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yuyinxuebo
- 利用三电平中心削波自相关法实现清、浊音判定，并提取一段话音的基频参数，绘制基频曲线，并将该参数曲线合并到前面提取的短时过零率和短时能量参数曲线图中-Using a three-level center clipping from the relevant law to achieve clear, voiced determination, and extract some of the fundamental parameters of the voice, drawing the funda
eng2
- 语音信号的短时能量计算，可以计算语音信号的短时能量，在不同窗口形状与长度下-Short-term energy of the speech signal, can calculate the time speech signal energy at different window shapes and lengths
wavenergy
- 画出时间波形，画出短时能量图，给出海宁窗，给出帧长和帧移-Time waveform draw, draw short-term energy diagram given Hanning window given frame size and frame shift
functions
- 语音信号处理的一些函数，包括短时谱、自相关、短时能量、过零率等-Some functions of speech signal processing, including short-term spectrum, autocorrelation, short-term energy, zero-crossing rate, etc.
Endpoint-detection
- 基于短时能量与过零率、倒谱特征和谱熵的三种语音端点检测-Endpoint detection
endpoint-detection
- 基于短时能量和短时平均过零率的语音信号的端点检测程序-Endpoint detection procedures based on short-term energy and zero-crossing rate of the average voice signal
endpoint-detection-methods-of-voice
- 判断出语音的端点，基本算法是短时能量和短时过零率双门限算法。-Determine the voice endpoint, the basic algorithm is a short-term energy and zero-crossing rate double threshold algorithm.
dmt
- 基于短时能量和过零率的双门限语音端点检测.选择信号分别为一段女声和一段男声：“今天周一，天气晴朗。”运行结果分别显示两者的短时能量和过零率图，可以用来对比其两者的不同。-Choose based on double threshold voice endpoint detection rate of short-term energy and zero-crossing signals were some female and some male voice: " Today, Mond
spectral-subtraction-algorithm
- 本文首先研究了语音激活检测算法。对基于短时能量和短时过零率双门限法语音激活检测的噪声估计算法做了研究及仿真，同时还研究了一种基于最小子带能量的噪声估计方法。-Firstly, studied voice activity detection algorithms. Based on activity detection and short-term energy zero rate threshold method voice noise estimation algorithm to do t
Voice-signal-pre-processing
- 语音识别前期处理代码，包括语音信号预处理，预加重，加窗分帧，短时能量及短时平均幅度分析，短时平均过零率，短时自相关分析，短时平均幅度差函数。-Speech recognition pre-processing code, including voice signal pre-processing, pre-emphasis, windowing sub-frame, and the short-term average short-term energy analysis, the averag
ss
- 进行语音信号的切分处理，处理切分方法是根据短时能量和短时过零率进行的- ON划词翻译ON实时翻译 Segmentation of speech signal processing, segmentation method is based on short-time energy and short-time zero crossing rate of
edp
- 语音信号的是与分析 有短时能量短时过零等分析-Speech signal analysis There is a short energy short-time zero crossing analysis, etc
energy
- 短时能量计算，计算加窗语音序列的短时平均能量。-Short-term energy, calculated windowed speech sequence of short-term average energy
MFCC
- MATLAB上对语音信号基于短时能量和短时过零率的端点检测-MATLAB on the speech signal endpoint detection based on short-term energy and zero-crossing rate
vad
- 基于短时能量和短时平均过零率的端点检 -Based on the average short-term energy and zero-rate short-term endpoint detection
yuyinxinhaochuli
- 本实验要求掌握时域特征分析原理，并利用已学知识，编写程序求解语音信号的短时过零率、短时能量、短时自相关特征，分析实验结果，并能掌握借助时域分析方法所求得的参数分析语音信号的基音周期及共振峰。基于MATLAB的语音信号时域特征分析-In this study, the analysis required to master the principles of time-domain characteristics, and use the learned knowledge to write pr
speech-recognition
- 基于MATLAB的语音端点检测短时能量matlab实现短时过零率matlab实现-Speech endpoint detection based on MATLAB short-time energy MATLAB short-time zero crossing ratio of MATLAB
vad
- 基于matlab的语音端点检测源码，采用短时能量短时过零率的端点检测，检测效果良好，亲测可用-Based on endpoint detection matlab source code, using short-term energy endpoint detection Short-term zero rate detection works well, pro-test available
1
- 输入一段语音信号后能够计算语音信号的短时能量，并画出其图形-Enter a voice signal can be calculated short-term energy of the speech signal, and draw its graphics
timedomaincharactersticsanalysis
- 设计一个简单的GUI界面，对导入的音频文件进行时域特性分析。计算其时域波形、平均幅度、短时能量、短时过零率。对该音频文件进行加噪处理，分析其时域波形变化。设定一个固定时长，对该音频添加回声并保存为“*.wav”格式文件。 对音频文件的时域分析是对音频文件进行传输、降噪及其他再编辑的基础。其中短时能量可用作清浊音区分的标准和语音起始点的判断。短时过零率可用作判断有声段与无声段和从背景噪声中提取语音信号。 -Design a simple GUI interface that time