
- 双门限法检测离散语音端点,方法简单,易实现,常用语低噪环境-Double threshold discrete speech endpoint detection method is simple and easy to implement, low-noise environment commonly used terms
detection
- 基于倒谱,分形,和谱熵的语音端点检测程序,三个文件夹内对应三种程序-Cepstrum-based, fractal, and spectral entropy of speech endpoint detection procedures, the three folders corresponding to the three procedures
noisex
- 递归度信号处理.可用语语音信号处理,如端点检测,清浊音分割.-Recursive-degree signal processing. Can be language speech signal processing, such as endpoint detection, segmentation Voicing.
vad
- 几篇带噪声语音信号端点检测算法的论文,希望对大家有用-Speech signal with noise several endpoint detection algorithm for papers, in the hope that useful
ddjc
- 利用短时平均能量和短时平均过零率,对语音信号进行端点检测-Average energy use of short-term and short-time average zero-crossing rate, speech endpoint detection signal
Endpoint
- 基于短时能量的语音端点检测 matlab程序 基于短时能量的语音端点检测 matlab程序-Short-term energy-based voice activity detection matlab program
voice
- 基于谱减法的语音端点检测,运用了语音增强,去噪,谱减,加窗,端点检测等方法-Spectral subtraction based speech endpoint detection, using a speech enhancement, denoising, minus spectrum, add windows, endpoint detection methods such as
endpointdetection
- 语音检测的目的是在一串连续的记录信号中将重要的信息分离出来。在电信应用领域,语音检测是必需的。对于自动语音识别,端点检测在分离重要语音信息时是必需的,这样可以产生语音模式或语音模板。-Voice detection is aimed at a string of consecutive records of information important signal will be separated. At the field of telecommunications applications
MATLAB-YUYINSHIBIE
- 这是语音识别的几个程序,包括语音的特征提取、端点检测的程序。-This is the number of speech recognition procedures, including the voice feature extraction, endpoint detection procedure.
emd
- 这个程序使用来对语音信号进行端点效应处理,以减小端点效应对信号带来的误差。、-This process used to signal the endpoint of the voice effect processing, to reduce the effect of endpoint error signal. ,
audio processing
- 语音信号处理-对输入语音信号进行端点检测和基音轨迹的检测(利用acf、amdf和acf/amdf三种方法)。-Speech Signal Processing- the input voice signal trajectory endpoint detection and pitch detection (using acf, amdf and acf/amdf three methods).
F2_6764
- 端点检测是指用数字处理技术来找出语音信号中的各种段落(如音素、音节、词素、词等)的始点和终点的位置。语音段起止端点检测是语音分析、语音合成和语音识别中的一个必要环节。传统的端点检测方法是从wav文件中获取语音采样,将其分帧并计算短时能量和过零率参数,然后进行端点检测。这种工作方式被称为离线处理方法 ,无法实现语音信号的实时处理,对于语音信号分析具有一定的局限性。本文通过开发ActiveX控件,在MATLAB环境下将其嵌入到figure窗口中,以GUI程序的方式使用,实现语音信号端点检测的实时处
endpoint
- 计算语音信号的端点 采用双门限法进行检测-Speech signal endpoint computing double-threshold detection method
houghline
- 端点检测,不同于普通流行的源码,是一个外国人写的,需要就下吧-Endpoint detection, unlike ordinary popular source code, is written by a foreigner needs to on the next bar
dtw
- dtw文件是运用DTW算法实现安静环境下语音识别的。其中vad.m是端点检测程序;lpc.m是计算LPC参数的程序;lpc21lpcc.m是计算LPCC参数的程序;mfcc.m是计算MFCC参数的程序;dtw.m是实现经典DTW算法的程序;dtw2.m是实现高效DTW算法的程序,testdtw.m是最终测试程序,其中可以通过改变其中的特征参数名选择不同的特征参数。-dtw file DTW algorithm is to use speech recognition in quiet envir
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;trai
snr
- 未加端点检测的说话认识别,带测试语音,可直接运行-Endpoint detection of speech does not increase understanding of other, with the test voice, can be directly run
endpoint
- 读取语音文件,预处理,短时能量、过零率分析,进行端点检测(Read voice files, preprocessing, short time energy, zero crossing rate analysis, endpoint detection.)